This article aims to analyze the views of two pioneering Ḥanafī scholars, Abū Manṣūr al- Māturīdī and Abū Zayd al-Dabūsī, on the meaning of death and life in terms of their general doctrine of religion. In the first part, the general framework of Māturīdī and Dabūsī’s evidentialist conception of religion are drawn. In the second part, Māturīdī's views on the meaning of death and life and are explored. In the third part, the views of Abū Zayd al-Dabūsī on the meaning (...) of death and life, who establishes a striking connection between the divine order and existence, divine prohibition and non-existence, are examined, and a general evaluation is offered in the last section. Al-Māturīdī proposed a very original and systematic example of doing philosophy of religion, which still promising for the modern problems of the field, by opening the phenomenon of religion itself to discussion, and analyzing the nature and elements of religion. Māturīdī aims to place the problems on a universal and theoretical basis and to present a holistic, metaphysical understanding while discussing specific and particular issues in religion. Just as there are main notes in classical Western music that repeat throughout the symphony in baroque style, there are universal principles in al-Māturīdī’s metaphysics that cut all particular debates vertically. The basic principle of the al-Māturīdī’s metaphysics is based on this idea: God is a wise being, he does not do anything wise. Accordingly, it is absurd to create something to destroy; God did not create man to perish. The love of life and the fear of death are the deepest existential problems facing man as a finite being that goes towards death. Religion can be regarded as a powerful alternative to other worldviews to the extent that it provides a reasonable explanation for man’s deep concern about finitude. For al-Māturīdī, neither pessimistic understandings that emphasize only the fear of death nor hedonistic understandings that ignore death offer a reasonable solution. God created death as something that people fear the most and avoid, and life as something they love and desire. The testing of man is about being between the fear of death and the desire to live in the world. According to al-Māturīdī, this dilemma that man is facing also shows him the way out. If people do good and useful deeds because of their love for life, and avoid nonsense and ugly deeds because of their afraid of death, they can make their life eternal with their own efforts and escape from eternal/permanent death. The other Hanafī thinker, a philosopher of law Abū Zayd al-Dabūsī’s views on the meaning of death and life are parallel to Māturīdī's. According to al-Dabūsī, to test man, what God has placed in human nature is not only the soul and reason but also the spirit (al-nafs) and whim (al-hawa). While the spirit and whim invites man to the temporary by ignorance, it calls the soul and reason to the permanent by knowledge. The test for human beings is to choose between the temporary and the eternal life. For al-Dabūsī, man’s saving himself from falling into nothingness and gaining the eternal life depends on his use of reason. In other words, the reason binds human beings to life, and the whim leads them to nothingness. Drawing a parallel between reasoning and existence, ignorance and absence, Dabūsī defines the terms divine command and divine prohibition in a very original way. For him, the divine command is the things that must exist, and the divine prohibition is the things that must not exist. If the man helps exist the things that God wills to exist, he can make his own existence eternal. If the man helps exist the things that God does not will to exist, he puts himself into nothingness. Lastly, both for al-Māturīdī and al-Dabūsī, life is a divine grace bestowed on human being to gain eternal life through the good deeds he does at any moment. In short, reason is necessary in religion because its use is a preference of existence to non-existence. This metaphysical system, which sees goodness as a bridge from this finite world to heaven and eternity and makes a connection between faith and deeds on the ontological and ethical level is the essence of the worldview of the Hanafī-Māturīdī tradition. (shrink)

The commentary raises political questions about the ways in which data has been constituted as an object vested with certain powers, influence, and rationalities. We place the emergence and transformation of professional practices such as ‘data science’, ‘data journalism’, ‘data brokerage’, ‘data mining’, ‘data storage’, and ‘data analysis’ as part of the reconfiguration of a series of fields of power and knowledge in the public and private accumulation of data. Data politics asks questions about the ways in which data (...) has become such an object of power and explores how to critically intervene in its deployment as an object of knowledge. It is concerned with the conditions of possibility of data that involve things, language, and people that together create new worlds. We define ‘data politics’ as both the articulation of political questions about these worlds and the ways in which they provoke subjects to govern themselves and others by making rights claims. We contend that without understanding these conditions of possibility – of worlds, subjects and rights – it would be difficult to intervene in or shape data politics if by that it is meant the transformation of data subjects into data citizens. (shrink)

Juris-Data is one of the largest case-study base in France. The case studies are indexed by legal classification elaborated by the Juris-Data Group. Knowledge engineering was used to design an intelligent interface for information retrieval based on this classification. The aim of the system is to help users find the case-study which is the most relevant to their own.The approach is potentially very useful, but for standardising it for other legal document bases it is necessary to extract a (...) legal classification of the primary documents. Thus, a methodology for the construction of these classifications was designed together with a framework for index construction. The project led to the implementation of a Legal Case Studies Engineering Framework based on the accumulated experimentation and the methodologies designed. It consists of a set of computerised tools which support the life-cycle of the legal document from their processing by legal experts to their consultation by clients. (shrink)

In this article we describe two core ontologies of law that specify knowledge that is common to all domains of law. The first one, FOLaw describes and explains dependencies between types of knowledge in legal reasoning; the second one, LRI-Core ontology, captures the main concepts in legal information processing. Although FOLaw has shown to be of high practical value in various applied European ICT projects, its reuse is rather limited as it is rather concerned with the structure of (...) legal reasoning than with legal knowledge itself: as many other “legal core ontologies”, FOLaw is therefore rather an epistemological framework than an ontology. Therefore, we also developed LRI-Core. As we argue here that legal knowledge is based to a large extend on common-sense knowledge, LRI-Core is particularly inspired by research on abstract common-sense concepts. The main categories of LRI-Core are: physical, mental and abstract concepts. Roles cover in particular social worlds. Another special category are occurrences; terms that denote events and situations. We illustrate the use of LRI-Core with an ontology for Dutch criminal law, developed in the e-Court European project. (shrink)

The Legal Knowledge Engineering is a new topic of investigationof Artificial Intelligence. This paper discusses some relevant problems relatedto this new area in a summarized way. Within the Normative Law Theory,one question that arises naturally is that of contradiction, like for example:articles conflicting with other articles inside the same code, codes conflictingwith codes, codes conflicting with jurisprudence, and in general, treatmentswith conflicting propositions in Normative Law Theory. This paper suggeststo treat directly inconsistencies in the Legal Knowledge (...) class='Hi'>Engineering; thisengineering has as underlying logic a paraconsistent annotated deontic logic.There are three main approximations in Legal Knowledge Engineering basedon: cases, rules and logic. In this paper, we consider the approximationbased on logic. It is considered a paraconsistent annotated deontic logic.Based on this logic, it is established a new proposal that is called Paraconsistent Legal Knowledge Engineering. For this proposal, it it is suggested ameta-interpreter to support the deontic operators as well as inconsistency —entitled on this paper Paralog D that can be used as a base to handle withthe issues discussed. (shrink)

In this paper we review some problems with traditional approaches for acquiring and representing knowledge in the context of developing user interfaces. Methodological implications for knowledge engineering and for human-computer interaction are studied. It turns out that in order to achieve the goal of developing human-oriented (in contrast to technology-oriented) human-computer interfaces developers have to develop sound knowledge of the structure and the representational dynamics of the cognitive system which is interacting with the computer.We show that (...) in a first step it is necessary to study and investigate the different levels and forms of representation that are involved in the interaction processes between computers and human cognitive systems. Only if designers have achieved some understanding about these representational mechanisms, user interfaces enabling individual experiences and skill development can be designed. In this paper we review mechanisms and processes for knowledge representation on a conceptual, epistemological, and methodologieal level, and sketch some ways out of the identified dilemmas for cognitive modeling in the domain of human-computer interaction. (shrink)

To maintain the competitive edge and evaluating the needs of the quality app is in the mobile application market. The user’s feedback on these applications plays an essential role in the mobile application development industry. The rapid growth of web technology gave people an opportunity to interact and express their review, rate and share their feedback about applications. In this paper we have scrapped 506259 of user reviews and applications rate from Google Play Store from 14 different categories. The statistical (...) information was measured in the results using different of common machine learning algorithms such as the Logistic Regression, Random Forest Classifier, and Multinomial Naïve Bayes. Different parameters including the accuracy, precision, recall, and F1 score were used to evaluate Bigram, Trigram, and N-gram, and the statistical result of these algorithms was compared. The analysis of each algorithm, one by one, is performed, and the result has been evaluated. It is concluded that logistic regression is the best algorithm for review analysis of the Google Play Store applications. The results have been checked scientifically, and it is found that the accuracy of the logistic regression algorithm for analyzing different reviews based on three classes, i.e., positive, negative, and neutral. (shrink)

The engineering knowledge research program is part of the larger effort to articulate a philosophy of engineering and an engineering worldview. Engineering knowledge requires a more comprehensive conceptual framework than scientific knowledge. Engineering is not ‘merely’ applied science. Kuhn and Popper established the limits of scientific knowledge. In parallel, the embrace of complementarity and uncertainty in the new physics undermined the scientific concept of observer-independent knowledge. The paradigm shift from the (...) scientific framework to the broader participant engineering framework entails a problem shift. The detached scientific spectator seeks the ‘facts’ of ‘objective’ reality – out there. The participant, embodied in reality, seeks ‘methods’, about how to work in the world. The engineering knowledge research program is recursively enabling. Advances in engineering knowledge are involved in the unfolding of the nature of reality. Newly understood, quantum uncertainty entails that the participant is a natural inquirer. ‘Practical reason’ is concerned with ‘how we should live’– the defining question of morality. The engineering knowledge research program is selective seeking ‘important truths’, ‘important knowledge’, ‘important methods’ that manifest value, and serve the engineering agenda of ‘the construction of the good.’ The importance of engineering knowledge research program is clear in the new STEM curriculum where educators have been challenged to rethink the relation between science and engineering. A 2015 higher education initiative to integrate engineering colleges into liberal arts and sciences colleges has stalled due to the confusion and conflict between the engineering and scientific representations of knowledge. (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)

In the context of technology development and systems engineering, knowledge is typically treated as a complex information structure. In this view, knowledge can be stored in highly sophisticated data systems and processed by explicitly intelligent, software-based technologies. This paper argues that the current emphasis upon knowledge as information (or even data) is based upon a form of rationalism which is inappropriate for any comprehensive treatment of knowledge in the context of human-centred systems thinking. A human-centred (...) perspective requires us to treat knowledge in human terms. The paper sets out the particular importance of tacit knowledge in this regard. It sets out two case studies which reveal the critical importance of a careful treatment of tacit knowledge for success in two complex, technology-driven projects. (shrink)

Testimonial knowledge sometimes depends on internalist epistemic conditions, those that thinkers are able to reflect upon. In the testimony literature the only internalist conditions that are considered are those concerning a hearer's knowledge of a speaker's reliability. I argue, however, that the relevant sense of internal"" should not be seen as referring to just the hearer's point of view, but rather to the points of view of both the hearer and the speaker. There are certain cases of testimonial (...) knowledge transmission that depend on the speaker's knowledge of his audience. These include cases of ""engineered knowledge"" in which a speaker deviously manipulates a hearer's beliefs. Such knowledge is therefore internalist because it depends on factors that are internal to the point of view of the speaker, and not merely on externalist factors such as the reliability of the speakers' and hearers' beliefs.". (shrink)

In this paper, I analyze how recent calls to internationalize publication behavior affect research practices at an automotive engineering department in Germany. Automotive engineering is a field with traditionally rather scarce publication activity and strong connections to industry. Substantial authority to define suitable research problems and ways of organizing knowledge production on a daily basis was therefore reserved for local academic elites as well as corporate partners. However, as engineers are increasingly expected to prove their performance through (...) publishing in international peer-reviewed journals, the judgment as to what should be considered “interesting” or “robust” research is partly relegated to a gradually globalizing community of academic peers. This generates a variety of tensions with established ways of coordinating epistemic work at the department studied here. For example, the thematic interests of journals tend to exert a disruptive centrifugal pull in the context of an otherwise highly modular research culture, and possibilities to publish in international venues are unequally distributed across individual research projects. But while department members agree that there is a lack of fit between current practices and new expectations towards their publishing behavior, their opinions about the conclusions that should be drawn differ significantly. Some researchers argue that profound organizational changes are necessary to foster the academic rigor of German engineering research. Others believe that evaluation criteria should simply be adapted. This situation is arguably characteristic for research areas with a traditionally strong orientation to local stakeholders, and it suggests a need for more deliberative, participatory approaches to research evaluation in such fields. (shrink)

Kevin T. Fitzgerald, S.J.; Knowledge Without Wisdom: Human Genetic Engineering Without Religious Insight, Christian bioethics: Non-Ecumenical Studies in Medical.

The inclusion of engineering standards in US science education standards is potentially important because of how limited engineering education for K-12 learners is, despite the ubiquity of engineering in students’ lives. However, the majority of learners experience science education throughout their compulsory schooling. If improved engineering literacy is to be achieved, then its inclusion in science curricula is perhaps the most efficient means. One significant challenge that arises, however, is in the framing of engineering relative (...) to science by both teachers and curriculum. Science and engineering are both distinct and interdependent. The nature of the contributions of science and engineering to one another has been an area of some examination in philosophy of technology and engineering, but little framing of this relationship has been conducted with K-12 science and engineering education contexts in mind. Nature of science is a critical layer of scientific understanding that has been used to explicitly support literacy in K-16 science classrooms for decades. However, engineering cannot be authentically and appropriately supported by NOS framing. There is an immediate need for discourse on the nature of engineering knowledge but not in isolation of NOS. Given the increasing inclusion of engineering in science classrooms, relationships between NOS and NOEK are in need of explication and argument. Our purpose is to promote a discussion about NOS, engineering, and the relationship between them without misrepresenting engineering as a subdomain of science or as an oversimplification of itself. (shrink)

Babylon Knowledge Explorer (BKE) is an integrated suite of tools and information sources developed in GlaxoSmithKline's Analysis, Applications, and Research Technologies Department to support the prototyping and implementation of ontology-driven information systems and ontology-enhanced knowledge applications. In this paper we describe the current state of BKE development and focus on some of its distinctive or novel approaches, highlighting -/- * How BKE makes use of multiple large pre-existing ontologies in support of text and data mining. * The methodology (...) employed for importing an ontology and making it immediately accessible to BKE's tools, interfaces, and API. * A formal description of BKE's ontology-based fact model and how this is employed in implementing information retrieval and data mining capabilities. * A sample application built on BKE that illustrates an ontologyenhanced machine learning tool. (shrink)

There is a clean image of knowledge transmission between thinkers that involves sincere and reliable speakers, and hearers who carefully assess the epistemic credentials of the testimony that they hear. There is, however, a murkier side to testimonial exchange where deception and lies hold sway. Such mendacity leads to sceptical worries and to discussion of epistemic vice. Here, though, I explore cases where deceit and lies are involved in knowledge transmission. This may sound surprising or even incoherent since (...) lying usually involves saying something that is false. Even if a liar unwittingly tells the truth, those believing their testimony would not acquire knowledge. In §1, however, I suggest a range of examples where lies can be used to transmit knowledge. The kinds of cases upon which I focus are those involving ‘engineered knowledge’, where a speaker skilfully manipulates another into having a true belief. Such cases are epistemologically significant for several reasons. First, they are counter-examples to a range of widely held assumptions about knowledge. We have, for example, cases where sincerity is not necessary for knowledge transmission, where there is knowledge from falsehood, and, as we shall discuss in §2, knowledge that is fragile or not safe. Second, in §3 and §4 I suggest that engineered knowledge is best captured by a virtue theoretic approach to testimonial transmission. (shrink)

The author argues that the radical technological transformations contribute to the raise of new epistemological questions. The XXI century technologies could be described as a large-scale socio-technical system. The author claims that the engineering knowledge in the technogenic civilization combines science and technology, technology and industry, techno-science and art, economics, society and culture. At the same time engineers and technologists while doing their experimental research face with risks and uncertainty. The author argues that the rise of new global (...) risks as well as the changes in the societal system make especially relevant the problems of resource saving, efficiency, ecological and technological safety. The author insists that the humanities could contribute to the settlement of these problems. She explains why the transdisciplinary approaches which aim at the cooperation of scientists and philosophers should be considered as the most prospective form of scientific research. This mode of research make it possible to combine fundamental issues with practical actions. (shrink)

With closer interactions between academic and commercial entities the role of the university is expanding to also include knowledge transferIn the biomedical and health sciences , close interactions between academic and commercial entities are now common place. Funds from pharmaceutical and biotechnology companies have helped finance major bioscience projects and research centres, graduate students are receiving training in commercial laboratories, and university scientists are translating their ‘intellectual property’ by patenting their research and launching start-up companies. And this is happening (...) with the blessing of universities, who see the commercialisation of research – and the royalties brought in from ‘technology transfer’ – as part of their new mission.The result is that no longer are universities simply places of higher learning, where academics are dedicated to teaching and research, traditionally the ‘first’ and ‘second’ missions of universities; universities now have a ‘third’ mission, to engage in knowledge transfer. Governments and research-intensive industries , are keen to translate university research into marketable products. Facilitated by policies and laws to protect intellectual property rights and aid commercialisation, universities are transforming into ‘entrepreneurial’ institutions.1 University administrators seek to generate new funding streams, while governments see universities as drivers of technology development and economic growth. In such a climate, it should not be surprising that researchers in many disciplines are facing pressure to collaborate …. (shrink)

It is now fashionable to say that science and technology are social constructions. This is true, or rather, a truism. Man is a social animal. Man is a linguistic animal, and language is social. Hence all products of human activities and everything that involves language are social constructions. But an assertion that covers everything becomes empty. The constructionist mantra that science or technology is “not a simple input from nature” attacks a straw man, for no one denies the necessity of (...) enormous human efforts in research, development, and design. To say that these are social activities should not imply that they are indistinguishable from other social activities such as politicking or profiteering. An investigation into their peculiarities will bring to relief their intellectual and technical characteristics. The argument that science and technology are social constructions because they involve many assumptions is again a truism. Whenever we think, whenever we find things intelligible, we invariably have used some concepts and made some assumptions. Philosophers such as Kant have painstakingly analyzed concepts without which intelligibility is impossible. The important questions are not whether scientists and engineers make assumptions but what kind of assumptions they make; not whether they make judgments, but what kind of reasons they offer to support their judgments. Are the assumptions and justifications all social? Or are they mainly technical? Admittedly, the boundaries between the two are not always sharp, but is it impossible to make any differentiation at all? (shrink)

In 2023, online search engine provider Microsoft integrated a language model that provides direct answers to search queries into its search engine Bing. Shortly afterwards, Google also introduced a similar feature to its search engine with the launch of Google Gemini. This introduction of direct answers to search queries signals an important and significant change in online search. This article explores the implications of this new search paradigm. Drawing on Donna Haraway’s theory of _Situated Knowledges_ and Rainer Mühlhoff’s concept of (...) _Sealed Surfaces_, I introduce the term _Sealed Knowledges_ to draw attention to the increasingly difficult access to the plurality of potential answers to search queries through the output of a singular, authoritative, and plausible text paragraph. I argue that the integration of language models for the provision of direct answers into search engines is based on a de-situated and disembodied understanding of knowledge and affects the subjectivities of its users. At the same time, the _sealing of knowledges_ can lead to an increasing spread of misinformation and may make marginalized knowledge increasingly difficult to find. The paper concludes with an outlook on how to resist the increasing _sealing of knowledges_ in online search. (shrink)

Dienes & Perner's theoretical framework should be applicable to two related areas: technological innovation and the psychology of scientific reasoning. For the former, this commentary focuses on the example of nuclear weapon design, and on the decision to launch the space shuttle Challenger. For the latter, this commentary focuses on Klayman and Ha's positive test heuristic and the invention of the telephone.

This paper begins by raising a puzzle about what function our use of the word ‘rational’ could serve. To solve the puzzle, I introduce a view I call Epistemic Communism: we use epistemic evaluations to promote coordination among our basic belief-forming rules, and the function of this is to make the acquisition of knowledge by testimony more efficient.

A test was administered to 102 engineering students to ascertain how engineering education influences their environmental knowledge and attitudes. Answers to definitional and factual questions in a forced-answer section demonstrated that students were improving their technical knowledge, but responses to more subtle questions were mixed. Answers to attitudinal questions exhibited a trend towards increased environmental awareness. For open-ended questions, posttest results showed an increase in knowledge of engineering work. Over 80% of the students considered (...) themselves to have a caring attitude toward the environment, with the “three R’s” and green transportation choices most commonly cited. Engagement in research, education, or advocacy doubled from pretest to posttest. Air pollution and solid waste disposal most frequently influenced students’ attitudes toward the environment. Outdoor experiences were the most frequently mentioned source of information; university courses rose from 4% to 15% on the posttest. Only 40% of the students could name an environmental role model. (shrink)

Taking a Foucauldian framework as its point of departure, this paper discusses how transnational discourses of knowledge and learning operate in the profession of computer engineering and form a certain logic through which modes of being an engineer are regulated. Both the knowledge domain of computer engineering and its related labour market is heavily internationalised and characterised by a general focus on universalism and standardisation. Moreover, rapid shifts in technologies and institutional arrangements contribute to an embracement (...) of more wide-ranging discourses related to lifelong learning and the enterprising self. Thus, dominant discourses of knowledge and learning within this profession reflect processes of globalisation and take a transnational character. The paper discusses how the discourses in play constitute mechanisms of governmentality that present certain expectations to professionals and shape their energies, efforts and desires in certain directions. In order to be influential, however, the discourses depend on individuals who take up the subject positions offered and enact them in locally relevant and partially creative ways. Thus, careful analyses of the discourses in specific knowledge communities, as well as of their interrelated subject positions, may enhance our understanding of the more epistemic dimensions of globalisation and how these come to influence the imaginations of individuals as ‘citizens of the world.’. (shrink)

Our concern is in explaining how and why models give us useful knowledge. We argue that if we are to understand how models function in the actual scientific practice the representational approach to models proves either misleading or too minimal. We propose turning from the representational approach to the artefactual, which implies also a new unit of analysis: the activity of modelling. Modelling, we suggest, could be approached as a specific practice in which concrete artefacts, i.e., models, are constructed (...) with the help of specific representational means and used in various ways, for example, for the purposes of scientific reasoning, theory construction and design of experiments and other artefacts. Furthermore, in this activity of modelling the model construction is intertwined with the construction of new phenomena, theoretical principles and new scientific concepts. We will illustrate these claims by studying the construction of the ideal heat engine by Sadi Carnot. (shrink)

PDF version General principles and globally valid knowledge are essential to the progress of science and technology. However, globalization should not obscure the local origins of empirical knowledge and the necessity of particular factual information in practical applications of science.

Summer School in Cognitive Science: Minds and Societies. Communication par affiche dans un congrès, Montréal, 26 juin - 06 juillet 2008.

Scientific knowledge and mathematical analysis enter into engineering in an indispensable way, and their role will continually increase. But engineering contains elements of experience and judgment, of tacit knowledge, and regard for social considerations and the most effective way of using human labour. If we accept this element of ‘art’ in engineering, we should design our systems, not to reject human skill, but rather to cooperate with it and make it more protective.

Despite the importance of engineering and technology in economic, social, and other aspects of our lives what it means to develop as an engineer, and how this is to occur, is not widely discussed. Becoming a Human Engineer explores the moral and ethical challenges of educating engineers through the philosophical lens of personalism, a branch of philosophy that puts the person first, seeing human growth and development as central to good. Building from the philosophy of the 20th century philosopher (...) John Macmurray, this book explores how ethics and education intersect through a continuous cycle of action and reflection. By pulling together disparate and wide-ranging topics across engineering education, several promising areas of future work are identified. Engineering methods and ways of reflection are deeply embedded in engineering education to the extent that they may interfere with becoming a person. A focus on specific knowledges must complement rather than distract from developing the habits of mind necessary for engineers to adapt to a changing world. Providing meaningful experiences and explicitly focusing on developing multiple ways to reflect on these experiences are shown to be critical for the holistic development of engineers as persons. (shrink)

Ethics and Responsibilities of Engineers is designed to help students and new practitioners understand from where ethics originate and how they have developed in the profession. It is written to help engineers understand how the coursework they take in school aligns with the public good. What separates this book from others is the focus on the historical development of ethics for the profession and the role played by our educational system, accreditation commissions, and licensing boards. The knowledge and regulatory (...) basis for the engineering occupation permits engineers to comprehend and address (and thereby often avoid) the challenges that might compromise the image of engineers in society. The trust that the public has in their judgment to protect and serve society is what allows engineers to be held in high esteem. (shrink)

This paper describes the processes of cognitive modeling and representation of human expertise for developing an ontology and knowledge base of an expert system. An ontology is an organization and classification of knowledge. Ontological engineering in artificial intelligence (AI) has the practical goal of constructing frameworks for knowledge that allow computational systems to tackle knowledge-intensive problems and supports knowledge sharing and reuse. Ontological engineering is also a process that facilitates construction of the (...) class='Hi'>knowledge base of an intelligent system, which can be defined as a computer program that can duplicate problem-solving capabilities of human experts in specific areas. This paper presents the processes of knowledge acquisition, analysis, and representation, which laid the basis for ontology construction. In this case, the processes are applied in ontological engineering for construction of an expert system in the domain of monitoring of a petroleum production and separation facility. The acquired knowledge was also formally represented in two knowledge acquisition tools. (shrink)

In recent years, ethical questions related to the development of artificial intelligence are being increasingly discussed. However, there has not been enough corresponding increase in the research and development associated with AI technology that incorporates with ethical discussion. We therefore implemented an organic and dynamic tool for use with knowledge base of AI ethics for engineers to promote engineers’ practice of ethical AI design to realize further social values. Here, “organic” means that the tool deals with complex relationships among (...) different AI ethics. “Dynamic” means that the tool dynamically adopts new issues and helps engineers think in their own contexts. Data in the knowledge base of the tool is standardized based on the ethical design theory that consists of an extension of the hierarchical representation of artifacts to understand ethical considerations from the perspective of engineering, and a description method to express the design ideas. In addition, we apply the dynamic knowledge management model called knowledge liquidization and crystallization. To discuss the effects, we introduce three cases: a case for the clarification of differences in the structures among AI ethics and design ideas, a case for the presentation of semantic distance among them, and a case for the recommendation of the scenario paths that allow engineers to seamlessly use AI ethics in their own contexts. We discuss the effectiveness of the tool. We also show the probability that engineers can reconstruct AI ethics as a more practical one with professional ethicists. (shrink)

The World Wide Web has had a notable impact on a variety of epistemically-relevant activities, many of which lie at the heart of the discipline of knowledge engineering. Systems like Wikipedia, for example, have altered our views regarding the acquisition of knowledge, while citizen science systems such as Galaxy Zoo have arguably transformed our approach to knowledge discovery. Other Web-based systems have highlighted the ways in which the human social environment can be used to support the (...) development of intelligent systems, either by contributing to the provision of epistemic resources or by helping to shape the profile of machine learning. In the present paper, such systems are referred to as ‘knowledge machines’. In addition to providing an overview of the knowledge machine concept, the present paper reviews a number of issues that are associated with the scientific and philosophical study of knowledge machines. These include the potential impact of knowledge machines on the theory and practice of knowledge engineering, the role of social participation in the realization of intelligent systems, and the role of standardized, semantically-enriched data formats in supporting the ad hoc assembly of special-purpose knowledge systems and knowledge processing pipelines. (shrink)

Purpose: In the educational field a lack of focus on the process of arriving at a level of profound understanding of a phenomenon can be observed. While classical approaches in education focus on "downloading," repeating, or sometimes optimizing relatively stable chunks of knowledge (both facts and procedural knowledge), this paper proposes to shift the center of attention towards a more dynamic and constructivist perspective: learning as a process of individual and collective knowledge creation and knowledge construction. (...) The goal of this process is to profoundly understand a phenomenon in its multi-dimensionality and complexity and to reflect on the processes that have lead to this understanding. The issue we want to tackle in this paper is how this profound understanding can be brought about in a technology-enhanced learning environment. Method: Part 1 of this paper explores strategies of technology-enhanced knowledge sharing/creation in the field of higher education. Part 2 presents a successful blended learning scenario that illustrates the implementation of these learning strategies in a concrete course design. In this case study students are involved in active theory construction processes by conducting virtual experiments with a virtual organism. Part 3 elaborates on the epistemological implications of this case study. Findings: A constructivist framework for modes of knowing and modes of coming to know is developed. It is shown that -- in order to reach a profound understanding of a phenomenon -- it is essential to take into account the multi-facetted character of knowledge and to use the strategy of double-loop learning. Conclusion: This leads to an understanding of learning/teaching as a process of socio-epistemological engineering. Furthermore, the role of the teacher changes in such a constructivist setting of learning/teaching: Their primary task is to provide a "pedagogically (and technologically) augmented environment." They are responsible for creating an atmosphere of collective knowledge construction and reflection. Beyond the role of a coach and moderator the teacher has to act as a facilitator or "enabler" for the (individual and collective) processes of double-loop learning. (shrink)

Conceptual engineering means to provide a method to assess and improve our concepts working as cognitive devices. But conceptual engineering still lacks an account of what concepts are (as cognitive devices) and of what engineering is (in the case of cognition). And without such prior understanding of its subject matter, or so it is claimed here, conceptual engineering is bound to remain useless, merely operating as a piecemeal approach, with no overall grip on its target domain. (...) The purpose of this programmatic paper is to overcome this knowledge gap by providing some guidelines for developing the theories of concepts and of cognition that will ground the systematic unified framework needed to effectively implement conceptual engineering as a widely applicable method for the cognitive optimization of our conceptual devices. (shrink)

Some of the fundamental activities of the software development process are related to the discipline of Requirements Engineering. Their objectives are to discover, analyze, document, and verify the system’s requirements. The requirements are the conditions or capabilities that software needs to have or fulfill to meet its users’ needs, and problems in its identification can mean the failure of a software project. This study is part of the research that is being developed to propose a model based on Know­ledge (...) Organization Systems to be used in the Requirements engineering process. This article aims to present the results of an analysis on a set of Know­ledge Organization Systems to identify whether they are likely to be applied in the Requirements engineering process and identify at which stage of this process each one of them can be implemented. The Know­ledge Organization Systems analyzed were the authority files, gazetteers, glossaries, subject headings, classification systems, thesauri, semantic networks, and ontologies. Based on the results obtained, it was possible to conclude that the Know­ledge Organization Systems analyzed can be used in the Requirements engineering process and, consequently, contribute to increasing the software requirements’ quality. (shrink)

Conceptual engineering is the method for assessing and improving our concepts. Some have recently claimed that the implementation of such method in the form of ameliorative projects is truth-driven and should thus be epistemically constrained, ultimately at least (Simion 2018; cf. Podosky 2018). This paper challenges that claim on the assumption of a social constructionist analysis of ideologies, and provides an alternative, pragmatic and cognitive framework for determining the legitimacy of ameliorative conceptual projects overall. The upshot is that one (...) should not ameliorate for the sake of truth or knowledge, in the case of ideologies—at least, not primarily. (shrink)

This paper describes the processes of cognitive modeling and representation of human expertise for developing an ontology and knowledge base of an expert system. An ontology is an organization and classification of knowledge. Ontological engineering in artificial intelligence has the practical goal of constructing frameworks for knowledge that allow computational systems to tackle knowledge-intensive problems and supports knowledge sharing and reuse. Ontological engineering is also a process that facilitates construction of the knowledge (...) base of an intelligent system, which can be defined as a computer program that can duplicate problem-solving capabilities of human experts in specific areas. This paper presents the processes of knowledge acquisition, analysis, and representation, which laid the basis for ontology construction. In this case, the processes are applied in ontological engineering for construction of an expert system in the domain of monitoring of a petroleum production and separation facility. The acquired knowledge was also formally represented in two knowledge acquisition tools. (shrink)

In this paper, we tell the story of efforts currently underway, on diverse fronts, to build digital knowledge repositories to support research in the life sciences. If successful, knowledge bases will be part of a new knowledge infrastructure—capable of facilitating ever-more comprehensive, computational models of biological systems. Such an infrastructure would, however, represent a sea-change in the technological management and manipulation of complex data, inducing a generational shift in how questions are asked and answered and results published (...) and circulated. Integrating such knowledge bases into the daily workflow of the lab thus destabilizes a number of well-established habits which biologists rely on to ensure the quality of the knowledge they produce, evaluate, communicate and exploit. As the story we tell here shows, such destabilization introduces a situation of unfamiliarity, one that carries with it epistemic risks. It should elicit—to use Niklas Luhmann’s terms—the question of trust: a shared recognition that the reliability of research practices is being risked, but that such a risk is worth taking in view of what may be gained. And yet, the problem of trust is being unexpectedly silenced. How that silencing has come about, why it matters, and what might yet be done forms the heart of this paper. (shrink)