Production systems are one of the most widely used models of knowledge representation and application. They have demonstrated their success as a software technology for solving ill-structured problems.Though they have been implemented successfully in many domains, building these systems is a challenging task because of the ill-defined nature of the applications and the novel nature of the technology. Since the architecture of production systems is dissimilar to typical procedural software, lots of conventional software evaluation techniques cannot be (...) available easily to them. So, there has been a demand for a practical verification systems which help the knowledge-base designer to develop production systems, and to assure the validity of them. This paper presents two verification systems that can be used to verify the dynamic properties of OPS5, which is the most general production system arguably. One is a system which predicts the sequence of rules that must fire to archieve given specific goal state concerned with a final state or an intermediate state representing a meaningful advancement in reaching a final state. The prediction is performed at compile-time, only with static informations and a set of declarations for the objective goal state. This system can generate the information to determine whether the manner in which the developed production system will pursue given goal state at run-time is valid according to the specifications and expectations of the knowledge-base designer. The other is a system which automatically detects some exceptions which may occur at run-time by using meta-knowledges. Meta-knowledges are constructed by the knowledge-base designer in conjunction with the domain expert implicitly. They represent his design or semantic specification of the knowledge-base, such as valid range of attribute values, range of attribute values requested by the knowledge-base and unexpected inconsistent states. This system is implemented additionally to OPS5 framework. The detection is performed at run-time and is taken in every inference-cycle. By introducing both of two systems described in the above into the development process of production systems, the costs of the knowledge-base designer are reduced, and it becomes possible that to some extentreliability is guaranteed in the system which was finally completed. (shrink)

The hegemony of Western science, inherent in international development projects, often increases the poverty and oppression of Third World women by pre-empting alternative realities. In African and Asian agrarian societies women grow from 60 to 90% of the food (World Bank, 1989); they hold incredible potential to increase food production. Their ability to operate under more marginal conditions than their male counterparts would seem to indicate that they have developed valuable knowledge— knowledge often generated in response to (...) limited access to the more tangible resources offered by development assistance to male farmers.Recognizing the marginalization of women in the Third World, the Women in Development (WID) network was established during the 1970's to produce knowledge about women, fill in the gaps, and set the record straight. But knowledge creation for these purposes leaves underlying paradigms of Western science-based development unquestioned. Research from a feminist standpoint is used to challenge the objectivity and reliability of EuroAmerican development science. To date, WID has documented and analyzed the causes and consequences of Third World women's oppression with no substantial results to end them. Alternatively, feminist research validates women's perceptions of their reality, helping ordinary people to understand the connections between their experiences and broader social, economic, and political struggles. The paper emphasizes research pursued in order to act, closely linking knowing to doing to promote the emancipation of oppressed groups. A feminist standpoint is used to privilege the perspective of rural women in developing countries and ask: “What are the implications of the standard EuroAmerican approach to science for maximizing the potential contributions of rural women to agricultural development?” Some of these implications are illustrated with examples from on-farm research in Nigeria. To some extent, implications can be addressed by constructing meanings to structure a symbolic framework that includes female farmers and other disadvantaged groups. (shrink)

The article focuses on process management in public administration using the specific case study of the statutory city of Ostrava. Based on the selected part of the PAPRIS methodology, the process management is verified, and conclusions from the application of information system e-SMO are generalized. Ostrava is third the biggest city in Czech Republic with approximately 320 thousand citizen. Article describes experiences with SW implements, which are used for model of process in public administration. Particulary at local authority (...) of Ostrava town. Model of process is a basis for reengineering of process in state administration and preparation for implementation of big information systems. Mapping of process is providing implement and confirmation methodology to identify existing processes. Problem with its using consist in that, senior manager don’t informs, what organization is determination by processes. If are not described in given to organization current processes, or how would have had look new optimum processes, will not endeavour about reengineering successful. Procedural analysis namely offer tool and check methodology to identification current suit and it is possible him use either as instruction for reengineering function handling administrative and self-rule activities. Purpose of the article: The PAPRIS methodology was used when defining the objectives for implementation of the information system for public administration. This methodology has been elaborated by one of the authors and published in a very general scheme when solving many case studies,,. We assume that the PAPRIS is primarily a methodology with incorporated elements of procedural approach for project management in public administration information systems. The specific supporting process of communication between the client and the e-SMO system has been chosen for verification. The model of supporting communication process, created by ARIS tools, is crucial, and the structure of scripts is subsequently made. The aim of this article is to verify that the methodology is sufficient and appropriate to manage such a large project such, undoubtedly, is the e-SMO. Methodology/methods: Defined productive and non-productive processes with their defined process cuts represent a crucial category for the process structure of IS projects. This is fully accepted by the PAPRIS methodology. Process cuts are understood, in the logic modelling according to the PAPRIS methodology, as clearly defined logic directional cuts in three-dimensional space of all project processes. The process set is systemically categorized, in a given logic directional cut, into mutually disjoint process subsets, which are characterized by this particular directional operator. The directional operator always has a clear logical allocation that is based on the construction of a process view. Theoretically, an infinite number of process views can be used. One of the important issues in a methodology for the case studies includes the size of the research sample. It is usually assumed that there is no ideal number of cases and that the number between four and ten usually provides good results. Other authors defining against any quantitative standards for any determination of the sample size of the case studies, since such an approach denies the internal logic of this methodology and the richness of the information obtained from participants in the research. Research which is carried out using case studies does not aspire on compliance with the requirement the representativeness of the sample.. Methodology of case studies is among the established guidelines of qualitative research. Research on using case studies in the last 30 years has seen an extraordinary increase in social-scientific research, including research on business and management. Scientific aim: The essential aim of this study is to describe the way the process cut defines a productive process and non-productive process, in accordance with the PAPRIS methodology using the specific example. While the triggering mechanism of the project production process is an event causing its own production - i.e. the specific output with added value for the customer, the project of non-productive process is caused by the project management event. Therefore, it is caused by the need to control, monitor, track, inspect, evaluate outputs, decide and regulate the project implementation. Findings: Within the support of the communication process, two examples were used to verify the methodology. The global perspective on the process was created in ARIS tools and the communication between the call centre and the client was made in Visio tools. The PAPRIS methodology is based on the concept of process variability, which has been clearly formulated. The fundamental direction of the process development, anticipated changes and the opportunity to react to them in accordance with defined objectives of the PAIS project are guaranteed. (shrink)

There has been much talk of the need to build intermediate models of the expertise required preparatory to constructing a knowledge-based system in the legal domain. Such models offer advantages for verification, validation, maintenance and reuse. As yet, however, few such models have been reported at a useful level of detail. In this paper we describe a method for conceptualising legal domains as well as its application to a substantial fragment of the Dutch Unemployment Benefits Act (DUBA).We (...) first discuss the intermediate models (called expertise models), then present a three-stage method for their construction, drawing on the CommonKADS work in knowledge acquisition, conceptual models of statute law, and the KANT method of knowledge analysis. Subsequently, we describe how these techniques were applied to the DUBA, and provide detailed examples of the resulting model. Finally, conclusions on the framework and guidelines are given as well as means of recording and presenting the various design choices. (shrink)

In attempting to build intelligent litigation support tools, we have moved beyond first generation, production rule legal expert systems. Our work integrates rule based and case based reasoning with intelligent information retrieval.When using the case based reasoning methodology, or in our case the specialisation of case based retrieval, we need to be aware of how to retrieve relevant experience. Our research, in the legal domain, specifies an approach to the retrieval problem which relies heavily on (...) an extended object oriented/rule based system architecture that is supplemented with causal background information. We use a distributed agent architecture to help support the reasoning process of lawyers. (shrink)

This paper provides a detailed description of the recommendation system and collaborative filtering algorithm to optimize the English learning platform through the collaborative filtering algorithm and analyses the algorithmic principles and specific techniques of collaborative filtering. After introducing the recommendation system and collaborative filtering algorithm, this paper elaborates on the theoretical basis and technical principles of the recommendation algorithm based on cognitive ability and difficulty and provides an in-depth analysis of the design and implementation of the recommendation (...) algorithm by combining cognitive diagnosis theory, readability formula, and English knowledge map, which provides a comprehensive and solid theoretical guidance and support for the application development of the online English learning platform. The system is tested by building a Spring Cloud platform, importing actual business data, focusing on the validation of the recommendation model, and connecting the recommendation system to the formal production system to analyse the recommendation effect. Compared with the original recommendation method, the online English learning platform designed and implemented in this paper based on the cognitive ability and difficulty collaborative filtering recommendation algorithm has a better recommendation effect. The system is proved to be well designed and has certain reference and guiding value for the whole web-based online learning platform and has a broader application prospect nowadays and in the future. (shrink)

With increasing publication and data production, scientific knowledge presents not simply an achievement but also a challenge. Scientific publications and data are increasingly treated as resources that need to be digitally ‘managed.’ This gives rise to scientific Knowledge Management : second-order scientific work aiming to systematically collect, take care of and mobilise first-hand disciplinary knowledge and data in order to provide new first-order scientific knowledge. We follow the work of Leonelli, Efstathiou and Hislop in our (...) analysis of the use of KM in semantic systems biology. Through an empirical philosophical account of KM-enabled biological research, we argue that KM helps produce new first-order biological knowledge that did not exist before, and which could not have been produced by traditional means. KM work is enabled by conceiving of ‘knowledge’ as an object for computational science: as explicated in the text of biological articles and computable via appropriate data and metadata. However, these founded knowledge concepts enabling computational KM risk focusing on only computationally tractable data as knowledge, underestimating practice-based knowing and its significance in ensuring the validity of ‘manageable’ knowledge as knowledge. (shrink)

The Knowledge-Based Bio-Economy has gained prominence as an agricultural R&D agenda of the European Union. Specific research policies are justified as necessary to create a KBBE for societal progress. Playing the role of a master narrative, the KBBE attracts rival visions; each favours a different diagnosis of unsustainable agriculture and its remedies in agro-food innovation. Each vision links a technoscientific paradigm with a quality paradigm: the dominant life sciences vision combines converging technologies with decomposability, while a marginal one (...) combines agro-ecology with integral product integrity. From these divergent visions, rival stakeholder networks contend for influence over research policies and priorities, especially within the Framework Programme 7 on Food, Agriculture, Fisheries and Biotechnology, which has aimed to promote a Knowledge-Based Bio-Economy. Although the FAFB programme has favoured a life sciences vision, agro-ecological approaches have gained a presence, thus overcoming their general lock-out from agricultural research agendas. In their own way, each rival paradigm emphasises the need for collective systems to gather information for linking producers with users, as a rationale for the public sector to fund distinctive research priorities. (shrink)

The purpose of this article was to validate the published artificial intelligence facilities management outsourcing relationships system by real business cases in the working environment. The research aims to inspire the modern FM professionals in different industries with some challenging and innovative concepts about FM outsourcing relationships between facilities owners and service providers. First, it will briefly introduce the theory of the FM outsourcing relationships system on how it can help the FM seniors and strategists to design their (...) FM daily strategies wisely and make their business more effective and productive. Second, it will also introduce what the research is practically doing in the stage of case study for test and verification. It is concluded that FM outsourcing categorization may help to define the appropriate relationships. This further detailed outcome generated from the AI can be considered a solid reference to define and explain the existing outsourcing relationships between the stakeholders and the service providers to assign an outsourcing category to the FM relationship between the client and service provider based on the learnt rules. (shrink)

The classification of unvoiced stops in consonant–vowel syllables, segmented from continuous speech, is investigated by features related to speech production. As burst and vocalic transitions contribute to identification of stops in the CV context, features are computed from both regions. Although formants are the truly discriminating articulatory features, their estimation from the speech signal is a challenge especially in unvoiced regions like the release burst of stops. This may be compensated partially by sub-band energy-based features. In this work, (...) formant features from the vocalic region are combined with features from the burst region comprising sub-band energies, as well as features from a formant tracking method developed for unvoiced regions. The overall combination of features at the classifier level obtains an accuracy of 84.4%, which is significantly better than that obtained with solely sub-band features on unvoiced stops in CV syllables of TIMIT. (shrink)

This article is autoethnographic, based upon the authors’ experiences and reflections upon encountered moments of ethical tension whilst conducting research in rural Malawi. Given that knowledge production, as a process, has been marred by colonial forms of power, the project was underpinned by efforts to achieve a decolonial approach to the research, including the research ethics. The authors share of their endeavours to counterbalance the challenges of power asymmetries whilst researching and working with an Indigenous community whose (...) reality can be marginalised by the Western canon. The authors attempted to ensure that the values and customs of the researched community were respected and central to the research approach. When researchers are guided by local culture and customs, the participants are able to drive the research approach, incorporate their voice and share knowledge that is true to their context and reality. In this way, the research study is illustrative of how an ethics of care can help to facilitate decolonial research practice. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy of Music Education Review 12.2 (2004) 102-125 [Access article in PDF] Towards an Ecology of Music Education June Boyce-Tillman King Alfred's College, England Western culture has developed a concept of knowledge as divided into discrete categories, which are reflected in the disconnected subjects of our school curricula and the titles of our university faculties. However, music should be intimately bound up with the wider curriculum, particularly in (...) the areas of personal, social, cultural, moral, and spiritual education. From an examination of the values that are implicit in the musical traditions that dominate music education in Western culture, in this paper I will set out some pointers towards a more ecological understanding of music education, drawing on experiences I have had with music and music education in a variety of settings. I will examine how musicology has concentrated only on certain aspects of the musical experience, ignoring areas such as expressive character, value systems, and spirituality, which are the areas that link the musical experience to the fabric of life as lived beyond the confines of the classroom and academe. This paper seeks to re-establish a notion of connectedness both within the musical experience and also beyond it and through it to other areas of knowledge and understanding. For this I have adopted the term "ecology." To explicate this notion of ecology, I have developed a model which incorporates the values that are both usually associated with Western culture and are subjugated by it, drawing on the experience of music itself. [End Page 102] Ways of Knowing The first of these models deals with the social construction of knowledge. Stan Gooch defines two systems of thought embodied in various cultures in the world. He identifies the favored characteristics of one system (Type A) as activity leading to products; objectivity; impersonal logic; thinking and thought; detachment; and discrete categories of knowledge that are based on proof and scientific evidence. The other system (Type B) favors being; subjectivity; personal feeling; emotion; magic; involvement; associative ways of knowing; and belief and non-causal knowledge.1Gooch suggests that the Western world has chosen to value the first of these systems and neglect the other. This is done by a process of devaluation that can be carried out in various ways. In the Western media this devaluation can be manifested as public ridicule or by simply ignoring those events that reflect Type B values. Community-building activities based on associative ways of knowing and acknowledgement of people's feelings and sensibilities are not reported, while a considerable amount of space is given to the essentially dehumanizing practices of warfare and the dissociative practices of violence and crime. For example, reports and articles on holistic, associative approaches to health based on belief systems that defy rational explanation often end with throw-away comments like "If you believe that, then you will believe anything!" Public figures sometimes indulge in similar practices in their pronouncements by initiating policies to outlaw health practices that cannot be supported by scientific methodologies and appealing to the grounds of public safety. People who wish to embrace the values of Type B can easily be pathologized or criminalized as the dominant culture seeks to reinforce the validity of its Type A values. Academic, medical, psychological, and even sociological research concentrates on so-called objective methodologies associated with scientific ways of knowing and the use of numbers in some shape or form. Qualitative methodologies that collect people's stories are often regarded with suspicion because of the alleged subjectivity of the approach.So the values of Type B have become hidden or repressed by Western culture. I have therefore called the ways of knowing that characterize Type B "subjugated ways of knowing,"2 following the work of Michel Foucault and his notion of subjugated knowledges.3 This paper will concentrate on how the ideas of the subjugated ways of knowing can be used to understand where we are in music education, drawing on my experience in the UK. I shall look at ways of bringing the two ways of knowing-Type A and... (shrink)

To characterize human emotions, researchers have increasingly utilized Automatic Facial Expression Analysis (AFEA), which automates the Facial Action Coding System (FACS) and translates the facial muscular positioning into the basic universal emotions. There is broad interest in the application of FACS for assessing consumer expressions as an indication of emotions to consumer product-stimuli. However, the translation of FACS to characterization of emotions is elusive in the literature. The aim of this systematic review is to give an overview of how (...) FACS has been used to investigate human emotional behavior to consumer product-based stimuli. The search was limited to studies published in English after 1978, conducted on humans, using FACS or its action units to investigate affect, where emotional response is elicited by consumer product-based stimuli evoking at least one of the five senses. The search resulted in an initial total of 1,935 records, of which 55 studies were extracted and categorized based on the outcomes of interest including (i) method of FACS implementation; (ii) purpose of study; (iii) consumer product-based stimuli used; and (iv) measures of affect validation. Most studies implemented FACS manually (73%) to develop products and/or software (20%) and used consumer product-based stimuli that had known and/or defined capacity to evoke a particular affective response, such as films and/or movie clips (20%); minimal attention was paid to consumer products with low levels of emotional competence or with unknown affective impact. The vast majority of studies (53%) did not validate FACS-determined affect and, of the validation measures that were used, most tended to be discontinuous in nature and only captured affect as it holistically related to an experience. This review illuminated some inconsistencies in how FACS is carried out as well as how emotional response is inferred from facial muscle activation. This may prompt researchers to consider measuring the total consumer experience by employing a variety of methodologies in addition to FACS and its emotion-based interpretation guide. Such strategies may better conceptualize consumers' experience with products of low, unknown, and/or undefined capacity to evoke an affective response such as product prototypes, line extensions, etc. (shrink)

In this paper a Knowledge-Based System (KBS) for determining the appropriate students major according to his/her preferences for sophomore student enrolled in the Faculty of Engineering and Information Technology in Al-Azhar University of Gaza was developed and tested. A set of predefined criterions that is taken into consideration before a sophomore student can select a major is outlined. Such criterion as high school score, score of subject such as Math I, Math II, Electrical Circuit I, and Electronics (...) I taken during the student freshman year, number of credits passed, student cumulative grade point average of freshman year, among others, were then used as input data to KBS. KBS was designed and developed using Simpler Level Five (SL5) Object expert system language. KBS was tested on three generation of sophomore students from the Faculty of Engineering and Information Technology of the Al-Azhar University, Gaza. The results of the evaluation show that the KBS is able to correctly determine the appropriate students major without errors. (shrink)

Approaches to environmental verification, broadly defined, including varieties of certification and testing, is always intended to change production processes, and cause structural changes. However, sometimes these approaches can differ substantially—based on values and objectives—and thus structure farming processes in varied ways. They can also affect nature-society relations, by determining what differences matter, emphasizing ways of assessing standards that are deemed important, and deciding whether those standards have been met. Here, I compare two types of environmental verification systems for (...) organic and “safe” or “clean” rice, one in northeastern Thailand and the other in southern Laos. The approach used in northeastern Thailand is designed predominantly to gain access to Europe and the United States markets, and is dependent on regular and detailed farm documentation, inspections, and interviews. The other is more of a residue testing and marketing system, one that also has important environmental implications and is being applied for rice from southern Laos. I call the first process-based verification, and the second product-based verification. It is contended here that we need to consider how environmental verification in different forms variously structures production systems, although there are also other important factors, such as China-Laos relations. Crucially, these practices variously affect cultivation and production practices, and thus have important environmental implications, whether fully intended or not. (shrink)

Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main (...) goal of this expert system is to get the appropriate diagnosing of the illness, dealing with it quickly, and tips for permanent treatment whenever possible is given out. SL5 object expert system language was used for designing and implementing the proposed expert system. (shrink)

Knowledge Representation and Reasoning (KR&R) is based on the idea that propositional content can be rigorously represented in formal languages long the province of logic, in such a way that these representations can be productively reasoned over by humans and machines; and that this reasoning can be used to produce knowledge-based systems (KBSs). As such, KR&R is a discipline conventionally regarded to range across parts of artificial intelligence (AI), computer science, and especially logic. This standard view (...) of KR&R’s participating fields is correct — but dangerously incomplete. The view is incomplete because, as we explain herein, sophisticated KR&R must rely heavily upon philosophy. Encapsulated, the reason is actually quite straightforward: Sophisticated KR&R must include the representation of not only simple properties, but also concepts that are routine in the formal sciences (theoretical computer science, mathematics, logic, game theory, etc.), and everyday socio-cognitive concepts like mendacity, deception, betrayal, and evil. Because in KR&R the representation of such concepts must be rigorous in order to enable machine reasoning (e.g., machine-generated and machine-checked proofs that a is lying to b) over them, philosophy, devoted as it is in no small part to supplying analyses of such concepts, is a crucial partner in the overall enterprise. To put the point another way: When the knowledge to be represented is such as to require lengthy formulas in expressive formal languages for that representation, philosophy must be involved in the game. In addition, insofar as the advance of KR&R must allow formalisms and processes for representing and reasoning over visual propositional content, philosophy will be a key contributor into the future. (shrink)

Background: Dengue Disease is a mosquito-borne tropical disease caused by the dengue virus, symptoms typically begin three to fourteen days after infection. This may include a high fever, headache, vomiting, muscle and joint pains, and a characteristic skin rash. Dengue serology is applied in different settings, such as for surveillance, in health care facilities in endemic areas and in travel clinics in non-endemic areas. The applicability and quality of serological tests in dengue endemic regions has to be judged against a (...) background of potential cross reactivity with other flavi-viruses, difficulties in distinguishing primary from secondary infections and technological problems related to the fact that most dengue endemic regions are relatively poor of resources .Objectives: to help doctors and patients in diagnosing Dengue Disease and give them the information of how to prevent Dengue Disease and to be able to understand the signs and symptoms of Dengue Disease. Methods: We collected all relevant material for Dengue Disease. Then we designed and implemented a knowledge based system for diagnosing Dengue Disease using SL5 Object Language. Results: The knowledge based system was evaluated by a group of Patients and specialized doctors and they found it very friendly and easy to use. (shrink)

Designing an ontology that meets the needs of end-users, e.g., a medical team, is critical to support the reasoning with data. Therefore, an ontology design should be driven by the constant and efficient validation of end-users needs. However, there is not an existing standard process in knowledge engineering that guides the ontology design with the required quality. There are several ontology design processes, which range from iterative to sequential, but they fail to ensure the practical application of an ontology (...) and to quantitatively validate end-user requirements through the evolution of an ontology. In this paper, an ontology design process is proposed, which is driven by end-user requirements, defined as Competency Questions. The process is called CQ-Driven Ontology DEsign Process and it includes activities that validate and verify the incremental design of an ontology through metrics based on defined CQs. CODEP has also been applied in the design and development of an ontology in the context of a Mexican Hospital for supporting Neurologist specialists. The specialists were involved, during the application of CODEP, in collecting quality measurements and validating the ontology increments. This application can demonstrate the feasibility of CODEP to deliver ontologies with similar requirements in other contexts. (shrink)

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly (...) diagnoses Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease. (shrink)

Nowadays, higher education worldwide is affected by the COVID-19 pandemic. It has affected students’ attendance in the universities and causes universities to close down in more than 190 countries. On the other hand, novice engineers studied only a few lectures related to highway engineering. Their lectures have included very little knowledge about asphalt pavement construction as highway engineering consists of many areas that are not studied in detail during their studying years subject to their traditional education. Due to all (...) mentioned, a new drive to promote online learning paves the way to evaluate our future approach to curriculum development and delivery of educational materials for engineering courses. However, experts can offer solutions to these problems using their past experience. Hence, a system that allows experts to share their experience with other engineers after completing a project is needed. Nevertheless, the web-based expert system for maintaining flexible pavement problems in tropical regions designed in this study is a novel concept. Prior to developing this system, the need for such a system was determined through literature review and validated through a questionnaire survey. Experts were interviewed, and a questionnaire survey was conducted to construct the knowledge base of the system. Knowledge was presented as rules and coded in software through PHP programming. Web pages that support the user interface were designed using a framework that consists of CSS, HTML, and J-Query. Furthermore, the system was tested by an array of users engaged in highway engineering, namely, experts, teaching experts, novice engineers, and students. The mean values of the overall system evaluation performed by 20 users using a five-point Likert scale were 4, 4.5, 3.75, 4.25, 5, 4, and 3.5. Expert and user satisfaction prove the effectiveness of the proposed system. (shrink)

Philosophical investigation in synthetic biology has focused on the knowledge-seeking questions pursued, the kind of engineering techniques used, and on the ethical impact of the products produced. However, little work has been done to investigate the processes by which these epistemological, metaphysical, and ethical forms of inquiry arise in the course of synthetic biology research. An attempt at this work relying on a particular area of synthetic biology will be the aim of this chapter. I focus on the reengineering (...) of metabolic pathways through the manipulation and construction of small DNA-based devices and systems synthetic biology. Rather than focusing on the engineered products or ethical principles that result, I will investigate the processes by which these arise. As such, the attention will be directed to the activities of practitioners, their manipulation of tools, and the use they make of techniques to construct new metabolic devices. Using a science-in-practice approach, I investigate problems at the intersection of science, philosophy of science, and sociology of science. I consider how practitioners within this area of synthetic biology reconfigure biological understanding and ethical categories through active modelling and manipulation of known functional parts, biological pathways for use in the design of microbial machines to solve problems in medicine, technology, and the environment. We might describe this kind of problem-solving as relying on what Helen Longino referred to as “social cognition” or the type of scientific work done within what Hasok Chang calls “systems of practice”. My aim in this chapter will be to investigate the relationship that holds between systems of practice within metabolic engineering research and social cognition. I will attempt to show how knowledge and normative valuation are generated from this particular network of practitioners. In doing so, I suggest that the social nature of scientific inquiry is ineliminable to both knowledge acquisition and ethical evaluations. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and (...) solutions, and also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

Knowledge-Based Systems (KBS) are developed to contain substantial elements of human knowledge and expertise in a well-defined domain, and use these to support user or expert tasks. Issues related to the social and organisational contexts of these systems are widely acknowledged to be particularly critical to their success. However, methodology proposals usually stop short of adequately handling soft and unstructured data that frame the contexts of use. The handling of qualitative data needs to be done in a (...) way that directly impinges on the wider Knowledge-Based System engineering processes and decisions. In this paper, we discuss the nature of context-sensitive issues, and describe a methodological approach for resolving them through the rigorous analysis of qualitative data, using a methodology which is based upon the Grounded Theory method from the social sciences. (shrink)

This paper examines some of the possible legal implications of the production, marketing and use of expert systems. The relevance of a legally useful definition of expert systems, comprising systems designed for use both by laymen and professionals, is related to the distinctions inherent in the legal doctrine underlying provision of goods and provision of services. The liability of the sellers and users of, and contributors to, expert systems are examined in terms of professional malpractice as well as product (...) liability. A recurring theme indicates that legislators may be inclined to restrict possibilities of liability suits in order to avoid disincentives to the creation of expert systems. (shrink)

No kind of technology has had such a profound effect upon our lives and society as the new knowledge-based systems which start to overcome the traditional computer technology. Few areas of science raise such high expectations and meet with so much sceptical resistance as Artificial Intelligence (AI). So it is the task of philosophy of science and technology to analyze the factual methodological possibilities of AI-technology. After a historical sketch of AI-development (Chapter 2), the technological foundations of expert (...) systems are described (Chapter 3). It is a surprising result of analysis that expert systems are technical realizations of well-known philosophical methodologies. In this very sense, AI is not only technology, but philosophy too (Chapter 4). On the other hand the question arises if knowledge-based systems can support the work of philosophers of science who want to explain the process of scientific research, inventions, and discoveries. This application of AI for the philosophical professionals is discussed in the 5th chapter. In the 6th chapter some scenarios of AI-technology are described which are expected in the nineties. Then, besides philosophy of science and technology, we have to consider the ethical questions which arise in evaluating the factual impact of AI-technology on our lives and society. (shrink)

In this article, I outline a shift in certain design disciplines away from their particular historical identities to one of borrowing from and validating new design practices from research-based disciplines. While this move to “look outward” and engage with social contexts and disciplines is important, design practice and education often ignores the ongoing critiques of knowledge production that ultimately trace back to social “contexts” within and outside of the borrowed disciplines. Choosing a methodology based on its (...) apparent efficacy without engaging a critical framework can easily exacerbate a “micro-physics of control” (Foucault), which is further extended through the design of large technical and economic branding and information systems that many designers are increasingly involved in. The article concludes with an expansion and suggested application of a critical framing based on “situated and contingent knowledges,” reinventing the idea of subject while reconciling empirical observation as contingent with ongoing critical interrogation. (shrink)

This article deals with detection and accommodation of sensor faults in longitudinal dynamics of an F8 aircraft model. Both the detection of the fault and reconfiguration of the failed sensor are done with the help of neural network-based models. Detection of a sensor fault is done with the help of knowledge-based neural network fault detection. Apart from KBNNFD, another neural network model is developed in this article for the reconfiguration of the failed sensor. A model-based approach (...) of the neural network is developed, which uses the radial basis function of the neural network. MBNN successfully does the task of providing analytical redundancy for the aircraft sensor. In this work, both detection and reconfiguration of a fault is done using neural networks. Hence, the control system becomes robust for handling sensor failures near steady state and reconfiguration is also faster. A generalized regression neural network, which is a type of radial basis network, is used for MBNN, which gives very efficient results for function approximation. An F8 aircraft model and C-Star controller, which improves its handling quality, are used for validation of the method involved. Models of F8 aircraft, C-Star controller, KBNNFD, and MBNN were developed using MATLAB/simulink. Successful implementation and simulation results are shown and discussed using Simulink. (shrink)

Verification and validation of computer codes and models used in simulations are two aspects of the scientific practice of high importance that recently have been discussed widely by philosophers of science. While verification is predominantly associated with the correctness of the way a model is represented by a computer code or algorithm, validation more often refers to the model’s relation to the real world and its intended use. Because complex simulations are generally opaque to a practitioner, the Duhem problem can (...) arise with verification and validation due to their entanglement; such an entanglement makes it impossible to distinguish whether a coding error or the model’s general inadequacy to its target should be blamed in the case of a failure. I argue that a clear distinction between computer modeling and simulation has to be made to disentangle verification and validation. Drawing on that distinction, I suggest to associate modeling with verification and simulation, which shares common epistemic strategies with experimentation, with validation. To explain the reasons for their entanglement in practice, I propose a Weberian ideal–typical model of modeling and simulation as roles in practice. I examine an approach to mitigate the Duhem problem for verification and validation that is generally applicable in practice and is based on differences in epistemic strategies and scopes. Based on this analysis, I suggest two strategies to increase the reliability of simulation results, namely, avoiding alterations of verified models at the validation stage as well as performing simulations of the same target system using two or more different models. In response to Winsberg’s claim that verification and validation are entangled I argue that deploying the methodology proposed in this work it is possible to mitigate inseparability of V&V in many if not all domains where modeling and simulation are used. (shrink)

The capacity to engage in systems thinking is often viewed as being a product of being able to understand complex systems due to one's facility in mastering systems theories, methods, and being able to adeptly reason. Relatively little attention is paid in the systems literature to the processes of learning from experience and creating knowledge as a direct consequence of individuals engaging systems thinking itself over time. In fact, the potential efficacy of systems thinking to improve performance normally seen (...) as only contingent on a priori knowledge, rather than knowledge created via learning from experience. Such newly create knowledge often results from engaging in modeling efforts and systemic forms of inquiry. This article proposes a model for creating new knowledge by coupling systems modeling with a pragmatic approach to knowledge-creation. This approach is based on a foundation of the pragmatic concepts first proposed by the American philosopher/scientist Charles Sanders Peirce over a century ago. This model offers systems practitioners a framework to engage in knowledge-intensive systems thinking (KIST) for addressing complex problematic issues. (shrink)

Accessing knowledge of a single knowledge source with different client applications often requires the help of mediator systems as middleware components. In the domain of theorem proving large efforts have been made to formalize knowledge for mathematics and verification issues, and to structure it in databases. But these databases are either specialized for a single client, or if the knowledge is stored in a general database, the services this database can provide are usually limited and hard (...) to adjust for a particular theorem prover. Only recently there have been initiatives to flexibly connect existing theorem proving systems into networked environments that contain large knowledge bases. An intermediate layer containing both, search and proving functionality can be used to mediate between the two. In this paper we motivate the need and discuss the requirements for mediators between mathematical knowledge bases and theorem proving systems. We also present an attempt at a concurrent mediator between a knowledge base and a proof planning system. (shrink)

In the current social media environment, emotional branding communication has become a common marketing tool for brand owners, and therefore it has become particularly important and urgent to study it. Based on the perspective of brand equity theory, combined with the new characteristics of marketing communication in the social media environment, this paper constructed an emotional branding communication model in the social media environment. The system dynamics method was used to simulate and analyze the new product marketing (...) class='Hi'>system to assess whether it could stir the emotional needs of the consumers and resonate within their hearts. This paper discusses the asymmetric communication of different brands regarding the same commodity to determine the impact of this exchange mechanism, that is, only the weak brands in the market initially adopt marketing methods, while the strong brands do not participate in social marketing activities. It was found that the influence of marketing frequency and marketing intensity on symmetric and asymmetric communications was different. In the face of different types of competitors, the marketing strategy of weak brands needs emphasis. Through unit consistency test, structure verification test, effectiveness, and rationality test, it was proven that the emotional branding communication model and new product sales interaction simulation model established in this paper were reasonable and effective. (shrink)

This paper discusses some engineering considerations that should be taken into account when building a knowledge based system, and recommends isomorphism, the well defined correspondence of the knowledge base to the source texts, as a basic principle of system construction in the legal domain. Isomorphism, as it has been used in the field of legal knowledge based systems, is characterised and the benefits which stem from its use are described. Some objections to and (...) limitations of the approach are discussed. The paper concludes with a case study giving a detailed example of the use of the isomorphic approach in a particular application. (shrink)

Agricultural development strategies to date were chiefly based on Western technological solutions, with mixed success rates. Farming Systems Research (FSR) was advanced as a way to increase the use of indigenous knowledge of farming to make new technologies more adaptable and appropriate to farming conditions. FSR has enabled researchers to focus attention on people and their knowledge by increasing people's participation in problem identification and new technology validation. In practice, though, FSR continues to be a top-down approach: (...) technologies continue to be developed (in most cases) in the exogenous, Western knowledge system. Little has been done to develop indigenous technology generating and diffusing capacities already present in the rural areas. In this paper, a model adapted from Bell (1979) will be advanced that is based on cooperation and collaboration between the exogenous and indigenous knowledge systems leading to a synthesis of the two. The underlying principle of the model is that the ultimate solution for rural development is not the dumping of more scientists upon rural people (of whatever discipline) to make exogenously-generated technologies more adaptable and in-line with people's problems, but to strengthen, empower, and legitimize indigenous capacities for identifying problems and developing solutions for these problems. The “empowerment” of the indigenous knowledge/technology system (however difficult that may be politically) so that it has equal footing with Western knowledge may well be the most important step in a strategy of enabling the people in the developing countries themselves to alleviate their poverty. (shrink)

The Knowledge Based System for Diagnosing Breast Cancer is used to assist medical students to improve their education on diagnosis and counseling the process of analyzing the biopsy image of the microscope, determining the type of tumor and the treatment method for each case and identifying the disease related questions. According to the Ministry of Health in its annual report in Gaza, between 2009 and 2014 there are 7069 cases of breast cancer, and in 2014 there are (...) 1502 cases of breast cancer . We are now in the age of visual information where 65% of the populations are visual learners; the Knowledge Based System is the easiest way to ensure students remember the information in the long term, using visual and textual information. The Knowledge Based System has an easy-to-use interface to help students diagnose the disease and enhance their information about the disease; the system can be used on smart phones. This Knowledge Based System can be divided into three main parts: The first part is specific questions for the patient, to help student to know questions type. The second part is the process of analyzing the biopsy sample image, to see if the biopsy image is intact or infected. The last part is the video shows ways to treat breast cancer in the form of animation. (shrink)

Recently, Intelligent Tutoring Systems (ITS) got much attention from researchers even though ITS educational technology began in the late 1960s and ITS is just embryonic from laboratories into the field. In this paper we outline an intelligent tutoring system for teaching basics of the databases system called (MDB). The MDB was built as education system by using the authoring tool (ITSB). MDB contains learning materials as a group of lessons for beginner level which include relational database (...) class='Hi'>system and lessons in the process to install and set up a database. MDB system has exams for each level of the Lessons. An evaluation was done to see the effectiveness the MDB among learners and instructors. The outcome of the evaluation was promising. (shrink)

Consumer behavior knowledge is essential to designing successful products. However, measuring subjective perceptions affecting this behavior is a complex issue that depends on many factors. Identifying visual cues elicited by the product’s appearance is key in many cases. Marketing research on this topic has produced different approaches to the question. This paper proposes the use of Noise-Based Reverse Correlation techniques in the identification of product form features carrying a particular semantic message. This technique has been successfully utilized in (...) social sciences to obtain prototypical images of faces representing social stereotypes from different judgements. In this work, an exploratory study on subcompact cars is performed by applying Noise-Based Reverse Correlation to identify relevant form features conveying a sports car image. The results provide meaningful information about the car attributes involved in communicating this idea, thus validating the use of the technique in this particular case. More research is needed to generalize and adapt Noise-Based Reverse Correlation procedures to different product scenarios and semantic concepts. (shrink)

In this paper the difficulties arising out of a necessary examination of expert systems as to the ‘correctness’ of functioning are outlined. The argumentation is based on the problematic use of the knowledge term in expert system development and the design perspectives connected with the cognitivistic knowledge concept. It becomes obvious that fundamental problems in system development will involve negative consequences for utilization. The perspective developed from this analysis is assuming that these problems have to (...) be taken into account in development and have to be elucidated for utilization. (shrink)

Product innovation integrates technology, knowledge, management practices, and market innovation, making it essential to gain a competitive advantage. Effective management of dynamic knowledge, which is the foundation of and driving force for product innovation, is a powerful tool that allows a firm to successfully innovate, adapt to environmental changes, and improve its competitiveness. In the “nanosecond age,” unlearning and learning in an organization is crucial to a firm’s ability to promptly update its organizational knowledge and maintain innovation (...) vitality. Based on the dynamic knowledge management perspective, this study integrates and constructs a theoretical model with environmental dynamism as the moderating variable, discusses the impact of organizational unlearning on product innovation performance, and empirically analyzes 208 valid questionnaires in the Yangtze River Delta using the multiple regression method. The results show that organizational unlearning shares a positive relationship with dynamic capabilities and product innovation performance. Dynamic capability is positively related to product innovation performance and has a partial mediating effect on the relationship between organizational unlearning and product innovation performance. Environmental dynamism shares a positive moderating effect on the relationship between organizational unlearning and product innovation performance. This study deepens the existing research on the factors that influence product innovation performance, which may help firms improve their dynamic knowledge management and product innovation performance. (shrink)

Although formal system verification has been around for many years, little attention was given to the case where the specification of the system has to be changed. This may occur due to a failure in capturing the clients’ requirements or due to some change in the domain (think for example of banking systems that have to adapt to different taxes being imposed). We are interested in having methods not only to verify properties, but also to suggest how the (...) system model should be changed so that a property would be satisfied. For this purpose, we will use techniques from the area of Belief Revision, that deals with the problem of changing a knowledge base in view of new information. In the last thirty years, several authors have contributed with change operations and ways of characterizing them. However, most of the work concentrates on knowledge bases represented using classical propositional logic. In the last decade, there have been efforts to apply belief revision theory to description and modal logics. In this work, we analyze what is needed for a theory of belief revision which can be applied to the temporal logic, such as the Computation Tree Logic (CTL). In particular, we illustrate different alternatives for formalizing the concept of revision of CTL. Our interest in this particular logic comes both from practical issues, since it is used for software specification, as from theoretical issues, as it is a non-compact logic and most existing results rely on compactness. We focus here on the revision of CTL models and present a characterization result for the revision of partial models. (shrink)

The human conceptual system comprises simulated information of sensorimotor experience and linguistic distributional information of how words are used in language. Moreover, the linguistic shortcut hypothesis predicts that people will use computationally cheaper linguistic distributional information where it is sufficient to inform a task response. In a pre‐registered category production study, we asked participants to verbally name members of concrete and abstract categories and tested whether performance could be predicted by a novel measure of sensorimotor similarity (based (...) on an 11‐dimensional representation of sensorimotor strength) and linguistic proximity (based on word co‐occurrence derived from a large corpus). As predicted, both measures predicted the order and frequency of category production but, critically, linguistic proximity had an effect above and beyond sensorimotor similarity. A follow‐up study using typicality ratings as an additional predictor found that typicality was often the strongest predictor of category production variables, but it did not subsume sensorimotor and linguistic effects. Finally, we created a novel, fully grounded computational model of conceptual activation during category production, which best approximated typical human performance when conceptual activation was allowed to spread indirectly between concepts, and when candidate category members came from both sensorimotor and linguistic distributional representations. Critically, model performance was indistinguishable from typical human performance. Results support the linguistic shortcut hypothesis in semantic processing and provide strong evidence that both linguistic and grounded representations are inherent to the functioning of the conceptual system. All materials, data, and code are available at https://osf.io/vaq56/. (shrink)

Many system architects select their system methodologies without explicit consideration of the philosophical perspectives that impact their decisions. This paper describes how the concepts of ontology and epistemology apply in systems science. Ontology is how we specify terms of reference for existence, allowing us to understand the theory of existence via an ‘existence framework’. Epistemology, the theory of knowledge, allows us to explore new models and theories of knowledge acquisition so the best system-based methodologies (...) can be deployed to solve complex system problems. After introducing these concepts, the paper presents system science issues and assesses the impact of ontological, axiological and epistemological perspectives on system methodology selection, research, system design and deployment. An ontological viewpoint such as realism, as an objective view is contrasted versus nationalism, a personal perceptional view. An epistemological viewpoint is explored comparing knowledge as a product of sensory perception or rational reflection. The paper’s significant contribution is that it helps system architects understand that their philosophical views of systems science impact their system methodology choices. (shrink)

Medical practice is ideally based on robust, relevant research. However, the lack of disease-modifying treatments for Alzheimer’s disease has motivated “innovative practice” to improve patients’ well-being despite insufficient evidence for the regular use of such interventions in health systems treating millions of patients. Innovative or new non-validated practice poses at least three distinct ethical questions: first, about the responsible application of new non-validated practice to individual patients ; second, about the way in which data from new non-validated practice are (...) communicated via the scientific and lay press ; and third, about the prospect of making new non-validated interventions widely available before more definitive testing. We argue that the authors of metabolic enhancement protocols for Alzheimer’s disease have overstated the evidence in favor of these interventions within the scientific and lay press, failing to communicate weaknesses in their data and uncertainty about their conclusions. Such unmeasured language may create false hope, cause financial harm, undermine informed consent, and frustrate the production of generalizable knowledge necessary to face the societal problems posed by this devastating disease. We therefore offer more stringent guidelines for responsible innovation in the treatment of Alzheimer’s disease. (shrink)

Since the time of Aristotle's students, interpreters have considered Prior Analytics to be a treatise about deductive reasoning, more generally, about methods of determining the validity and invalidity of premise-conclusion arguments. People studied Prior Analytics in order to learn more about deductive reasoning and to improve their own reasoning skills. These interpreters understood Aristotle to be focusing on two epistemic processes: first, the process of establishing knowledge that a conclusion follows necessarily from a set of premises (that is, on (...) the epistemic process of extracting information implicit in explicitly given information) and, second, the process of establishing knowledge that a conclusion does not follow. Despite the overwhelming tendency to interpret the syllogistic as formal epistemology, it was not until the early 1970s that it occurred to anyone to think that Aristotle may have developed a theory of deductive reasoning with a well worked-out system of deductions comparable in rigor and precision with systems such as propositional logic or equational logic familiar from mathematical logic. When modern logicians in the 1920s and 1930s first turned their attention to the problem of understanding Aristotle's contribution to logic in modern terms, they were guided both by the Frege-Russell conception of logic as formal ontology and at the same time by a desire to protect Aristotle from possible charges of psychologism. They thought they saw Aristotle applying the informal axiomatic method to formal ontology, not as making the first steps into formal epistemology. They did not notice Aristotle's description of deductive reasoning. Ironically, the formal axiomatic method (in which one explicitly presents not merely the substantive axioms but also the deductive processes used to derive theorems from the axioms) is incipient in Aristotle's presentation. Partly in opposition to the axiomatic, ontically-oriented approach to Aristotle's logic and partly as a result of attempting to increase the degree of fit between interpretation and text, logicians in the 1970s working independently came to remarkably similar conclusions to the effect that Aristotle indeed had produced the first system of formal deductions. They concluded that Aristotle had analyzed the process of deduction and that his achievement included a semantically complete system of natural deductions including both direct and indirect deductions. Where the interpretations of the 1920s and 1930s attribute to Aristotle a system of propositions organized deductively, the interpretations of the 1970s attribute to Aristotle a system of deductions, or extended deductive discourses, organized epistemically. The logicians of the 1920s and 1930s take Aristotle to be deducing laws of logic from axiomatic origins; the logicians of the 1970s take Aristotle to be describing the process of deduction and in particular to be describing deductions themselves, both those deductions that are proofs based on axiomatic premises and those deductions that, though deductively cogent, do not establish the truth of the conclusion but only that the conclusion is implied by the premise-set. Thus, two very different and opposed interpretations had emerged, interestingly both products of modern logicians equipped with the theoretical apparatus of mathematical logic. The issue at stake between these two interpretations is the historical question of Aristotle's place in the history of logic and of his orientation in philosophy of logic. This paper affirms Aristotle's place as the founder of logic taken as formal epistemology, including the study of deductive reasoning. A by-product of this study of Aristotle's accomplishments in logic is a clarification of a distinction implicit in discourses among logicians--that between logic as formal ontology and logic as formal epistemology. (shrink)

How can we identify and estimate workers’ tacit knowledge? How can we design a personnel mix aimed at improving and speeding up its transfer and development? How is it possible to implement tacit knowledge sustainable projects in remote areas? In order to answer these questions, it is necessary to distinguish between types of tacit knowledge, to establish what they allow for and to consider their sources. It is also essential to find a way of managing the tacit (...) knowledge ‘stock’ and distribution within the workforce. In short, a conceptual framework is needed to manage tacit knowledge. Based on previous works and 2 years of action research, this paper introduces such a framework and describes its partial application to support the pre-operational training and hiring in a large industrial plant in Brazil. Two contributions emerge from the research. First, the concept of ‘levels of similarity’ is introduced as a means to qualify the experience of workers and estimate the associated tacit knowledge. Second, the capability of carrying out three types of judgement properly and speedily is put forward as being a core ability of those who possess what has been called ‘collective tacit knowledge’ (Collins in Organ Stud 28(2):257–262, 2007). In practical terms, the results indicate the opportunity for companies to capitalize on the experience and tacit knowledge of their workers in a systematic way and with due recognition. Ultimately, positive impacts are expected in their absorptive capacity as well as in their management and human resources systems, accident prevention, productivity and the development of sustainable projects in remote areas. (shrink)

Recent reports and papers on chimeric research highlight the promise of chimeric models of human neuropsychiatric disorders to ameliorate human suffering due to autism spectrum disorders, depression, and schizophrenia. These calls, however, typically do not acknowledge, much less address, criticisms of model creation and validation, or concerns about scientific conduct more generally. The ethical justification for the use of nonhuman animals in research depends on the production of benefits to humans based on such research. But the assessment and (...) production of benefits are highly uncertain and rife with both practical and conceptual challenges. This essay provides a general framework for classifying the benefits of biomedical research and then focuses on two factors that directly impact—and threaten—the production of knowledge in research that models neuropsychiatric disorders. (shrink)

Based on applied linguistics, this study looked at the decision support system for emphasizing self-assurance in academic writing. From a generic perspective, academic writing has been considered both a process and a product. It has highlighted the planning composite processes, editing, composing, revising, and assessment, which depend upon the familiarity of someone with confidence in their capability for engagement in these activities. As a product, it has focused on the writing results through the product’s characteristics. These contain specific (...) content areas in acceptable depth and well-structured technical vocabulary. Higher education aims to support students in optimizing their potential for achieving satisfactory outcomes. For example, the assessment of grades involves academic writing, contributing to the degree course classification. Students have differences in many respects, such as expectations, background knowledge, and study and learning approaches. There were varying students’ beliefs about what academic writing is for evaluation. Modern-day motivations and theories highlight the significance of students’ confidence in their studies. The role of high confidence can support students to apply more effort toward setting challenging goals. Students may find it more difficult to succeed in higher education if they lack confidence in their academic writing abilities. A DSS has many applications in diverse areas and can play a significant role in the ranking and prioritization process. The current study has considered the DSS for prioritizing self-assurance in academic writing based on applied linguistics. Various criteria were considered for the evaluation of the research. The Super Decision software was used for the experimental process of the proposed research. The results of the study show the effectiveness of the proposed research. (shrink)