This paper calls into question the growing tendency of quasi-absolutism within postmodern mainstream media discourse under the guise of objectivity. The tendency’s major aim is to ascribe more believability to its discourse by re-presenting that which it covers as the vehicle of objective truth to the mainstream audience. Two interweaving discourses have marked such objectivity: one in the form of indoctrinating and omnipresent narratives, which via effective propaganda become tantamount to ritualism, the other epitomised in the nostalgia for rationalisation, already (...) inherent in western positivist thought through the exponential increase of quasi-empiricism. Accordingly, what the media cover exists. What they do not remains in the order of myth. The article starts by rethinking objectivity within modern western academia, a discourse whose objectivity is already flawed from within. Then, with respect to human experience and media coverage, the paper concludes by raising the question of postmodern mainstream media’s substitution of religious quasi-absolutist narratives, be they secular or non-secular. Subjectivity thus emerges as the ultimate ground upon which our being may be legitimate. (shrink)

No one is born speaking or writing a language. We all begin as language learners, and in that sense, there are no native languages. There are only foreign languages. As language educators and as scholars of literatures produced by Black, migrant, indigenous, and multilingual artists, we know that even the universalism of “foreign languages” and “second languages”—which holds the Other at tongue’s length, so to speak—needs to be replaced by the universalism of “additional languages.” Every language is an additional language, (...) not a primary, national, or natural language. But if every language is an additional language relative to others that we use, or others that our neighbors use, it... (shrink)

The detection of a human’s intended behavior is one of the most important skills that a social robot should have in order to become acceptable as a part of human society, because humans are used to understand the actions of other humans in a goal-directed manner and they will expect the social robot to behave similarly. A breakthrough in this area can advance several research branches related to social intelligence such as learning by imitation and mutual adaptation. To achieve this (...) goal the robot needs to integrate all possible evidence of intention and neglect the unintended behavior, and a complete solution should use low-level signal processing and high-level reasoning. This work explores the low-level signal processing part of the solution by proposing an interactive adaptive perception scheme that uses four important features of human behavior to amplify the signals originating from intended behavior with respect to signals originating from unintended behavior and other noise sources such as instrumental noise. This work follows the vision that intelligence is not only a function of a centralized sophisticated artificial brain, but can be presented in different forms in the entire robot including its perception and motion systems (the mind is not contained in the brain, but distributed in every cell in the body). A simple example of using the proposed scheme was implemented and the results of two experiments with it are also presented. (shrink)

Autonomous development of gaze behavior for natural human-robot interaction.

The success of social robots in achieving natural coexistence with humans depends on both their level of autonomy and their interactive abilities. Although a lot of robotic architectures have been suggested and many researchers have focused on human–robot interaction, a robotic architecture that can effectively combine interactivity and autonomy is still unavailable. This paper contributes to the research efforts toward this architecture in the following ways. First a theoretical analysis is provided that leads to the notion of co-evolution between the (...) agent and its environment and with other agents as the condition needed to combine both autonomy and interactivity. The analysis also shows that the basic competencies needed to achieve the required level of autonomy and the envisioned level of interactivity are similar but not the same. Secondly nine specific requirements are then formalized that should be achieved by the architecture. Thirdly a robotic architecture that tries to achieve those requirements by utilizing two main theoretical hypothesis and several insights from social science, developmental psychology and neuroscience is detailed. Lastly two experiments with a humanoid robot and a simulated agent are reported to show the potential of the proposed architecture. (shrink)

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Striedter's book offers precious insight into the comparative neuroanatomy of vertebrate brains, but it stops short of addressing what their evolution is all about: how effectively neural networks process information important for survival. To understand the principles of brain evolution, neuroanatomy needs to be combined not only with genetics, neurophysiology, and ethology, but also with quantitative network analyses.

Normal meiosis consists of a single round of DNA replication followed by two nuclear divisions. In the 1st division the chromosomes segregate reductionally whereas in the 2nd division they segregate equationally (as they do in mitosis). In certain yeast mutants, a single‐division meiosis takes place, in which some chromosomes segregate reductionally while others divide equationally. This autonomous segregation behaviour of individual chromosomes on a common spindle is determined by the centromeres they carry. The relationship between reductional segregation of a pair (...) of chromosomes and their earlier recombinational history is also discussed. (shrink)

The purpose of this study was to examine the relationship between metacognition as measured in real-life situations and IQ scores as reflected by performance on the Raven Standard Progressive Matrices Scale. It is also intended in this study to report on whether or not there were significant differences in performance on the metacognitive instrument among participants with typical development, deaf and hard-of-hearing, and low-achieving individuals with and without the influence of IQ. Analysis showed significant correlations between IQ, metacognitive test, and (...) metacognitive test scores divided by mean reaction time but not with reaction time itself. Results revealed the influence of IQ on metacognition being greater than the influence of metacognition on IQ. Results showed when controlling for the effect of IQ, differences among the three groups of participants on the metacognitive instrument become non-significant. Implications and suggestions are presented. (shrink)

Critical thinking continues to be viewed as a prerequisite skill for lifelong learning. It is not surprising therefore, that academic programmes delineate CT as a goal and a learning outcome. However, there are concerns regarding the extent to which the aims and objectives of the programmes are aligned with pedagogies for CT. Both the International Baccalaureate Diploma Programme and the Lebanese Baccalaureate Programme clearly delineate CT as a goal and a learning outcome. The study examines the facilitation of teaching CT (...) in the IBDP and LBP. The study was conducted in two schools located in Lebanon; one teaching the IBDP and the other the LBP. Semi structured interviews, questionnaires, and class visits were used to collect data pertaining to the teaching of CT in the two programmes in grades 11 and 12. The study is pioneering in studying the contribution of both programmes to the teaching of CT in Lebanese schools. (shrink)

Trolley dilemmas have been used to justify the intuitive appeal of the doctrine of double effect. According to this doctrine, if a good action has a harmful side effect, it is morally acceptable to do it, provided the harmful effect is not intended. However, in some variants of the dilemma, most people are willing to forego this doctrine, thus making responses inconsistent. In this study, 404 university students from the United Arab Emirates (UAE) were presented with 4 versions of the (...) trolley dilemma. Results came out showing that higher levels of depressive symptoms predict greater consistency in adherence (or rejection) to the doctrine of double effect. Likewise, higher levels of depressive symptom predict utilitarian responses to trolley dilemmas. Anxiety symptoms had similar effects, but more moderate. Demographic variables (age, gender) were also assessed as predictors of responses and consistency to trolley scenarios, but no significant effects were found. (shrink)

The article studies the impact of Fintech on entrepreneurship in Arabic region by using Crowdfunding platforms as the field of study. The article focuses on Arabic Crowdfunding platforms. The population of (12) platforms consist of: individuals, entrepreneurs, investors, employees at Crowdfunding platforms. Descriptive and quantitative approach used in this article, and a questionnaire used as a tool to collect primary data. The results indicate an impact for Fintech on entrepreneurship in general and obvious obstacles to use it widely in Arabic (...) region cause of legislations or e-payments. The article recommended more awareness for innovative products and services such as Fintech, Crowdfunding and adopting the culture of e-business models. Also the article promoting the process of developing regulations that organize e-business models, especially Fintech and Crowdfunding, the use of modern communication technology to serve the development of society, more interest to innovation and creativity as a key factor for entrepreneurial success. (shrink)

Virtual screening is the most critical process in drug discovery, and it relies on machine learning to facilitate the screening process. It enables the discovery of molecules that bind to a specific protein to form a drug. Despite its benefits, virtual screening generates enormous data and suffers from drawbacks such as high dimensions and imbalance. This paper tackles data imbalance and aims to improve virtual screening accuracy, especially for a minority dataset. For a dataset identified without considering the data’s imbalanced (...) nature, most classification methods tend to have high predictive accuracy for the majority category. However, the accuracy was significantly poor for the minority category. The paper proposes a K-mean algorithm coupled with Synthetic Minority Oversampling Technique to overcome the problem of imbalanced datasets. The proposed algorithm is named as KSMOTE. Using KSMOTE, minority data can be identified at high accuracy and can be detected at high precision. A large set of experiments were implemented on Apache Spark using numeric PaDEL and fingerprint descriptors. The proposed solution was compared to both no-sampling method and SMOTE on the same datasets. Experimental results showed that the proposed solution outperformed other methods. (shrink)

The crime is difficult to predict; it is random and possibly can occur anywhere at any time, which is a challenging issue for any society. The study proposes a crime prediction model by analyzing and comparing three known prediction classification algorithms: Naive Bayes, Random Forest, and Gradient Boosting Decision Tree. The model analyzes the top ten crimes to make predictions about different categories, which account for 97% of the incidents. These two significant crime classes, that is, violent and nonviolent, are (...) created by merging multiple smaller classes of crimes. Exploratory data analysis is performed to identify the patterns and understand the trends of crimes using a crime dataset. The accuracies of Naive Bayes, Random Forest, and Gradient Boosting Decision Tree techniques are 65.82%, 63.43%, and 98.5%, respectively, and the proposed model is further evaluated for precision and recall matrices. The results show that the Gradient Boosting Decision Tree prediction model is better than the other two techniques for predicting crime, based on historical data from a city. The analysis and prediction model can help the security agencies utilize the resources efficiently, anticipate the crime at a specific time, and serve society well. (shrink)

Autism Spectrum Disorder (ASD) is extremely heterogeneous clinically and genetically. There is a pressing need for a better understanding of the heterogeneity of ASD based on scientifically rigorous approaches centered on systematic evaluation of the clinical and research utility of both phenotype and genotype markers. This paper presents a holistic PheWAS-inspired method to identify meaningful associations between ASD phenotypes and genotypes. We generate two types of phenotype-phenotype (p-p) graphs: a direct graph that utilizes only phenotype data, and an indirect graph (...) that incorporates genotype as well as phenotype data. We introduce a novel methodology for fusing the direct and indirect p-p networks in which the genotype data is incorporated into the phenotype data in varying degrees. The hypothesis is that the heterogeneity of ASD can be distinguished by clustering the p-p graph. The obtained graphs are clustered using network-oriented clustering techniques, and results are evaluated. The most promising clusterings are subsequently analyzed for biological and domain-based relevance. Clusters obtained delineated different aspects of ASD, including differentiating ASD-specific symptoms, cognitive, adaptive, language and communication functions, and behavioral problems. Some of the important genes associated with the clusters have previous known associations to ASD. We found that clusters based on integrated genetic and phenotype data were more effective at identifying relevant genes than clusters constructed from phenotype information alone. These genes included five with suggestive evidence of ASD association and one known to be a strong candidate. (shrink)

There are various equivalent formulations of the Church-Turing thesis. A common one is that every effective computation can be carried out by a Turing machine. The Church-Turing thesis is often misunderstood, particularly in recent writing in the philosophy of mind.

[opening paragraph]: Buddhist inquiry into the natural world proceeds from a radically different point of departure than western science, and its methods differ correspondingly. Early pioneers of the scientific revolution, including Copernicus, Kepler, and Galileo, expressed an initial interest in the nature of physical objects most far removed from human subjectivity: such issues as the relative motions of the sun and earth, the surface of the moon, and the revolutions of the planets. And a central principle of scientific naturalism is (...) the pure objectification of the natural world, free of any contamination of subjectivity. This principle of objectivism demands that science deals with empirical facts testable by empirical methods entailing testability by third-person means; and such facts must, therefore, be public rather than private, which is to say, they must be accessible to more than one observer. (shrink)

Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyze what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding.There are clear introductions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence and neuroscience. John Searle's (...) attacks on AI and cognitive science are countered and close attention is given to foundational issues, including the nature of computation, Turing Machines, the Church-Turing Thesis and the difference between classical symbol processing and parallel distributed processing. The book also explores the possibility of machines having free will and consciousness and concludes with a discussion of in what sense the human brain may be a computer. (shrink)

Whereas previous discussions on ownership of biological material have been much informed by the natural rights tradition, insufficient attention has been paid to the strand in liberal political theory represented by Felix Cohen, Tony Honoré, and others, which treats property relations as socially constructed bundles of rights. In accordance with that tradition, we propose that the primary normative issue is what combination of rights a person should have to a particular item of biological material. Whether that bundle qualifies to be (...) called “property” or “ownership” is a secondary, terminological issue. We suggest five principles of bodily rights and show how they can be applied to the construction of ethically appropriate bundles of rights to biological material. (shrink)