Results for 'Stuart Sim'

316 found
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  1. A continuum of intentionality: linking the biogenic and anthropogenic approaches to cognition.Matthew Sims - 2021 - Biology and Philosophy 36 (6):1-31.
    Biogenic approaches investigate cognition from the standpoint of evolutionary function, asking what cognition does for a living system and then looking for common principles and exhibitions of cognitive strategies in a vast array of living systems—non-neural to neural. One worry which arises for the biogenic approach is that it is overly permissive in terms of what it construes as cognition. In this paper I critically engage with a recent instance of this way of criticising biogenic approaches in order to clarify (...)
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  2. How to count biological minds: symbiosis, the free energy principle, and reciprocal multiscale integration.Matthew Sims - 2020 - Synthese 199 (1-2):2157-2179.
    The notion of a physiological individuals has been developed and applied in the philosophy of biology to understand symbiosis, an understanding of which is key to theorising about the major transition in evolution from multi-organismality to multi-cellularity. The paper begins by asking what such symbiotic individuals can help to reveal about a possible transition in the evolution of cognition. Such a transition marks the movement from cooperating individual biological cognizers to a functionally integrated cognizing unit. Somewhere along the way, did (...)
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  3. (1 other version)Many Paths to Anticipatory Behavior: Anticipatory Model Acquisition Across Phylogenetic and Ontogenetic Timescales.Matthew Sims - 2023 - Biological Theory 1 (2):114-133.
    Under the assumption that anticipatory models are required for anticipatory behavior, an important question arises about the different manners in which organisms acquire anticipatory models. This article aims to articulate four different non-exhaustive ways that anticipatory models might possibly be acquired over both phylogenetic and ontogenetic timescales and explore the relationships among them. To articulate these different model-acquisition mechanisms, four schematics will be introduced, each of which represents a particular acquisition structure that can be used for the purposes of comparison, (...)
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  4. The Principle of Dynamic Holism: Guiding Methodology for Investigating Cognition in Nonneuronal Organisms.Matthew Sims - 2023 - Philosophy of Science 91 (2):430 - 448.
    Basal cognition investigates cognition working upward from nonneuronal organisms. Because basal cognition is committed to empirically testable hypotheses, a methodological challenge arises: how can experiments avoid using zoocentric assumptions that ignore the ecological contexts that might elicit cognitively driven behavior in nonneuronal organisms? To meet this challenge, I articulate the principle of dynamic holism (PDH), a methodological principle for guiding research on nonneuronal cognition. I describe PDH’s relation to holistic research programs in human-focused cognitive science and psychology then present an (...)
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  5. Towards a dual process epistemology of imagination.Michael T. Stuart - 2019 - Synthese (2):1-22.
    Sometimes we learn through the use of imagination. The epistemology of imagination asks how this is possible. One barrier to progress on this question has been a lack of agreement on how to characterize imagination; for example, is imagination a mental state, ability, character trait, or cognitive process? This paper argues that we should characterize imagination as a cognitive ability, exercises of which are cognitive processes. Following dual process theories of cognition developed in cognitive science, the set of imaginative processes (...)
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  6.  97
    On Fostering Responsible and Rigorous Learning with ChatGPT.Jonathan Y. H. Sim - 2023 - Teaching Connections.
    We are pleased to feature a video interview with Jonathan Sim, where he shares his ongoing journey of integrating artificial intelligence (AI) in his teaching, the challenges encountered along the way, and what educators can do to get their students to meaningfully engage with AI tools like ChatGPT to enhance their learning.
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  7. Scientists are Epistemic Consequentialists about Imagination.Michael T. Stuart - forthcoming - Philosophy of Science:1-22.
    Scientists imagine for epistemic reasons, and these imaginings can be better or worse. But what does it mean for an imagining to be epistemically better or worse? There are at least three metaepistemological frameworks that present different answers to this question: epistemological consequentialism, deontic epistemology, and virtue epistemology. This paper presents empirical evidence that scientists adopt each of these different epistemic frameworks with respect to imagination, but argues that the way they do this is best explained if scientists are fundamentally (...)
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  8. Concern Across Scales: a biologically inspired embodied artificial intelligence.Matthew Sims - 2022 - Frontiers in Neurorobotics 1 (Bio A.I. - From Embodied Cogniti).
    Intelligence in current AI research is measured according to designer-assigned tasks that lack any relevance for an agent itself. As such, tasks and their evaluation reveal a lot more about our intelligence than the possible intelligence of agents that we design and evaluate. As a possible first step in remedying this, this article introduces the notion of “self-concern,” a property of a complex system that describes its tendency to bring about states that are compatible with its continued self-maintenance. Self-concern, as (...)
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  9. (1 other version)How Thought Experiments Increase Understanding.Michael T. Stuart - 2017 - In Michael T. Stuart, Yiftach Fehige & James Robert Brown (eds.), The Routledge Companion to Thought Experiments. London: Routledge. pp. 526-544.
    We might think that thought experiments are at their most powerful or most interesting when they produce new knowledge. This would be a mistake; thought experiments that seek understanding are just as powerful and interesting, and perhaps even more so. A growing number of epistemologists are emphasizing the importance of understanding for epistemology, arguing that it should supplant knowledge as the central notion. In this chapter, I bring the literature on understanding in epistemology to bear on explicating the different ways (...)
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  10. Commentary: How hustle culture is robbing our youths of self-discovery.Jonathan Y. H. Sim - 2024 - Channel News Asia.
    Pausing to reflect feels like stagnant inactivity, but it’s crucial for our youths as increasingly more students come to higher education without having truly engaged in self-reflection.
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  11. Everyday Scientific Imagination: A Qualitative Study of the Uses, Norms, and Pedagogy of Imagination in Science.Michael Stuart - 2019 - Science & Education 28 (6-7):711-730.
    Imagination is necessary for scientific practice, yet there are no in vivo sociological studies on the ways that imagination is taught, thought of, or evaluated by scientists. This article begins to remedy this by presenting the results of a qualitative study performed on two systems biology laboratories. I found that the more advanced a participant was in their scientific career, the more they valued imagination. Further, positive attitudes toward imagination were primarily due to the perceived role of imagination in problem-solving. (...)
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  12. The University Teaching Opportunities Programme (UTOP): An Opportunity for Educators and Students to Learn from One Another.Jonathan Y. H. Sim - 2024 - Teaching Connections.
    Jonathan takes us through his experiences of being a mentor for UTOP (University Teaching Opportunities Programme), particularly how it enabled him to collaborate with his UTOP student mentees to design a learning activity in which students could think critically about AI-generated output.
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  13. Imagination: A Sine Qua Non of Science.Michael T. Stuart - 2017 - Croatian Journal of Philosophy (49):9-32.
    What role does the imagination play in scientific progress? After examining several studies in cognitive science, I argue that one thing the imagination does is help to increase scientific understanding, which is itself indispensable for scientific progress. Then, I sketch a transcendental justification of the role of imagination in this process.
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  14. Coupling to Variant Information: an Ecological Account of Comparative Mental Imagery Generation.Matthew Sims - 2019 - Review of Philosophy and Psychology 11 (4):899-916.
    Action-based theories of cognition place primary emphasis upon the role that agent-environment coupling plays in the emergence of psychological states. Prima facie, mental imagery seems to present a problem for some of these theories because it is understood to be stimulus-absent and thus thought to be decoupled from the environment. However, mental imagery is much more multifaceted than this “naïve” view suggests. Focusing on a particular kind of imagery, comparative mental imagery generation, this paper demonstrates that although such imagery is (...)
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  15. Embracing ChatGPT and other generative AI tools in higher education: The importance of fostering trust and responsible use in teaching and learning.Jonathan Y. H. Sim - 2023 - Higher Education in Southeast Asia and Beyond.
    Trust is the foundation for learning, and we must not allow ignorance of this new technologies, like Generative AI, to disrupt the relationship between students and educators. As a first step, we need to actively engage with AI tools to better understand how they can help us in our work.
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  16. Peeking Inside the Black Box: A New Kind of Scientific Visualization.Michael T. Stuart & Nancy J. Nersessian - 2018 - Minds and Machines 29 (1):87-107.
    Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The visualization (...)
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  17. Commentary: Unlike parents, AI will never tire of entertaining our children. Here’s the catch.Jonathan Y. H. Sim - 2023 - Channel News Asia.
    We may all be living on the same planet, but the personalised experience of online platforms creates numerous parallel worlds that fragments our communicative cultures - this problem quietly escapes our attention, and it is dividing us to such extent that it is becoming increasingly difficult for us to respectfully converse and collaborate with others. Seeing how these personalised bubbles are making our youths struggle to understand and work with others, my worry is that this problem will worsen with children (...)
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  18. Modelling ourselves: what the debate on the Free Energy Principle reveals about our implicit notions of representation.Matthew Sims & Giovanni Pezzulo - 2021 - Synthese 1 (1):30.
    Predictive processing theories are increasingly popular in philosophy of mind; such process theories often gain support from the Free Energy Principle (FEP)—a nor- mative principle for adaptive self-organized systems. Yet there is a current and much discussed debate about conflicting philosophical interpretations of FEP, e.g., repre- sentational versus non-representational. Here we argue that these different interpre- tations depend on implicit assumptions about what qualifies (or fails to qualify) as representational. We deploy the Free Energy Principle (FEP) instrumentally to dis- tinguish (...)
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  19. Commentary: I am a teacher and I let my students use ChatGPT.Jonathan Y. H. Sim - 2023 - Channel News Asia.
    As educators, we often ask if our students are ready for the future, but how often do we ask ourselves if we educators are ready for the future?
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  20.  90
    Commentary: Amid fears of youth radicalisation via gaming, are we blaming technology for a human problem?Jonathan Y. H. Sim - 2023 - Channel News Asia.
    The drive for human connection and to discover one’s identity is not limited to the online world: It is a universal human need that we all share. It is crucial to understand that problems we typically attribute to gaming platforms (like self-radicalisation) are not special tech problems or gaming problems. They can and do happen offline as well. What we are dealing with is essentially a human problem that so happens to occur on technological platforms.
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  21. Guilty Artificial Minds: Folk Attributions of Mens Rea and Culpability to Artificially Intelligent Agents.Michael T. Stuart & Markus Https://Orcidorg Kneer - 2021 - Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2).
    While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...)
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  22. The SNePS Family.Stuart C. Shapiro & William J. Rapaport - 1992 - Computers and Mathematics with Applications 23:243-275.
    SNePS, the Semantic Network Processing System 45, 54], has been designed to be a system for representing the beliefs of a natural-language-using intelligent system (a \cognitive agent"). It has always been the intention that a SNePS-based \knowledge base" would ultimatelybe built, not by a programmeror knowledge engineer entering representations of knowledge in some formallanguage or data entry system, but by a human informing it using a natural language (NL) (generally supposed to be English), or by the system reading books or (...)
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  23. The material theory of induction and the epistemology of thought experiments.Michael T. Stuart - 2020 - Studies in History and Philosophy of Science Part A 83 (C):17-27.
    John D. Norton is responsible for a number of influential views in contemporary philosophy of science. This paper will discuss two of them. The material theory of induction claims that inductive arguments are ultimately justified by their material features, not their formal features. Thus, while a deductive argument can be valid irrespective of the content of the propositions that make up the argument, an inductive argument about, say, apples, will be justified (or not) depending on facts about apples. The argument (...)
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  24. Vegetarianism.Stuart Rachels - unknown
    1. Animal Cruelty Industrial farming is appallingly abusive to animals. Pigs. In America, nine-tenths of pregnant sows live in “gestation crates. ” These pens are so small that the animals can barely move. When the sows are first crated, they may flail around, in an attempt to get out. But soon they give up. Crated pigs often show signs of depression: they engage meaningless, repetitive behavior, like chewing the air or biting the bars of the stall. The sows live like (...)
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  25. Commentary: Is Singapore’s complaint culture helping us or hurting us?Jonathan Y. H. Sim - 2024 - Channel News Asia.
    How often have you heard someone refer to complaining as a “national pastime” in Singapore? Why do we complain and what do we get out of it? While the Oxford Dictionary defines "complain" as an expression of dissatisfaction or annoyance about something, the philosopher, Julian Baggini, defines the term in his book Complaint as “a refusal or inability to accept that things are not as they ought to be”. This suggests that complaining is not intrinsically harmful - its impact really (...)
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  26.  84
    Commentary: How can Singapore keep up with the unique needs of prodigies?Jonathan Y. H. Sim - 2024 - Channel News Asia.
    The recent news of a 13-year-old Singaporean prodigy graduating from an Australian university has sparked discussion about Singapore’s approach to nurturing exceptional young talents, especially after it was revealed that the boy had been previously rejected by a local university because of his young age. Some have called for an increased flexibility to allow such young people to skip levels in Singapore - parents of intellectually advanced children often cite concerns that their children are disengaged and bored at school. The (...)
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  27. Beyond Desartes and Newton: Recovering life and humanity.Stuart A. Kauffman & Arran Gare - 2015 - Progress in Biophysics and Molecular Biology 119 (3):219-244.
    Attempts to ‘naturalize’ phenomenology challenge both traditional phenomenology and traditional approaches to cognitive science. They challenge Edmund Husserl’s rejection of naturalism and his attempt to establish phenomenology as a foundational transcendental discipline, and they challenge efforts to explain cognition through mainstream science. While appearing to be a retreat from the bold claims made for phenomenology, it is really its triumph. Naturalized phenomenology is spearheading a successful challenge to the heritage of Cartesian dualism. This converges with the reaction against Cartesian thought (...)
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  28. The Role of Imagination in Social Scientific Discovery: Why Machine Discoverers Will Need Imagination Algorithms.Michael Stuart - 2019 - In Mark Addis, Fernand Gobet & Peter Sozou (eds.), Scientific Discovery in the Social Sciences. Springer Verlag.
    When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar them from (...)
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  29. Creating new internship opportunities: engaging employers to see the value in humanities and social sciences.Jonathan Y. H. Sim - 2021 - Times Higher Education (Campus).
    Humanities and social science majors are frequently misunderstood, in Singapore as in many other parts of the world. The value of their education is regularly questioned, and many employers are unaware of the value such majors can bring to the table. They prefer to hire graduates with more explicitly “practical” degrees for jobs that humanities and social sciences students could excel in. As a result, humanities and social sciences students are not typically considered for many organisations and roles, despite offering (...)
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  30. Models and minds.Stuart C. Shapiro & William J. Rapaport - 1991 - In Robert C. Cummins (ed.), Philosophy and AI: Essays at the Interface. Cambridge: MIT Press. pp. 215--259.
    Cognitive agents, whether human or computer, that engage in natural-language discourse and that have beliefs about the beliefs of other cognitive agents must be able to represent objects the way they believe them to be and the way they believe others believe them to be. They must be able to represent other cognitive agents both as objects of beliefs and as agents of beliefs. They must be able to represent their own beliefs, and they must be able to represent beliefs (...)
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  31.  99
    Lessons in motivating students to learn online.Jonathan Y. H. Sim - 2021 - Times Higher Education (Campus).
    Teaching interdisciplinary modules online can be an uphill battle but it offers important lessons in the art of motivating students to learn.
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  32.  97
    Alleviating student anxiety using messaging apps.Jonathan Y. H. Sim - 2021 - Times Higher Education (Campus).
    In my discussion with students, I found that many of them have high levels of anxiety when it comes to learning something outside their intended major. In this article, I explain how I supported my class remotely using the Telegram messaging app to keep a regular flow of communication and reassure students they were not alone in having queries.
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  33.  94
    How to induct students into the flipped-classroom model.Jonathan Y. H. Sim - 2021 - Times Higher Education (Campus).
    The flipped-classroom format is a type of blended learning where students are required to do preparatory work – such as watching lecture videos or completing assignments – before coming to a face-to-face class to work on more challenging problems with the facilitation of an instructor. However, one challenge of teaching flipped-classroom modules is that a big proportion of students often come to class unprepared. Either they do not watch the lecture videos or they skim through them before the tutorials. Thus, (...)
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  34.  88
    Group work: improving communication, participation and dynamics.Jonathan Y. H. Sim - 2021 - Times Higher Education (Campus).
    When I ask students how they feel about group projects, the response is often negative. This is usually a result of bad experiences with problematic group members, such as free riders who do not contribute or members who bulldoze their ideas through while disregarding their peers. After many semesters mediating disputes within such groups, I have found that issues often stem from concerns about “saving face”. This leads to a lack of much-needed communication. In this article, I offer three methods (...)
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  35.  83
    How to design unforgettable class activities that help students learn better.Jonathan Y. H. Sim - 2021 - Times Higher Education (Campus).
    A problematic trend I notice when conversing with students is how many of them struggle to remember what they did in modules from previous semesters. These discussions got me thinking about how to design learning activities that are unforgettable. Albert Einstein, among other figures credited with the quote, famously said that “education is what remains after one has forgotten what one has learned in school”. I want to ensure my students remember what they have learned from me, especially after all (...)
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  36.  88
    Designing ‘knowledge checker’ quizzes that motivate students to review feedback and revise learning.Jonathan Y. H. Sim - 2021 - Times Higher Education (Campus).
    Assignment feedback is key to helping students improve and correct their understanding so they can build upon solid foundations of knowledge as their course progresses. Yet, I found that about 30% of students review their feedback. It is not because students are lazy but because they struggle to find the time and often have little immediate incentive to review feedback for something that has already been graded when they have other assignments to work on. Feedback is most effective when it (...)
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  37. The future won’t be pretty: The nature and value of ugly, AI-designed experiments.Michael T. Stuart - 2023 - In Milena Ivanova & Alice Murphy (eds.), The Aesthetics of Scientific Experiments. New York, NY: Routledge.
    Can an ugly experiment be a good experiment? Philosophers have identified many beautiful experiments and explored ways in which their beauty might be connected to their epistemic value. In contrast, the present chapter seeks out (and celebrates) ugly experiments. Among the ugliest are those being designed by AI algorithms. Interestingly, in the contexts where such experiments tend to be deployed, low aesthetic value correlates with high epistemic value. In other words, ugly experiments can be good. Given this, we should conclude (...)
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  38. Transfer of Personality to Synthetic Human ("mind uploading") and the Social Construction of Identity.John Danaher & Sim Bamford - 2017 - Journal of Consciousness Studies 24 (11-12):6-30.
    Humans have long wondered whether they can survive the death of their physical bodies. Some people now look to technology as a means by which this might occur, using terms such 'whole brain emulation', 'mind uploading', and 'substrate independent minds' to describe a set of hypothetical procedures for transferring or emulating the functioning of a human mind on a synthetic substrate. There has been much debate about the philosophical implications of such procedures for personal survival. Most participants to that debate (...)
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  39. My Experiences in Using the Telegram Messaging App as a Teaching Tool.Jonathan Y. H. Sim - 2021 - Teaching Connections.
    Jonathan discusses the learning issues he observed which prompted him to adopt this platform in his teaching, the implementation process, and his observations of his students’ response to this approach.
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  40. Philosophical Conceptual Analysis as an Experimental Method.Michael T. Stuart - 2015 - In Thomas Gamerschlag, Doris Gerland, Rainer Osswald & Wiebke Petersen (eds.), Meaning, Frames, and Conceptual Representation. Düsseldorf University Press. pp. 267-292.
    Philosophical conceptual analysis is an experimental method. Focusing on this helps to justify it from the skepticism of experimental philosophers who follow Weinberg, Nichols & Stich. To explore the experimental aspect of philosophical conceptual analysis, I consider a simpler instance of the same activity: everyday linguistic interpretation. I argue that this, too, is experimental in nature. And in both conceptual analysis and linguistic interpretation, the intuitions considered problematic by experimental philosophers are necessary but epistemically irrelevant. They are like variables introduced (...)
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  41. Sizing Up Free Will: The Scale of Compatibilism.Stuart Doyle - 2021 - Journal of Mind and Behavior 42 (3 & 4):271-289.
    Is human free will compatible with the natural laws of the universe? To “compatibilists” who see free actions as emanating from the wants and reasons of human agents, free will looks perfectly plausible. However, “incompatibilists” claim to see the more ultimate sources of human action. The wants and reasons of agents are said to be caused by physical processes which are themselves mere natural results of the previous state of the world and the natural laws which govern it. This paper (...)
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  42. The ‘Face’ Barriers to Partnership.Jonathan Y. H. Sim - 2019 - Teaching and Learning Together in Higher Education 1 (27):1-4.
    As a teacher in Singapore, I regularly encounter a classroom full of quiet students, reluctant to participate in class, to engage with the teacher when questioned, or even to volunteer for any project or initiative. Many teachers here are quick to conclude that Singapore students are passive or conformists. This observation is, in fact, not unique to students in Singapore, but also to the broader Asian region. Scholars like Cortazzi and Jin (1996) attributed such behaviour to the specific cultural values, (...)
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  43. Enkinaesthesia: the fundamental challenge for machine consciousness.Susan A. J. Stuart - 2011 - International Journal of Machine Consciousness 3 (1):145-162.
    In this short paper I will introduce an idea which, I will argue, presents a fundamental additional challenge to the machine consciousness community. The idea takes the questions surrounding phenomenology, qualia and phenomenality one step further into the realm of intersubjectivity but with a twist, and the twist is this: that an agent’s intersubjective experience is deeply felt and necessarily co-affective; it is enkinaesthetic, and only through enkinaesthetic awareness can we establish the affective enfolding which enables first the perturbation, and (...)
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  44. Constitutive relevance & mutual manipulability revisited.Carl F. Craver, Stuart Glennan & Mark Povich - 2021 - Synthese 199 (3-4):8807-8828.
    An adequate understanding of the ubiquitous practice of mechanistic explanation requires an account of what Craver termed “constitutive relevance.” Entities or activities are constitutively relevant to a phenomenon when they are parts of the mechanism responsible for that phenomenon. Craver’s mutual manipulability account extended Woodward’s account of manipulationist counterfactuals to analyze how interlevel experiments establish constitutive relevance. Critics of MM argue that applying Woodward’s account to this philosophical problem conflates causation and constitution, thus rendering the account incoherent. These criticisms, we (...)
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  45. From agency to apperception: through kinaesthesia to cognition and creation.Susan A. J. Stuart - 2008 - Ethics and Information Technology 10 (4):255-264.
    My aim in this paper is to go some way towards showing that the maintenance of hard and fast dichotomies, like those between mind and body, and the real and the virtual, is untenable, and that technological advance cannot occur with being cognisant of its reciprocal ethical implications. In their place I will present a softer enactivist ontology through which I examine the nature of our engagement with technology in general and with virtual realities in particular. This softer ontology is (...)
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  46. The technology of participation as a means of improving universities in transitional economies.Stuart Umpleby, Tatiana Medvedeva & Alisa Oyler - 2004 - World Futures 60 (1 & 2):129 – 136.
    Group process methods for problem solving and planning are now widely used in organizations in the United States. Such methods, which involve active participation by employees, are not often used in Russia. We believe these methods would help Russia move from a centrally planned, authoritarian style of management to a more participatory, information-sharing style of management. Accordingly, two training sessions were held with faculty members at universities in Irkutsk and Novosibirsk. This article describes how these meetings were arranged, the results (...)
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  47. That Was the New Labour That Wasn't.Stuart White & Martin O'Neill - 2013 - Fabian Review.
    The New Labour we got was different from the New Labour that might have been, had the reform agenda associated with stakeholding and pluralism in the early-1990s been fully realised. We investigate the road not taken and what it means for ‘one nation’ Labour.
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  48. Playing the Blame Game with Robots.Markus Kneer & Michael T. Stuart - 2021 - In Markus Kneer & Michael T. Stuart (eds.), Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI’21 Companion). New York, NY, USA:
    Recent research shows – somewhat astonishingly – that people are willing to ascribe moral blame to AI-driven systems when they cause harm [1]–[4]. In this paper, we explore the moral- psychological underpinnings of these findings. Our hypothesis was that the reason why people ascribe moral blame to AI systems is that they consider them capable of entertaining inculpating mental states (what is called mens rea in the law). To explore this hypothesis, we created a scenario in which an AI system (...)
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  49. Free Will vs Natural Necessity?Stuart Greenstreet - 2012 - Philosophy Now 93:25-27.
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  50. The Socially Constructed Self Still Does not Make Sense.Stuart Doyle - 2023 - Journal of Mind and Behavior 44 (3&4):195-207.
    From the time of Confucius and Aristotle up until the present day, theorists have argued that the individual self exists only as an aspect of social structures. The claim is not merely that the self is causally affected by social structures; but that the self is just social structure. The most recent iteration of this claim comes in book-length from Brian Lowery, though the argument was made more completely by Charles Taylor and Kenneth Gergen in the preceding decades. The most (...)
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