Results for 'reinforcement learning'

956 found
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  1.  60
    Reinforcement learning: A brief guide for philosophers of mind.Julia Haas - 2022 - Philosophy Compass 17 (9):e12865.
    In this opinionated review, I draw attention to some of the contributions reinforcement learning can make to questions in the philosophy of mind. In particular, I highlight reinforcement learning's foundational emphasis on the role of reward in agent learning, and canvass two ways in which the framework may advance our understanding of perception and motivation.
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  2. Can reinforcement learning learn itself? A reply to 'Reward is enough'.Samuel Allen Alexander - 2021 - Cifma.
    In their paper 'Reward is enough', Silver et al conjecture that the creation of sufficiently good reinforcement learning (RL) agents is a path to artificial general intelligence (AGI). We consider one aspect of intelligence Silver et al did not consider in their paper, namely, that aspect of intelligence involved in designing RL agents. If that is within human reach, then it should also be within AGI's reach. This raises the question: is there an RL environment which incentivises RL (...)
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  3. The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI.Samuel Allen Alexander - 2020 - Journal of Artificial General Intelligence 11 (1):70-85.
    After generalizing the Archimedean property of real numbers in such a way as to make it adaptable to non-numeric structures, we demonstrate that the real numbers cannot be used to accurately measure non-Archimedean structures. We argue that, since an agent with Artificial General Intelligence (AGI) should have no problem engaging in tasks that inherently involve non-Archimedean rewards, and since traditional reinforcement learning rewards are real numbers, therefore traditional reinforcement learning probably will not lead to AGI. We (...)
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  4. Extending Environments To Measure Self-Reflection In Reinforcement Learning.Samuel Allen Alexander, Michael Castaneda, Kevin Compher & Oscar Martinez - 2022 - Journal of Artificial General Intelligence 13 (1).
    We consider an extended notion of reinforcement learning in which the environment can simulate the agent and base its outputs on the agent's hypothetical behavior. Since good performance usually requires paying attention to whatever things the environment's outputs are based on, we argue that for an agent to achieve on-average good performance across many such extended environments, it is necessary for the agent to self-reflect. Thus weighted-average performance over the space of all suitably well-behaved extended environments could be (...)
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  5. Punishment and psychopathy: a case-control functional MRI investigation of reinforcement learning in violent antisocial personality disordered men.Sarah Gregory, R. James Blair, Dominic Ffytche, Andrew Simmons, Veena Kumari, Sheilagh Hodgins & Nigel Blackwood - 2014 - Lancet Psychiatry 2:153–160.
    Background Men with antisocial personality disorder show lifelong abnormalities in adaptive decision making guided by the weighing up of reward and punishment information. Among men with antisocial personality disorder, modifi cation of the behaviour of those with additional diagnoses of psychopathy seems particularly resistant to punishment. Methods We did a case-control functional MRI (fMRI) study in 50 men, of whom 12 were violent off enders with antisocial personality disorder and psychopathy, 20 were violent off enders with antisocial personality disorder but (...)
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  6. HCI Model with Learning Mechanism for Cooperative Design in Pervasive Computing Environment.Hong Liu, Bin Hu & Philip Moore - 2015 - Journal of Internet Technology 16.
    This paper presents a human-computer interaction model with a three layers learning mechanism in a pervasive environment. We begin with a discussion around a number of important issues related to human-computer interaction followed by a description of the architecture for a multi-agent cooperative design system for pervasive computing environment. We present our proposed three- layer HCI model and introduce the group formation algorithm, which is predicated on a dynamic sharing niche technology. Finally, we explore the cooperative reinforcement (...) and fusion algorithms; the paper closes with concluding observations and a summary of the principal work and contributions of this paper. (shrink)
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  7. Learning and Business Incubation Processes and Their Impact on Improving the Performance of Business Incubators.Shehada Y. Rania, El Talla A. Suliman, J. Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 4 (5):120-142.
    This study aimed to identify the learning and business incubation processes and their impact on developing the performance of business incubators in Gaza Strip, and the study relied on the descriptive analytical approach, and the study population consisted of all employees working in business incubators in Gaza Strip in addition to experts and consultants in incubators where their total number reached (62) individuals, and the researchers used the questionnaire as a main tool to collect data through the comprehensive survey (...)
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  8. Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning[REVIEW]Chenguang Lu - 2023 - Entropy 25 (5).
    A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity functions and Estimated Mutual Information (EMI) are used as learning and objective functions. Coincidentally, EMI is essentially the same as Semantic Mutual Information (SeMI) proposed by the author 30 years ago. This paper first reviews the evolutionary histories of semantic information measures and learning functions. Then, it briefly introduces the author’s semantic information (...)
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  9. Pseudo-visibility: A Game Mechanic Involving Willful Ignorance.Samuel Allen Alexander & Arthur Paul Pedersen - 2022 - FLAIRS-35.
    We present a game mechanic called pseudo-visibility for games inhabited by non-player characters (NPCs) driven by reinforcement learning (RL). NPCs are incentivized to pretend they cannot see pseudo-visible players: the training environment simulates an NPC to determine how the NPC would act if the pseudo-visible player were invisible, and penalizes the NPC for acting differently. NPCs are thereby trained to selectively ignore pseudo-visible players, except when they judge that the reaction penalty is an acceptable tradeoff (e.g., a guard (...)
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  10. Private memory confers no advantage.Samuel Allen Alexander - forthcoming - Cifma.
    Mathematicians and software developers use the word "function" very differently, and yet, sometimes, things that are in practice implemented using the software developer's "function", are mathematically formalized using the mathematician's "function". This mismatch can lead to inaccurate formalisms. We consider a special case of this meta-problem. Various kinds of agents might, in actual practice, make use of private memory, reading and writing to a memory-bank invisible to the ambient environment. In some sense, we humans do this when we silently subvocalize (...)
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  11. Neural correlates of error-related learning deficits in individuals with psychopathy.A. K. L. von Borries, Inti A. Brazil, B. H. Bulten, J. K. Buitelaar, R. J. Verkes & E. R. A. de Bruijn - 2010 - Psychological Medicine 40:1559–1568.
    The results are interpreted in terms of a deficit in initial rule learning and subsequent generalization of these rules to new stimuli. Negative feedback is adequately processed at a neural level but this information is not used to improve behaviour on subsequent trials. As learning is degraded, the process of error detection at the moment of the actual response is diminished. Therefore, the current study demonstrates that disturbed error-monitoring processes play a central role in the often reported (...) deficits in individuals with PP. (shrink)
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  12.  93
    Moral dimensionality.Jedrzej Stefanowicz - manuscript
    In modern, culturally-heterogeneous societies, inefficiency of communication of important moral concepts is often evidenced by asymmetrical moral judgements and hypocritical behaviour, especially in our increasingly compartmentalised social landscapes [Rozuel 2011]. This raises the question of how to present target audiences with some (perhaps novel) moral concept, like an ethical dimension of one’s ecological attitude, in a way which would resonate with them, and be conducive to a coherent moral stance, decreasing action-observer biases. We analyse this problem by introducing a formal (...)
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  13. Natural Curiosity.Jennifer Nagel - forthcoming - In Artūrs Logins & Jacques Henri Vollet (eds.), Putting Knowledge to Work: New Directions for Knowledge-First Epistemology. Oxford: Oxford University Press.
    Curiosity is evident in humans of all sorts from early infancy, and it has also been said to appear in a wide range of other animals, including monkeys, birds, rats, and octopuses. The classical definition of curiosity as an intrinsic desire for knowledge may seem inapplicable to animal curiosity: one might wonder how and indeed whether a rat could have such a fancy desire. Even if rats must learn many things to survive, one might expect their learning must be (...)
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  14. The evaluative mind.Julia Haas - forthcoming - In Mind Design III.
    I propose that the successes and contributions of reinforcement learning urge us to see the mind in a new light, namely, to recognise that the mind is fundamentally evaluative in nature.
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  15. Universal Agent Mixtures and the Geometry of Intelligence.Samuel Allen Alexander, David Quarel, Len Du & Marcus Hutter - 2023 - Aistats.
    Inspired by recent progress in multi-agent Reinforcement Learning (RL), in this work we examine the collective intelligent behaviour of theoretical universal agents by introducing a weighted mixture operation. Given a weighted set of agents, their weighted mixture is a new agent whose expected total reward in any environment is the corresponding weighted average of the original agents' expected total rewards in that environment. Thus, if RL agent intelligence is quantified in terms of performance across environments, the weighted mixture's (...)
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  16. Locating Values in the Space of Possibilities.Sara Aronowitz - forthcoming - Philosophy of Science.
    Where do values live in thought? A straightforward answer is that we (or our brains) make decisions using explicit value representations which are our values. Recent work applying reinforcement learning to decision-making and planning suggests that more specifically, we may represent both the instrumental expected value of actions as well as the intrinsic reward of outcomes. In this paper, I argue that identifying value with either of these representations is incomplete. For agents such as humans and other animals, (...)
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  17.  56
    Predictive Minds Can Be Humean Minds.Frederik T. Junker, Jelle Bruineberg & Thor Grünbaum - forthcoming - British Journal for the Philosophy of Science.
    The predictive processing literature contains at least two different versions of the framework with different theoretical resources at their disposal. One version appeals to so-called optimistic priors to explain agents’ motivation to act (call this optimistic predictive processing). A more recent version appeals to expected free energy minimization to explain how agents can decide between different action policies (call this preference predictive processing). The difference between the two versions has not been properly appreciated, and they are not sufficiently separated in (...)
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  18. A lineage explanation of human normative guidance: the coadaptive model of instrumental rationality and shared intentionality.Ivan Gonzalez-Cabrera - 2022 - Synthese 200 (6):1-32.
    This paper aims to contribute to the existing literature on normative cognition by providing a lineage explanation of human social norm psychology. This approach builds upon theories of goal-directed behavioral control in the reinforcement learning and control literature, arguing that this form of control defines an important class of intentional normative mental states that are instrumental in nature. I defend the view that great ape capacities for instrumental reasoning and our capacity (or family of capacities) for shared intentionality (...)
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  19. No Hugging, No Learning: The Limitations of Humour.Cochrane Tom - 2017 - British Journal of Aesthetics 57 (1):51-66.
    I claim that the significance of comic works to influence our attitudes is limited by the conditions under which we find things funny. I argue that we can only find something funny if we regard it as norm-violating in a way that doesn’t make certain cognitive or pragmatic demands upon us. It is compatible with these conditions that humour reinforces our attitude that something is norm-violating. However, it is not compatible with these conditions that, on the basis of finding it (...)
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  20. Computational Modelling for Alcohol Use Disorder.Matteo Colombo - forthcoming - Erkenntnis.
    In this paper, I examine Reinforcement Learning modelling practice in psychiatry, in the context of alcohol use disorders. I argue that the epistemic roles RL currently plays in the development of psychiatric classification and search for explanations of clinically relevant phenomena are best appreciated in terms of Chang’s account of epistemic iteration, and by distinguishing mechanistic and aetiological modes of computational explanation.
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  21. The Transition to Experiencing: II. The Evolution of Associative Learning Based on Feelings.Simona Ginsburg & Eva Jablonka - 2007 - Biological Theory 2 (3):231-243.
    We discuss the evolutionary transition from animals with limited experiencing to animals with unlimited experiencing and basic consciousness. This transition was, we suggest, intimately linked with the evolution of associative learning and with flexible reward systems based on, and modifiable by, learning. During associative learning, new pathways relating stimuli and effects are formed within a highly integrated and continuously active nervous system. We argue that the memory traces left by such new stimulus-effect relations form dynamic, flexible, and (...)
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  22.  19
    The plight of Modified Work and Study Program (MWSP) students in learning mathematics.Ervin Jay Salera, Orville J. Evardo Jr & Ivy Lyt Abina - 2023 - Contemporary Educational Researches Journal 13 (4):240-250.
    The Philippine educational system established alternative delivery modes of education, such as the Modified Work and Study Program, to eradicate student dropout incidence. This phenomenological study aims to probe the challenges and explore the coping mechanism of MWSP students in studying mathematics. The study was conducted at a public high school offering the program. Six students were chosen to participate in the study. Focus group discussion was utilized for the data gathering of the study. Results showed that mediocrity of resources (...)
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  23. Exploring the Parents’ Disciplinary Strategies to Promote Children’s Learning Interest.Kwenberlin Hambala, Enid Chloe Lopez, Dhianne Cobrado, Genesis Naparan, Geraldine Dela Pena & Alfer Jann Tantog - 2023 - Edukasiana: Jurnal Inovasi Pendidikan 2 (4):237-250.
    Discipline and interest are aspects of parenting that affect children’s behavior and academic performance. This study explores the parents’ disciplinary strategies to promote children’s learning interests. The researchers conducted this study due to society’s issue and observation that elementary pupils have a low interest in learning and manifested inappropriate behaviors inside and outside the classroom. The participants were the ten selected parents with children enrolled in 5th Grade in one of the private Catholic elementary schools in Pagadian City, (...)
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  24. Abnormal Ventromedial Prefrontal Cortex Function in Children With Psychopathic Traits During Reversal Learning.Elizabeth C. Finger, Abigail A. Marsh, Derek G. Mitchell, Marguerite E. Reid, Courtney Sims, Salima Budhani, David S. Kosson, Gang Chen, Kenneth E. Towbin, Ellen Leibenluft, Daniel S. Pine & James R. Blair - 2008 - Archives of General Psychiatry 65: 586–594.
    Context — Children and adults with psychopathic traits and conduct or oppositional defiant disorder demonstrate poor decision making and are impaired in reversal learning. However, the neural basis of this impairment has not previously been investigated. Furthermore, despite high comorbidity of psychopathic traits and attention deficit/hyperactivity disorder, to our knowledge, no research has attempted to distinguish neural correlates of childhood psychopathic traits and attention-deficit/hyperactivity disorder. Objective—To determine the neural regions that underlie the reversal learning impairments in children with (...)
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  25. New Prospects for Aesthetic Hedonism.Mohan Matthen - 2018 - In Jennifer A. Mcmahon (ed.), Social Aesthetics and Moral Judgment: Pleasure, Reflection and Accountability. New York, USA: Routledge. pp. 13-33.
    Because culture plays a role in determining the aesthetic merit of a work of art, intrinsically similar works can have different aesthetic merit when assessed in different cultures. This paper argues that a form of aesthetic hedonism is best placed to account for this relativity of aesthetic value. This form of hedonism is based on a functional account of aesthetic pleasure, according to which it motivates and enables mental engagement with artworks, and an account of pleasure-learning, in which it (...)
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  26. (1 other version)VIETNAMESE FOREIGN POLICY: MEMORY AND LEARNING IN THE DOI MOI ERA.Nicholas Chapman - 2018 - Dissertation, International University of Japan
    Ever since 1988, Vietnam has successfully diversified and multilateralised its relationships, whilst placing a strong degree of focus on integration into the international political economy. This multidirectional foreign policy is designed to contribute to a peaceful international environment and a stable domestic one in order to promote economic growth and build up the aggregate strength of the country. At the same time, it is designed to boost the country’s autonomy, protect its sovereignty and territorial integrity, as well as hedge against (...)
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  27. One decade of universal artificial intelligence.Marcus Hutter - 2012 - In Pei Wang & Ben Goertzel (eds.), Theoretical Foundations of Artificial General Intelligence. Springer. pp. 67--88.
    The first decade of this century has seen the nascency of the first mathematical theory of general artificial intelligence. This theory of Universal Artificial Intelligence (UAI) has made significant contributions to many theoretical, philosophical, and practical AI questions. In a series of papers culminating in book (Hutter, 2005), an exciting sound and complete mathematical model for a super intelligent agent (AIXI) has been developed and rigorously analyzed. While nowadays most AI researchers avoid discussing intelligence, the award-winning PhD thesis (Legg, 2008) (...)
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  28. The Shutdown Problem: Incomplete Preferences as a Solution.Elliott Thornley - manuscript
    I explain and motivate the shutdown problem: the problem of creating artificial agents that (1) shut down when a shutdown button is pressed, (2) don’t try to prevent or cause the pressing of the shutdown button, and (3) otherwise pursue goals competently. I then propose a solution: train agents to have incomplete preferences. Specifically, I propose that we train agents to lack a preference between every pair of different-length trajectories. I suggest a way to train such agents using reinforcement (...)
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  29. A pluralistic framework for the psychology of norms.Evan Westra & Kristin Andrews - 2022 - Biology and Philosophy 37 (5):1-30.
    Social norms are commonly understood as rules that dictate which behaviors are appropriate, permissible, or obligatory in different situations for members of a given community. Many researchers have sought to explain the ubiquity of social norms in human life in terms of the psychological mechanisms underlying their acquisition, conformity, and enforcement. Existing theories of the psychology of social norms appeal to a variety of constructs, from prediction-error minimization, to reinforcement learning, to shared intentionality, to domain-specific adaptations for norm (...)
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  30. Towards Shutdownable Agents via Stochastic Choice.Elliott Thornley, Alexander Roman, Christos Ziakas, Leyton Ho & Louis Thomson - 2024 - Global Priorities Institute Working Paper.
    Some worry that advanced artificial agents may resist being shut down. The Incomplete Preferences Proposal (IPP) is an idea for ensuring that doesn't happen. A key part of the IPP is using a novel 'Discounted REward for Same-Length Trajectories (DREST)' reward function to train agents to (1) pursue goals effectively conditional on each trajectory-length (be 'USEFUL'), and (2) choose stochastically between different trajectory-lengths (be 'NEUTRAL' about trajectory-lengths). In this paper, we propose evaluation metrics for USEFULNESS and NEUTRALITY. We use a (...)
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  31. Isbell Conjugacy for Developing Cognitive Science.Venkata Rayudu Posina, Posina Venkata Rayudu & Sisir Roy - manuscript
    What is cognition? Equivalently, what is cognition good for? Or, what is it that would not be but for human cognition? But for human cognition, there would not be science. Based on this kinship between individual cognition and collective science, here we put forward Isbell conjugacy---the adjointness between objective geometry and subjective algebra---as a scientific method for developing cognitive science. We begin with the correspondence between categorical perception and category theory. Next, we show how the Gestalt maxim is subsumed by (...)
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  32. Intelligent capacities in artificial systems.Atoosa Kasirzadeh & Victoria McGeer - 2023 - In William A. Bauer & Anna Marmodoro (eds.), Artificial Dispositions: Investigating Ethical and Metaphysical Issues. New York: Bloomsbury.
    This paper investigates the nature of dispositional properties in the context of artificial intelligence systems. We start by examining the distinctive features of natural dispositions according to criteria introduced by McGeer (2018) for distinguishing between object-centered dispositions (i.e., properties like ‘fragility’) and agent-based abilities, including both ‘habits’ and ‘skills’ (a.k.a. ‘intelligent capacities’, Ryle 1949). We then explore to what extent the distinction applies to artificial dispositions in the context of two very different kinds of artificial systems, one based on rule-based (...)
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  33. Toward biologically plausible artificial vision.Mason Westfall - 2023 - Behavioral and Brain Sciences 46:e290.
    Quilty-Dunn et al. argue that deep convolutional neural networks (DCNNs) optimized for image classification exemplify structural disanalogies to human vision. A different kind of artificial vision – found in reinforcement-learning agents navigating artificial three-dimensional environments – can be expected to be more human-like. Recent work suggests that language-like representations substantially improves these agents’ performance, lending some indirect support to the language-of-thought hypothesis (LoTH).
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  34. A lesson from subjective computing: autonomous self-referentiality and social interaction as conditions for subjectivity.Patrick Grüneberg & Kenji Suzuki - 2013 - AISB Proceedings 2012:18-28.
    In this paper, we model a relational notion of subjectivity by means of two experiments in subjective computing. The goal is to determine to what extent a cognitive and social robot can be regarded to act subjectively. The system was implemented as a reinforcement learning agent with a coaching function. To analyze the robotic agent we used the method of levels of abstraction in order to analyze the agent at four levels of abstraction. At one level the agent (...)
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  35. Large Language Models: Assessment for Singularity.R. Ishizaki & Mahito Sugiyama - manuscript
    The potential for Large Language Models (LLMs) to attain technological singularity—the point at which artificial intelligence (AI) surpasses human intellect and autonomously improves itself—is a critical concern in AI research. This paper explores the feasibility of current LLMs achieving singularity by examining the philosophical and practical requirements for such a development. We begin with a historical overview of AI and intelligence amplification, tracing the evolution of LLMs from their origins to state-of-the-art models. We then proposes a theoretical framework to assess (...)
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  36. There is no general AI.Jobst Landgrebe & Barry Smith - 2020 - arXiv.
    The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this very ability (...)
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  37. TOWARDS A WITTGENSTEINEAN LADDER FOR THE UNIVERSAL VIRTUAL CLASSROOM (UVC).Bernhard Heiden, Bianca Tonino-Heiden & Monika Decleva - 2020 - In Sandra Lisa Lattacher & Daniela Krainer (eds.), Proceedings of SMART LIVING FORUM 2019 - 14 November 2019, Villach, Austria. pp. 71-77.
    The aim of this work is to move from the foreign dominated to the self-dominated by encouraging people to draw their own conclusions with the help of own rational consideration. Here a room as an environment that is encouraging innovation, which can be denoted as “Innovation Lab”, and making processes as can be regarded as “Smart Lab” is an essential base. The question related to this generalized self-organizational learning method investigated in our paper is how a UVC, which is (...)
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  38. Self-Assembling Networks.Jeffrey A. Barrett, Brian Skyrms & Aydin Mohseni - 2019 - British Journal for the Philosophy of Science 70 (1):1-25.
    We consider how an epistemic network might self-assemble from the ritualization of the individual decisions of simple heterogeneous agents. In such evolved social networks, inquirers may be significantly more successful than they could be investigating nature on their own. The evolved network may also dramatically lower the epistemic risk faced by even the most talented inquirers. We consider networks that self-assemble in the context of both perfect and imperfect communication and compare the behaviour of inquirers in each. This provides a (...)
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  39. An Analysis of the Interaction Between Intelligent Software Agents and Human Users.Christopher Burr, Nello Cristianini & James Ladyman - 2018 - Minds and Machines 28 (4):735-774.
    Interactions between an intelligent software agent and a human user are ubiquitous in everyday situations such as access to information, entertainment, and purchases. In such interactions, the ISA mediates the user’s access to the content, or controls some other aspect of the user experience, and is not designed to be neutral about outcomes of user choices. Like human users, ISAs are driven by goals, make autonomous decisions, and can learn from experience. Using ideas from bounded rationality, we frame these interactions (...)
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  40. The Priority of Preferences in the Evolution of Minds.David Spurrett - manuscript
    More philosophical effort is spent articulating evolutionary rationales for the development of belief-like capacities than for precursors of desires or preferences. Nobody, though, seriously expects naturally evolved minds to be disinterested epistemologists. We agree that world-representing states won’t pay their way without supporting capacities that prioritise from an organism’s available repertoire of activities in light of stored (and occurrent) information. Some concede that desire-like states would be one way of solving this problem. Taking preferences as my starting point instead of (...)
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  41. What Can Artificial Intelligence Do for Scientific Realism?Petr Spelda & Vit Stritecky - 2020 - Axiomathes 31 (1):85-104.
    The paper proposes a synthesis between human scientists and artificial representation learning models as a way of augmenting epistemic warrants of realist theories against various anti-realist attempts. Towards this end, the paper fleshes out unconceived alternatives not as a critique of scientific realism but rather a reinforcement, as it rejects the retrospective interpretations of scientific progress, which brought about the problem of alternatives in the first place. By utilising adversarial machine learning, the synthesis explores possibility spaces of (...)
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  42. Pragmatist Ethics and Climate Change [preprint].Steven Fesmire - 2020 - In Dale E. Miller & Ben Eggleston (eds.), Moral Theory and Climate Change: Ethical Perspectives on a Warming Planet. London, UK: Routledge. pp. Ch. 11.
    This chapter explores some features of pragmatic pluralism as an ethical perspective on climate change. It is inspired in part by Andrew Light’s work on climate diplomacy as U.S. Assistant Secretary of Energy for International Affairs, and by Bryan Norton’s environmental pragmatism, while drawing more explicitly than Light or Norton from classical pragmatist sources such as John Dewey. The primary aim of the chapter is to characterize, differentiate, and advance a general pragmatist approach to climate ethics. The main line of (...)
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  43. Affording Sustainability: Adopting a Theory of Affordances as a Guiding Heuristic for Environmental Policy.O. Kaaronen Roope - 2017 - Frontiers in Psychology 8.
    Human behavior is an underlying cause for many of the ecological crises faced in the 21st century, and there is no escaping from the fact that widespread behavior change is necessary for socio-ecological systems to take a sustainable turn. Whilst making people and communities behave sustainably is a fundamental objective for environmental policy, behavior change interventions and policies are often implemented from a very limited non-systemic perspective. Environmental policy-makers and psychologists alike often reduce cognition ‘to the brain,’ focusing only to (...)
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  44. From Biological Synapses to "Intelligent" Robots.Birgitta Dresp-Langley - 2022 - Electronics 11:1-28.
    This selective review explores biologically inspired learning as a model for intelligent robot control and sensing technology on the basis of specific examples. Hebbian synaptic learning is discussed as a functionally relevant model for machine learning and intelligence, as explained on the basis of examples from the highly plastic biological neural networks of invertebrates and vertebrates. Its potential for adaptive learning and control without supervision, the generation of functional complexity, and control architectures based on self-organization is (...)
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  45. Wittgenstein, Modern Music, and the Myth of Progress.Eran Guter - 2017 - In Niiniluoto Ilkka & Wallgren Thomas (eds.), On the Human Condition – Essays in Honour of Georg Henrik von Wright’s Centennial Anniversary, Acta Philosophica Fennica vol. 93. Societas Philosophica Fennica. pp. 181-199.
    Georg Henrik von Wright was not only the first interpreter of Wittgenstein, who argued that Spengler’s work had reinforced and helped Wittgenstein to articulate his view of life, but also the first to consider seriously that Wittgenstein’s attitude to his times makes him unique among the great philosophers, that the philosophical problems which Wittgenstein was struggling, indeed his view of the nature of philosophy, were somehow connected with features of our culture or civilization. -/- In this paper I draw inspiration (...)
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  46. Pedagogies of Reflection: Dialogical Professional-Development Schools in Israel.Arie Kizel - 2014 - Advances in Research on Teaching 22:113 – 136.
    This chapter discusses a form of pedagogy of reflection suggested to be defined as the dialogical-reflective professional-development school (DRPDS)  a framework that develops and empowers students by engaging them in a process of continual improvement, responding to diverse situations, providing stimuli for learning, and giving anchors for mediation. The pedagogy of reflection relates to dialogue not only from a theoretical historical context but also by way of example  that is, it offers empowering dialogues within the traditional teacher-training (...)
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  47. Factors Affecting MAPEH Students’ Performance in Integrated Art Education.Louie Gula, Joan M. E. Bonganciso, Ma Cristina C. Senoran, Shiella M. B. Gorge & Kevin R. Sumayang - 2022 - Journal of Teacher Education and Research 17 (1):1-6.
    This study aims to find out the factors that hinder students in learning Integrated Art Education. A descriptive research design was utilized in the conduct of the study. The researcher prepared a questionnaire with 15 closed-ended- questions that could be answered objectively. The study discovered that the students would learn more when they feel that they belong to a certain group. Interests in a subject also matter, the more you are interested in a particular subject, the more you will (...)
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  48. Fantasies of Forgetting Our Mother Tongue.Rachel Aumiller - 2019 - Journal of Speculative Philosophy 33 (3):368-380.
    In the Confessions, Augustine speculates that before we are aware of language, we learn our mother tongue through our mother's touch. These early lessons in language are first taught through a gentle touch: the nipple of the mother in the mouth of the infant. Language is later reinforced by a violent touch: the schoolmaster's switch. Augustine suggests that any memory of a time before the touch of language is purely imaginary. Nevertheless, his autobiography attempts to return to a time before (...)
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  49. Nietzsche on the Re-naturalization of Humanity in Thus Spoke Zarathustra.Kaitlyn Creasy - 2022 - In Keith Ansell-Pearson & Paul S. Loeb (eds.), Cambridge Critical Guide to Nietzsche's 'Thus Spoke Zarathustra'. Cambridge University Press.
    In this chapter, I contend that Nietzsche’s robust critiques of human exceptionalism and the “humanization of nature [Vermenschlichung der Natur]”, as well as his positive, proto-ecocentric vision of the “naturalization of humanity [Vernatürlichung des Menschen]”, afford contemporary environmental philosophy a novel perspective from which to critique anthropocentric conservation ideologies (according to which nature conservation ought to be motivated by the interests and aims of humanity, especially economic development and prosperity). Importantly, I also argue that Thus Spoke Zarathustra is the work (...)
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  50. Decolonial AI as Disenclosure.Warmhold Jan Thomas Mollema - 2024 - Open Journal of Social Sciences 12 (2):574-603.
    The development and deployment of machine learning and artificial intelligence (AI) engender “AI colonialism”, a term that conceptually overlaps with “data colonialism”, as a form of injustice. AI colonialism is in need of decolonization for three reasons. Politically, because it enforces digital capitalism’s hegemony. Ecologically, as it negatively impacts the environment and intensifies the extraction of natural resources and consumption of energy. Epistemically, since the social systems within which AI is embedded reinforce Western universalism by imposing Western colonial values (...)
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