Economies are complicated systems encompassing micro behaviors, interaction patterns, and global regularities. Whether partial or general in scope, studies of economic systems must consider how to handle difficult real-world aspects such as asymmetric information, imperfect competition, strategic interaction, collective learning, and the possibility of multiple equilibria. Recent advances in analytical and computational tools are permitting new approaches to the quantitative study of these aspects. One such approach is Agent-based Computational Economics (ACE), the computational study of economic processes modeled as dynamic (...) systems of interacting agents. This chapter explores the potential advantages and disadvantages of ACE for the study of economic systems. General points are concretely illustrated using an ACE model of a two-sector decentralized market economy. Six issues are highlighted: Constructive understanding of production, pricing, and trade processes; the essential primacy of survival; strategic rivalry and market power; behavioral uncertainty and learning; the role of conventions and organizations; and the complex interactions among structural attributes, institutional arrangements, and behavioral dispositions. (shrink)

In “Global Knowledge Frameworks and the Tasks of Cross-Cultural Philosophy,” Leigh Jenco searches for the conception of knowledge that best justifies the judgment that one can learn from non-local traditions of philosophy. Jenco considers four conceptions of knowledge, namely, in catchwords, the esoteric, Enlightenment, hermeneutic, and self- transformative conceptions of knowledge, and she defends the latter as more plausible than the former three. In this critical discussion of Jenco’s article, I provide reason to doubt the self-transformative conception, and also (...) advance a fifth, pluralist conception of knowledge that I contend best explains the prospect of learning from traditions other than one’s own. (shrink)

The world has surpassed three million deaths from COVID-19, and faces potentially catastrophic tipping points in the global climate system. Despite the urgency, governments have struggled to address either problem. In this paper, we argue that COVID-19 and anthropogenic climate change (ACC) are critical examples of an emerging type of governance challenge: severe collective action problems that require significant individual behavior change under conditions of hyper- partisanship and scientific misinformation. Building on foundational political science work demonstrating the potential for norms (...) (or informal rules of behavior) to solve collective action problems, we analyze more recent work on norms from neighboring disciplines to offer novel recommendations for more difficult challenges like COVID-19 and ACC. Key insights include more attention to (1) norm-based messaging strategies that appeal to individuals across the ideological spectrum or that reframe collective action as consistent with resistant subgroups’ pre-existing values, (2) messages that emphasize both the prevalence and the social desirability of individual behaviors required to address these challenges, (3) careful use of public policies and incentives that make individual behavior change easier without threatening norm internalization, and (4) greater attention to epistemic norms governing trust in different information sources. We conclude by pointing out that COVID-19 and climate change are likely harbingers of other polarized collective action problems that governments will face in the future. By connecting work on norms and political governance with a broader, interdisciplinary literature on norm psychology, motivation, and behavior change, we aim to improve the ability of political scientists and policy makers to respond to these and future collective action challenges. (shrink)

An expected utility model of individual choice is formulated which allows the decision maker to specify his available actions in the form of controls (partial contingency plans) and to simultaneously choose goals and controls in end-mean pairs. It is shown that the Savage expected utility model, the Marschak- Radner team model, the Bayesian statistical decision model, and the standard optimal control model can be viewed as special cases of this goal-control expected utility model.

Probability updating via Bayes' rule often entails extensive informational and computational requirements. In consequence, relatively few practical applications of Bayesian adaptive control techniques have been attempted. This paper discusses an alternative approach to adaptive control, Bayesian in spirit, which shifts attention from the updating of probability distributions via transitional probability assessments to the direct updating of the criterion function, itself, via transitional utility assessments. Results are illustrated in terms of an adaptive reinvestment two-armed bandit problem.

Scientists and engineers seek to understand how real-world systems work and could work better. Any modeling method devised for such purposes must simplify reality. Ideally, however, the modeling method should be flexible as well as logically rigorous; it should permit model simplifications to be appropriately tailored for the specific purpose at hand. Flexibility and logical rigor have been the two key goals motivating the development of Agent-based Computational Economics (ACE), a completely agent-based modeling method characterized by seven specific modeling principles. (...) This perspective provides an overview of ACE, a brief history of its development, and its role within a broader spectrum of experiment-based modeling methods. (shrink)

Hume maintained that, philosophically speaking, there is no difference between exiting a room out of the first-floor window and using the door. Nevertheless, Hume’s reason and common sense prevailed over his scepticism and he advocated that we should always use the door. However, we are currently living in a world that is more seriously committed to the Humean philosophy of empiricism than he was himself and thus the potential to act inappropriately is an ever-present potential. In this paper, I explore (...) how Hume’s two versions of causality have detrimentally affected our ability both to arrive at and to use research to improve human well-being. I illustrate my argument with an example of what I think is an incorrect yet supposedly scientifically sound assumption: that absenteeism causes poor school attainment. Instead I make the interdisciplinary argument that absenteeism is better understood as an aggravating symptom of a number of other causes of poor attainment, such as poverty and individual psychological factors. I suggest that an instrumental, punitive policy against parents whose children tend to be absent from school may be ineffectual or even counterproductive if the objective is to improve the well-being of those children. To support my argument, I introduce the critical realist idea of transfactuality. Using the example of research into moon rocks, I show how mainstream science uses transfactuality despite its empiricist aversion to it. I also suggest that it is our honesty, integrity, and stoicism that lead us to the extreme overthrow of reason and common sense that we see today in many of the UK’s social policies; an overthrow that Hume himself did not achieve. Metaphorically speaking, British professionals, stoically and honestly believing in the ability of their trusted research correlations to guide their action, are exiting out of the first-floor window rather than using the door. This is a significant barrier to our ability to devise and implement social policy. (shrink)

Whatever one makes of the relationship between free will and moral responsibility – e.g. whether it’s the case that we can have the latter without the former and, if so, what conditions must be met; whatever one thinks about whether artificially intelligent agents might ever meet such conditions, one still faces the following questions. What is the value of moral responsibility? If we take moral responsibility to be a matter of being a fitting target of moral blame or praise, what (...) are the goods attached to them? The debate concerning ‘machine morality’ is often hinged on whether artificial agents are or could ever be morally responsible, and it is generally taken for granted (following Matthias 2004) that if they cannot, they pose a threat to the moral responsibility system and associated goods. In this paper, I challenge this assumption by asking what the goods of this system, if any, are, and what happens to them in the face of artificially intelligent agents. I will argue that they neither introduce new problems for the moral responsibility system nor do they threaten what we really (ought to) care about. I conclude the paper with a proposal for how to secure this objective. (shrink)

Shortly before his death in 2004, Jacques Derrida provocatively suggested that the greatest problem confronting contemporary democracy is that ‘the alternative to democracy can always be represented as a democratic alternative ’. This article analyses the manner in which certain manifestly anti-democratic practices, like terror and torture, come to be taken up in defense of democracies as a result of what Derrida calls democracy’s ‘autoimmune’ tendencies.

A generalization of the standard n-person game is presented, with flexible information requirements suitable for players constrained by bounded rationality. Strategies (complete contingency plans) are replaced by "policies," i. e., end-mean pairs of candidate goals and "controls" (partial contingency plans). The existence of individual objective functions over the joint policy choice set is axiomatized in terms of primitive preference and probability orders. Conditions are given for the existence of pure policy Nash equilibrium points in n-person games, and pure policy Nash (...) bargaining and equilibrium threat solutions in 2-person policy games. Connectedness of the policy and payoff sets is not required. (shrink)

In Section 1, we begin by asking what, exactly, it might mean for God to “elect” people and how this relates to their agency and freedom. After getting clearer on what God is supposed to elect people to or for, we argue against the view that a person’s will is not involved in the process by which God elects her, which we identify in part as the person’s coming to have faith. But, in Section 2, we consider several reasons for (...) thinking that a person’s free will is not involved in her coming to have faith, as well as a potential problem facing this view. Then, in the next three sections (3, 4, and 5) we examine three views on which one’s free will is involved in one’s coming to faith, corresponding roughly to three systematic views of divine providence. We discuss certain objections to each of these “models of election,” as well as how each speaks to the possibility of the non-elect. In the sixth and final section, we conclude by addressing the concern that any such philosophizing about God is too anthropomorphic. (shrink)

Real-world economies are open-ended dynamic systems consisting of heterogeneous interacting participants. Human participants are decision-makers who strategically take into account the past actions and potential future actions of other participants. All participants are forced to be locally constructive, meaning their actions at any given time must be based on their local states; and participant actions at any given time affect future local states. Taken together, these essential properties imply real-world economies are locally-constructive sequential games. This paper discusses a modeling approach, (...) Agent-based Computational Economics, that permits researchers to study economic systems from this point of view. ACE modeling principles and objectives are first concisely presented and explained. The remainder of the paper then highlights challenging issues and edgier explorations that ACE researchers are currently pursuing. (shrink)

Within the cognitive science of religion, some scholars hypothesize (1) that minimally counterintuitive (MCI) concepts enjoy a transmission advantage over both intuitive and highly counterintuitive concepts, (2) that religions concern counterintuitive agents, objects, or events, and (3) that the transmission advantage of MCI concepts makes them more likely to be found in the world’s religions than other kinds of concepts. We hypothesized that the memorability of many MCI supernatural concepts was due in large part to other characteristics they possess, such (...) as their frequent and salient association with moral concerns and the alleviation of existential anxieties, and that without such characteristics they would fail to be memorable. We report the results of three experiments designed to test the relative contributions of minimal counterintuitiveness, moral valence, and existential anxiety to the memorability of supernatural ideas. We observed no main effects for minimal counterintuitiveness but did observe main effects for both moral valence and existential anxiety. We also found that these effects did not seem to stem from the greater visualizability of morally valenced concepts or concepts that concerned existential anxieties. These findings challenge important claims made by leading researchers regarding MCI concepts within the cognitive science of religion. (shrink)

This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classical and constructive mathematics, with a primary focus on its applicability for social science research. The typical goals of ABM social science researchers are discussed along with the culture-dish nature of their computer experiments. The applicability of ABM for science more generally is also considered, with special attention to physics. Finally, two distinct types of ABM applications are summarized in order to illustrate concretely the duality (...) of ABM: Real-world systems can not only be simulated with verisimilitude using ABM; they can also be efficiently and robustly designed and constructed on the basis of ABM principles. (shrink)

This study is intended to determine the efficacy of the teachers and students involving social, cognitive, and teaching presences to the Senior High School students of Saint Joseph College. This study utilized the descriptive survey design. Calderon (2006), defined descriptive research as a purposive process of gathering, analyzing, classifying, and tabulating data about prevailing conditions, practices, processes, trends, and cause-effect relationships and then making an adequate and accurate interpretation of such data with or without or sometimes minimal aid of statistical (...) methods. The following major findings are: the status of the implementation of the online educational community is at a well-implemented level as rated by the students and the teachers. There is no significant difference between the rating of the teachers and the students on the status of the implementation of the online educational community. It can be concluded that the implementation of the online educational community could not be indicative of the performance of the students. Since there is no significant relationship between the implementation of utilizing online education, online learning can still continue as a learning modality whether there is an ongoing pandemic or not because there might be other factors that affect the performance of the students. The mode of the teaching-learning process could not affect the performance of the students. (shrink)

This dissertation focuses on questions regarding the metaphysical and psychological possibility of self-deception and attempts to show that self-deception is a phenomenon best characterized as both motivated and intentional, such that self-deceivers can be held responsible for their deceptions in a stronger sense than that of being merely epistemically negligent. -/- In Chapter One, I introduce the paradoxes of self-deception, which arise when one attempts to draw a close analogy between self- and other-deception, and I discuss the various ways in (...) which one might characterize an unwarranted belief as irrational. I go on to show how the various ways one understands interpersonal deception may mirror the various accounts one might give of self-deception. I concluded the chapter with a brief discussion of the role of empirical studies in philosophical investigations of irrationality. -/- In Chapter Two, I look more closely at a particular kind of intentionalist account of self-deception, namely the claim that we must suppose the existence of a partitioned mind to make sense of the so-called "internal irrationality" of the self-deceiver. I discuss both stronger and weaker versions of this theory, in an attempt to show that it tends to raise more metaphysical worries than it solves. I argue further that if there is such a thing as divisions within the mind, an account of self-deception centered around such divisions will not get the intentionalist about self-deception what he or she wants. -/- In Chapter Three, I move on to discuss non-intentionalist accounts of self-deception. Such theories have gained in popularity in recent years, due to their appeals to explanatory parsimony. Against these theories, I argued that there are certain phenomenon we take to be central to self-deception that Mele, Barnes, et al. cannot account for. I therefore propose that a more robust account of self-deception is necessary to make sense of these phenomena. -/- Chapter Four attempts to provide such an account. I claim that if we focus more heavily on the diachronic process by which self-deceivers elicit and/or maintain their beliefs over time, what emerges looks much more like an intentional project aimed at the manipulation of one's evidence or evidential standards than a mere more-or-less unconscious process of motivated biasing. I suggest that such a view can escape the paradoxes of self-deception, while at the same time making sense of the features lacking on non-intentionalist accounts. -/- Finally, in Chapter Five I examine the morality of self-deception. I argue that self-deceivers are not only epistemically but also morally responsible for their self-deceptions, and that self-deception generally represents a moral failure on the part of the moral agent, regardless of the normative moral theory one adopts. (shrink)

This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classical and constructive mathematics, with a primary focus on its applicability for social science research. The typical goals of ABM social science researchers are discussed along with the culture-dish nature of their computer experiments. The applicability of ABM for science more generally is also considered, with special attention to physics. Finally, two distinct types of ABM applications are summarized in order to illustrate concretely the duality (...) of ABM: Real-world systems can not only be simulated with verisimilitude using ABM; they can also be efficiently and robustly designed and constructed on the basis of ABM principles. (shrink)

This article addresses the fiduciary issues raised by the current practice of plan fiduciaries of not only disclaiming any fiduciary responsibility for brokerage window investments, but also abdicating any role (fiduciary or otherwise) in assessing even the general suitability of those investments for a retirement plan, and concludes that the practice is in plain and notorious violation of what ERISA requires of fiduciaries.

It is no accident that white privilege designed to be both be invisible and weightless to white people. Alison Bailey’s “On White Privilege and Anesthesia: Why Does Peggy McIntosh’s Knapsack Feel Weightless?” extends a weighty invitation white readers to complete the unpacking task McIntosh (1988) began when she compared white privilege to an “invisible and weightless knapsack.” McIntosh focuses primarily making white privilege visible to white people. Bailey’s project continues the conversation by extending a ‘weighty invitation’ to white readers to (...) explore why the metaphorical knapsack, despite the weight of its contents, feels weightless. Here’s the short answer. The knapsack only feels weightless because white people have become anesthetized us to our own brokenness. We are more comfortable considering what white privilege does for us than what it does to us. People of color feel the weight of whiteness every day. The weighty invitation invites white readers to become sensitive to our own insensitivity. To do this Bailey (1) explores white resistance to unpacking the weight; (2) people of color’s testimonies to the daily impact of the weight on their bodies; and (3) how the anesthesia of white privilege distorts our humanity. The article concludes with a McIntosh style list of that the anesthesia of privilege distorts white people’s humanity. (shrink)

Can some films be genuine thought experiments that challenge our commonsense intuitions? Certain filmic narratives and their mise-en-scène details reveal rigorous reasoning and counterintuitive outcomes on philosophical issues, such as skepticism or personal identity. But this philosophical façade may hide a mundane concern for entertainment. Unfamiliar narratives drive spectator entertainment, and every novel cinematic situation could be easily explained as part of a process that lacks motives of philosophical elucidation. -/- The paper inverses the above objection, and proposes that when (...) the main cinematic character resists spectator engagement (a crucial source of cinematic entertainment), emotionally challenged spectators also question their commonsensical beliefs about his/her actions, and detect a conceptually novel situation as such. -/- A case study is Mike Leigh’s film Happy-Go-Lucky (2008), in which the main female character presents an unrelenting but eccentric version of 'feel good' happiness. Spectators gradually detect that the previously unexamined, commonsensical version of subjective happiness comes at the price of individual eccentricity, and that the choice of a subjective theory of happiness leads to consequences hitherto unacknowledged. (shrink)

This is a commentary on MM McCabe's "First Chop your logos... Socrates and the sophists on language, logic, and development". In her paper MM analyses Plato's Euthydemos, in which Plato tackles the problem of falsity in a way that takes into account the speaker and complements the Sophist's discussion of what is said. The dialogue looks as if it is merely a demonstration of the silly consequences of eristic combat. And so it is. But a main point of MM's paper (...) is that there is serious philosophy in the Euthydemos, too. MM argues that to counter the sophist brothers Euthydemos and Dionysodoros, Socrates points out that that there are different aspects to the verb 'to say' that run in parallel to the different aspects of the very 'to learn'. So just as there is continuity rather than ambiguity between 'to learn' and 'to understand', so there is continuity between the different aspects of saying. Thus Socrates puts forward a teleological account of both learning and meaning. Following up on some of MM's thoughts, I argue that the sophists subscribe, despite appearance, to a theory of meaning that respects serious and widely accepted philosophical theses on meaning. -/- Forthcoming in the Australasian Philosophical Review. The curator of the volume is Fiona Leigh, and the committee also has Hugh Benson and Tim Clarke. You can find MM's paper as well as the commentaries by Nicholas Denyer and Russell E. Jones and Ravi Sharma (and myself) by registering. (shrink)

In “Are Certain Knowledge Frameworks More Congenial to the Aims of Cross-Cultural Philosophy? A Qualified Yes,” Leigh Jenco responds to an article in which I had argued for a similar conclusion. I had contended roughly that the positing of objective truth combined with a fallibilist epistemology best explains why a philosopher from one culture could learn something substantial from another culture. In her response, Jenco contends that this knowledge framework does not account adequately for the intuition that various philosophical (...) traditions have an equal standing and that traditions other than one’s own are not to be considered inferior. In addition, according to Jenco, an appeal to objective truth on the part of one epistemic culture is unavoidably oppressive, or overly risks being so, with regard to another one. In this brief reply, I argue that an appeal to objective truth in the realms of epistemology and morality in fact makes the most sense of Jenco’s concerns about inegalitarianism and oppression. (shrink)

This eighth volume of Collected Papers includes 75 papers comprising 973 pages on (theoretic and applied) neutrosophics, written between 2010-2022 by the author alone or in collaboration with the following 102 co-authors (alphabetically ordered) from 24 countries: Mohamed Abdel-Basset, Abduallah Gamal, Firoz Ahmad, Ahmad Yusuf Adhami, Ahmed B. Al-Nafee, Ali Hassan, Mumtaz Ali, Akbar Rezaei, Assia Bakali, Ayoub Bahnasse, Azeddine Elhassouny, Durga Banerjee, Romualdas Bausys, Mircea Boșcoianu, Traian Alexandru Buda, Bui Cong Cuong, Emilia Calefariu, Ahmet Çevik, Chang Su Kim, Victor (...) Christianto, Dae Wan Kim, Daud Ahmad, Arindam Dey, Partha Pratim Dey, Mamouni Dhar, H. A. Elagamy, Ahmed K. Essa, Sudipta Gayen, Bibhas C. Giri, Daniela Gîfu, Noel Batista Hernández, Hojjatollah Farahani, Huda E. Khalid, Irfan Deli, Saeid Jafari, Tèmítópé Gbóláhàn Jaíyéolá, Sripati Jha, Sudan Jha, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, M. Karthika, Kawther F. Alhasan, Giruta Kazakeviciute-Januskeviciene, Qaisar Khan, Kishore Kumar P K, Prem Kumar Singh, Ranjan Kumar, Maikel Leyva-Vázquez, Mahmoud Ismail, Tahir Mahmood, Hafsa Masood Malik, Mohammad Abobala, Mai Mohamed, Gunasekaran Manogaran, Seema Mehra, Kalyan Mondal, Mohamed Talea, Mullai Murugappan, Muhammad Akram, Muhammad Aslam Malik, Muhammad Khalid Mahmood, Nivetha Martin, Durga Nagarajan, Nguyen Van Dinh, Nguyen Xuan Thao, Lewis Nkenyereya, Jagan M. Obbineni, M. Parimala, S. K. Patro, Peide Liu, Pham Hong Phong, Surapati Pramanik, Gyanendra Prasad Joshi, Quek Shio Gai, R. Radha, A.A. Salama, S. Satham Hussain, Mehmet Șahin, Said Broumi, Ganeshsree Selvachandran, Selvaraj Ganesan, Shahbaz Ali, Shouzhen Zeng, Manjeet Singh, A. Stanis Arul Mary, Dragiša Stanujkić, Yusuf Șubaș, Rui-Pu Tan, Mirela Teodorescu, Selçuk Topal, Zenonas Turskis, Vakkas Uluçay, Norberto Valcárcel Izquierdo, V. Venkateswara Rao, Volkan Duran, Ying Li, Young Bae Jun, Wadei F. Al-Omeri, Jian-qiang Wang, Lihshing Leigh Wang, Edmundas Kazimieras Zavadskas. (shrink)

On the Australian Broadcasting Corporation's current affairs program "7.30 Report" (29/01/2015), presenter Leigh Sales asked Canadian psychiatrist and author Norman Doidge "What is the difference between the mind and the brain?" Dr. Doidge's reply - "Well, the brain is thought to be roughly three pounds of physical material and nobody, to my mind, has adequately defined and established what the contours of mind are - and that includes all the neuroscientists I know, with respect." -/- I’ve recently read interesting (...) thoughts by mathematical physicist Roger Penrose and anesthesiologist Stuart Hameroff; as well as by 20th-century Austrian physicist Wolfgang Pauli, Austrian theoretical physicist Erwin Schrodinger, Discover Magazine’s writer Shannon Palus and philosopher/neuroscientist Eddy Nahmias. I’d like to weave these thoughts together (with a few of my own) to hopefully find a satisfactory definition of mind. (shrink)

Review of the books: Jerry A. Fodor. Concepts: Where Cognitive Science went wrong. Oxford, UK: Oxford University Press, 1998, 174 pp., ISBN 0-19-823636-0. Geoffrey C. Bowker and Susan Leigh Star. Sorting things out: Classification and its consequences. Cambridge, MA: The MIT Press, 1999, 377 pp., ISBN 0-262-02461-6.

The explosive growth in computational power over the past several decades offers new tools and opportunities for economists. This handbook volume surveys recent research on Agent-based Computational Economics (ACE), the computational study of economic processes modeled as open-ended dynamic systems of interacting agents. Empirical referents for “agents” in ACE models can range from individuals or social groups with learning capabilities to physical world features with no cognitive function. Topics covered include: learning; empirical validation; network economics; social dynamics; financial markets; innovation (...) and technological change; organizations; market design; automated markets and trading agents; political economy; social-ecological systems; computational laboratory development; and general methodological issues. (shrink)

Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...) year. And one in six people (16.6%) will experience depression at some time in their life. Depression can strike at any time, but on average, first appears during the late teens to mid-20s. Women are more likely than men to experience depression. Some studies show that one-third of women will experience a major depressive episode in their lifetime. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Psychologist in diagnosing depression disease through its symptoms such as: a loss of energy, a change in appetite, sleeping more or less, anxiety, reduced concentration, indecisiveness, restlessness, feelings of worthlessness, guilt or hopelessness and thoughts of self-harm or suicide. The proposed expert system presents an overview about depression disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed depression disease diagnosis expert system was evaluated by psychologist students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for psychologist, patients with depression and newly graduated psychologist. (shrink)

The study aims to identify the efficiency of the university education performance from the perspective of postgraduate and undergraduate students in international and Palestinian universities. The analytical descriptive approach was used for this purpose and the questionnaire was used as a main tool for data collection. The study community consists of: post graduate students, (23850) graduate students and (146355) undergraduate students. The sample of the study was 378 graduate students and 383 undergraduate students. The random stratified sample was used. The (...) Statistical Package of Social Sciences (SPSS) was also used for data analysis. The study reached a number of results, the most important of which are: The level of efficiency of educational performance in Palestinian and international universities from the point of view of postgraduate and undergraduate students was high. And that there are significant differences between the average views of the sample of the study on the efficiency of educational performance in Palestinian and international universities attributed to the University and to the benefit of international universities. The study concluded many recommendations, the most important of which is the necessity of continuing to develop e-learning strategies that affect the efficiency of educational performance and research commensurate with the university's position in the local and international community, which puts it on the best classification between local and international universities through e-learning. (shrink)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...) to produce Pneumonia detection and classification models using x-ray imaging for rapid and easy detection and identification of pneumonia. In this thesis, we review ways and mechanisms to use deep learning techniques to produce a model for Pneumonia detection. The goal is find a good and effective way to detect pneumonia based on X-rays to help the chest doctor in decision-making easily and accuracy and speed. The model will be designed and implemented, including both Dataset of image and Pneumonia detection through the use of Deep learning algorithms based on neural networks. The test and evaluation will be applied to a range of chest x-ray images and the results will be presented in detail and discussed. This thesis uses deep learning to detect pneumonia and its classification. (shrink)

Wigner's quantum-mechanical classification of particle-types in terms of irreducible representations of the Poincaré group has a classical analogue, which we extend in this paper. We study the compactness properties of the resulting phase spaces at fixed energy, and show that in order for a classical massless particle to be physically sensible, its phase space must feature a classical-particle counterpart of electromagnetic gauge invariance. By examining the connection between massless and massive particles in the massless limit, we also derive a classical-particle (...) version of the Higgs mechanism. (shrink)

False belief tasks have enjoyed a monopoly in the research on children’s development of a theory of mind. They have been granted this status because they promise to deliver an unambiguous assessment of children’s understanding of the representational nature of mental states. Their poor cousins, true belief tasks, have been relegated to occasional service as control tasks. That this is their only role has been due to the universal assumption that correct answers on true belief tasks are inherently ambiguous regarding (...) the level of the child’s understanding of mental states. It has also been due to the universal assumption that nothing in the child’s developing theory of mind would lead to systematically incorrect answers on true belief tasks. We review new findings that 4- and 5-year-olds do err, systematically and profoundly, on the true belief versions of all the extant belief tasks. This reveals an intermediate level of understanding in the development of children’s theory of mind. Researchers have been unaware of this intermediate level because it produces correct answers in false belief tasks. A simple two-task battery—one true belief task and one false belief task—is sufficient to remove the ambiguity from each task. The new findings show that children do not acquire an understanding of beliefs, and hence a representational theory of mind, until after 6 years of age, or 2 years later than most developmental psychologists have concluded. This raises the question of how to interpret other new findings that infants are able to pass false belief tasks. We review these new infant studies, as well as recent studies on chimpanzees, in light of older children’s failure on true belief tasks, and end with some speculation about how all of these new findings might be reconciled. (shrink)

Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which (...) helps in protecting them from developing deadly blood clots. A tomato classification approach is presented with a data set containing approximately 5,266 images with 7 species belonging to tomatoes. The Neural Network Algorithms (CNN), a deep learning technique applied widely in image recognition, is used for this task. (shrink)

In a recent paper, Giubilini and Minerva argue for the moral permissibility of what they call ‘after-birth abortion’, or infanticide. Here I suggest that they actually employ a confusion of two distinct arguments: one relying on the purportedly identical moral status of a fetus and a newborn, and the second giving an independent argument for the denial of moral personhood to infants (independent of whatever one might say about fetuses). After distinguishing these arguments, I suggest that neither one is capable (...) of supporting Giubilini and Minerva's conclusion. The first argument is at best neutral between permitting infanticide and prohibiting abortion, and may in fact more strongly support the latter. The second argument, I suggest, contains an ambiguity in its key premise, and can be shown to fail on either resolution of that ambiguity. Hence, I conclude that Giubilini and Minerva have not demonstrated the permissibility of infanticide, or even great moral similarity between abortion and infanticide. (shrink)

We consider two ways one might use algorithmic randomness to characterize a probabilistic law. The first is a generative chance* law. Such laws involve a nonstandard notion of chance. The second is a probabilistic* constraining law. Such laws impose relative frequency and randomness constraints that every physically possible world must satisfy. While each notion has virtues, we argue that the latter has advantages over the former. It supports a unified governing account of non-Humean laws and provides independently motivated solutions to (...) issues in the Humean best-system account. On both notions, we have a much tighter connection between probabilistic laws and their corresponding sets of possible worlds. Certain histories permitted by traditional probabilistic laws are ruled out as physically impossible. As a result, such laws avoid one variety of empirical underdetermination, but the approach reveals other varieties of underdetermination that are typically overlooked. (shrink)

Several prominent theorists have recently advocated reconceptualizing rape as “nonconsensual sex,” omitting the traditional “force” element of the crime. I argue that such a conceptualization fails to capture what is distinctively problematic about rape for women and why rape is pivotal in supporting women’s gender oppression. I argue that conceptualizing rape as coerced sex can replace both the force and nonconsent elements and thereby remedies some of the main difficulties with extant definitions, especially in recognizing “acquaintance” rape as such. I (...) argue that this approach helps explain its distinctive badness both for the individual victims and for women as a group. (shrink)

Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not efficient and slow for a (...) large number of documents. To overcome the drawbacks of offline signature verification, we have seen a growth in online biometric personal verification such as fingerprints, eye scan etc. In this paper we created CNN model using python for offline signature and after training and validating, the accuracy of testing was 99.70%. (shrink)

This paper examines the need for static dispositions within the basic ontology of the powers view of properties. To lend some focus, Neil Williams’s well developed case for static dispositions is considered. While his arguments are not necessarily intended to address fundamental ontology, they still provide a useful starting point, a springboard for diving into the deeper metaphysical waters of the dispositionalist approach. Within that ontological context, this paper contends that Williams’s arguments fail to establish the need to posit static (...) dispositions, or at least any sort not already well appreciated by advocates of the powers view. The paper then proceeds to suggest an alternative motivation for positing static dispositions, the success of which depends greatly on which ontological approach to objects is paired with the powers view. (shrink)

ABSTRACT Drawing inspiration from Fred Dretske, L. S. Carrier, John A. Barker, and Robert Nozick, we develop a tracking analysis of knowing according to which a true belief constitutes knowledge if and only if it is based on reasons that are sensitive to the fact that makes it true, that is, reasons that wouldn’t obtain if the belief weren’t true. We show that our sensitivity analysis handles numerous Gettier-type cases and lottery problems, blocks pathways leading to skepticism, and validates the (...) epistemic closure thesis that correct inferences from known premises yield knowledge of the conclusions. We discuss the plausible views of Ted Warfield and Branden Fitelson regarding cases of knowledge acquired via inference from false premises, and we show how our sensitivity analysis can account for such cases. We present arguments designed to discredit putative counterexamples to sensitivity analyses recently proffered by Tristan Haze, John Williams and Neil Sinhababu, which involve true statements made by untrustworthy informants and strange clocks that sometimes display the correct time while running backwards. Finally, we show that in virtue of employing the paradox-free subjunctive conditionals codified by Relevance Logic theorists instead of the paradox-laden subjunctive conditionals codified by Robert Stalnaker and David Lewis. (shrink)

Across various fields it is argued that the self in part consists of an autobiographical self-narrative and that the self-narrative has an impact on agential behavior. Similarly, within action theory, it is claimed that the intentional structure of coherent long-term action is divided into a hierarchy of distal, proximal, and motor intentions. However, the concrete mechanisms for how narratives and distal intentions are generated and impact action is rarely fleshed out concretely. We here demonstrate how narratives and distal intentions can (...) be generated within cognitive agents and how they can impact agential behavior over long time scales. We integrate narratives and distal intentions into the LIDA model,and demonstrate how they can guide agential action in a manner that is consistent with the Global Workspace Theory of consciousness. This paper serves both as an addition to the LIDA cognitive architecture and an elucidation of how narratives and distal intention emerge and play their role in cognition and action. (shrink)

Closure is the epistemological thesis that if S knows that P and knows that P implies Q, then if S infers that Q, S knows that Q. Fred Dretske acknowledges that closure is plausible but contends that it should be rejected because it conflicts with the plausible thesis: Conclusive reasons (CR): S knows that P only if S believes P on the basis of conclusive reasons, i.e., reasons S wouldn‘t have if it weren‘t the case that P. Dretske develops an (...) analysis of knowing that centers on CR, and argues that the requirement undermines skepticism by implying the falsity of closure. We develop a Dretske-style analysis of knowing that incorporates CR, and we argue that this analysis not only accords with closure, but also implies it. In addition, we argue that the analysis accounts for the prima facie plausibility of closure-invoking skeptical arguments, and nonetheless implies that they are fallacious. If our arguments turn out to be sound, the acceptability of Dretske‘s analysis of knowing will be significantly enhanced by the fact that, despite implying closure, it undermines closure-based skepticism. (shrink)

We study the structure of families of theories in the language of arithmetic extended to allow these families to refer to one another and to themselves. If a theory contains schemata expressing its own truth and expressing a specific Turing index for itself, and contains some other mild axioms, then that theory is untrue. We exhibit some families of true self-referential theories that barely avoid this forbidden pattern.

Any realist interpretation of quantum theory must grapple with the measurement problem and the status of state-vector collapse. In a no-collapse approach, measurement is typically modeled as a dynamical process involving decoherence. We describe how the minimal modal interpretation closes a gap in this dynamical description, leading to a complete and consistent resolution to the measurement problem and an effective form of state collapse. Our interpretation also provides insight into the indivisible nature of measurement—the fact that you can't stop a (...) measurement part-way through and uncover the underlying 'ontic' dynamics of the system in question. Having discussed the hidden dynamics of a system's ontic state during measurement, we turn to more general forms of open-system dynamics and explore the extent to which the details of the underlying ontic behavior of a system can be described. We construct a space of ontic trajectories and describe obstructions to defining a probability measure on this space. (shrink)

Multiple states are at risk of becoming uninhabitable due to climate change, forcing their populations to flee. While the 1951 Refugee Convention provides the gold standard of international protection, it is only applied to a limited subset of people fleeing their countries, those who suffer persecution, which most people fleeing climate change cannot establish. While many journalists and non-lawyers freely use the term “climate refugees,” governments, and courts, as well as UNHCR and many refugee experts, have excluded most climate refugees (...) from the Convention as a matter of legal interpretation. In our 2015 paper, “Unable to Return in the 1951 Refugee Convention: Stateless Refugees and Climate Change”, we sought to reopen the debate on “climate refugees” by arguing that some climate refugees qualify under the 1951 Convention as it is currently written (even if they are not persecuted): those who are stateless and are unable to return to their country of origin because climate change has rendered it uninhabitable. Our interpretation, however, has been rejected by Goodwin-Gill and McAdam (2021) and by Foster and Lambert (2019), which explicitly responds to our paper. Here, we address and respond to their arguments, and develop a new supplementary one, drawing on the principle of systemic integration, as enshrined in Article 31(3)(c) of the Vienna Convention on the Law of Treaties. (shrink)

Many mechanisms, functions and structures of life have been unraveled. However, the fundamental driving force that propelled chemical evolution and led to life has remained obscure. The second law of thermodynamics, written as an equation of motion, reveals that elemental abiotic matter evolves from the equilibrium via chemical reactions that couple to external energy towards complex biotic non-equilibrium systems. Each time a new mechanism of energy transduction emerges, e.g., by random variation in syntheses, evolution prompts by punctuation and settles to (...) a stasis when the accessed free energy has been consumed. The evolutionary course towards an increasingly larger energy transduction system accumulates a diversity of energy transduction mechanisms, i.e. species. The rate of entropy increase is identified as the fitness criterion among the diverse mechanisms, which places the theory of evolution by natural selection on the fundamental thermodynamic principle with no demarcation line between inanimate and animate. (shrink)

The representation of propositional attitudes (beliefs, desires, etc.) and the analysis of natural-language, propositional-attitude reports presents difficult problems for cognitive science and artificial intelligence. In particular, various representational approaches to attitudes involve the incorrect “imputation,” to cognitive agents, of the use of artificial theory-laden notions. Interesting cases of this problem are shown to occur in several approaches to attitudes. The imputation problem is shown to arise from the way that representational approaches explicate properties and relationships, and in particular from the (...) way they explicate propositional attitudes themselves. Another factor contributing to imputation is the compositional nature of typical semantic approaches to propositional-attitude reports. Some strategies for avoiding undesirable imputation are examined. One of the main conclusions is that the importance of imputations that arise in a representation scheme depends strongly on the use to which the scheme is put -- on whether, for instance, the scheme is used as part of a formal, objective account of natural language, or is used rather as a representational tool within an agent. (shrink)

In the literature on multiple realizability and the identity theory, cases of neural plasticity have enjoyed a very limited role. The present article attempts to remedy this small influence by arguing that clinical and experimental evidence of quite extensive neural reorganization offers compelling support for the claim that psychological kinds are multiply realized in neurological kinds, thus undermining the identity theory. In particular, cases are presented where subjects with no measurable psychological deficits also have vast, though gradually received, neurological damage. (...) Common objections and concerns are also discussed and rejected. 1 Introduction2 The GRP, Serial Lesion Effect, and Multiple Realizability2.1 A case study of the serial lesion effect2.2 Evaluating the case study’s evidence for multiple realizability3 The GRP More Generally4 Objections to the GRP as Evidence for Multiple Realizability4.1 Small plastic effects and neurological taxonomies4.2 But do neural regions and locations even matter at all?4.3 But are there not other options besides location?5 Conclusion. (shrink)

We argue that C. Darwin and more recently W. Hennig worked at times under the simplifying assumption of an eternal biosphere. So motivated, we explicitly consider the consequences which follow mathematically from this assumption, and the infinite graphs it leads to. This assumption admits certain clusters of organisms which have some ideal theoretical properties of species, shining some light onto the species problem. We prove a dualization of a law of T.A. Knight and C. Darwin, and sketch a decomposition result (...) involving the internodons of D. Kornet, J. Metz and H. Schellinx. A further goal of this paper is to respond to B. Sturmfels’ question, “Can biology lead to new theorems?”. (shrink)