Results for 'Animal Intelligence'

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  1. Building a Science of Animal Minds: Lloyd Morgan, Experimentation, and Morgan’s Canon.Grant Goodrich & Simon Fitzpatrick - 2017 - Journal of the History of Biology 50 (3):525-569.
    Conwy Lloyd Morgan (1852–1936) is widely regarded as the father of modern comparative psychology. Yet, Morgan initially had significant doubts about whether a genuine science of comparative psychology was even possible, only later becoming more optimistic about our ability to make reliable inferences about the mental capacities of non-human animals. There has been a fair amount of disagreement amongst scholars of Morgan’s work about the nature, timing, and causes of this shift in Morgan’s thinking. We argue that Morgan underwent two (...)
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  2. La cogitativa en Cornelio Fabro. Para una filosofía no dualista de la percepción.Juan Jose Sanguineti - 2014 - Studium. Filosofía y Teología (34):437-458.
    This paper considers the relevance of the theory of the cogitative power in Aquinas, as highlighted by Cornelio Fabro during his early research in the fourth decade of the past century, in contemporary neuropsychological studies, and particularly as a specific way of overcoming a dualistic approach in the psychology of perception. The thesis is coherent with an anthropological view based on the substantial unity between soul and body. As a consequence, the capacities of the cogitative faculty (estimative in animals) involve (...)
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  3. AI, Situatedness, Creativity, and Intelligence; or the Evolution of the Little Hearing Bones.Eric Dietrich - 1996 - J. Of Experimental and Theoretical AI 8 (1):1-6.
    Good sciences have good metaphors. Indeed, good sciences are good because they have good metaphors. AI could use more good metaphors. In this editorial, I would like to propose a new metaphor to help us understand intelligence. Of course, whether the metaphor is any good or not depends on whether it actually does help us. (What I am going to propose is not something opposed to computationalism -- the hypothesis that cognition is computation. Noncomputational metaphors are in vogue these (...)
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  4. Computation on Information, Meaning and Representations. An Evolutionary Approach (World Scientific 2011).Christophe Menant - 2011 - In Dodig-Crnkovic, Gordana & Mark Burgin (eds.), Information and Computation. World Scientific. pp. 255-286.
    Understanding computation as “a process of the dynamic change of information” brings to look at the different types of computation and information. Computation of information does not exist alone by itself but is to be considered as part of a system that uses it for some given purpose. Information can be meaningless like a thunderstorm noise, it can be meaningful like an alert signal, or like the representation of a desired food. A thunderstorm noise participates to the generation of meaningful (...)
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  5. Theory of Mind and Non-Human Intelligence.Brandon Tinklenberg - 2016 - Shakelford, T.K. And V.A.Weekes-Shakelford (Eds.) Encyclopedia of Evolutionary Psychological Science. Springer.
    Comparative cognition researchers have long been interested in the nature of nonhuman animal social capacities. One capacity has received prolonged attention: mindreading, or “theory of mind” as it’s also called, is often seen to be the ability to attribute mental states to others in the service of predicting and explaining behavior. This attention is garnered in no small measure from interest into what accounts for the distinctive features of human social cognition and what are the evolutionary origins of those (...)
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  6.  66
    Of Animals, Robots and Men.Christine Tiefensee & Johannes Marx - 2015 - Historical Social Research 40:70-91.
    Domesticated animals need to be treated as fellow citizens: only if we conceive of domesticated animals as full members of our political communities can we do justice to their moral standing—or so Sue Donaldson and Will Kymlicka argue in their widely discussed book Zoopolis. In this contribution, we pursue two objectives. Firstly, we reject Donaldson and Kymlicka’s appeal for animal citizenship. We do so by submitting that instead of paying due heed to their moral status, regarding animals as citizens (...)
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  7. Intelligence Via Ultrafilters: Structural Properties of Some Intelligence Comparators of Deterministic Legg-Hutter Agents.Samuel Alexander - 2019 - Journal of Artificial General Intelligence 10 (1):24-45.
    Legg and Hutter, as well as subsequent authors, considered intelligent agents through the lens of interaction with reward-giving environments, attempting to assign numeric intelligence measures to such agents, with the guiding principle that a more intelligent agent should gain higher rewards from environments in some aggregate sense. In this paper, we consider a related question: rather than measure numeric intelligence of one Legg- Hutter agent, how can we compare the relative intelligence of two Legg-Hutter agents? We propose (...)
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  8. Future Progress in Artificial Intelligence: A Survey of Expert Opinion.Vincent C. Müller & Nick Bostrom - 2016 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence. Springer. pp. 553-571.
    There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. (...)
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  9.  95
    Veganism, Animal Welfare, and Causal Impotence.Samuel J. M. Kahn - forthcoming - Journal of Animal Ethics.
    Proponents of the utilitarian animal welfare argument (AWA) for veganism maintain that it is reasonable to expect that adopting a vegan diet will decrease animal suffering. In this paper I argue otherwise. I maintain that (i) there are plausible scenarios in which refraining from meat-consumption will not decrease animal suffering; (ii) the utilitarian AWA rests on a false dilemma; and (iii) there are no reasonable grounds for the expectation that adopting a vegan diet will decrease animal (...)
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  10. Getting a Rise Out of Genetic Engineering.Massimo Pigliucci - 2013 - In John Huss (ed.), Planet of the Apes and Philosophy: Great Apes Think Alike. Open Court.
    What makes humans different from other animals, what humans are entitled to do to other species, whether time travel is possible, what limits should be placed on science and technology, the morality and practicality of genetic engineering—these are just some of the philosophical problems raised by Planet of the Apes. Planet of the Apes and Philosophy looks at all the deeper issues involved in the Planet of the Apes stories. It covers the entire franchise, from Pierre Boulle’s 1963 novel Monkey (...)
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  11. Our Tactile Brain Computed World and Platonic Brain Web Wikipedia.Jahan N. Schad (ed.) - 2016 - Charleston, USA: CreateSpace.
    It is not likely that we will ever convincingly know how and why we came to be on this planet; of course, this has never prevented inquisitive minds from pushing the frontiers of understanding and discovery further. Our origin is the subject of scientific theories and continuous inquiries with no end in sight, as the shells of related complexities are getting much harder to crack. Paraphrasing philosopher and historian Will Durant, a very few people are getting to know more and (...)
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  12. Shortcuts to Artificial Intelligence.Nello Cristianini - forthcoming - In Marcello Pelillo & Teresa Scantamburlo (eds.), Machines We Trust. MIT Press.
    The current paradigm of Artificial Intelligence emerged as the result of a series of cultural innovations, some technical and some social. Among them are apparently small design decisions, that led to a subtle reframing of the field’s original goals, and are by now accepted as standard. They correspond to technical shortcuts, aimed at bypassing problems that were otherwise too complicated or too expensive to solve, while still delivering a viable version of AI. Far from being a series of separate (...)
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  13.  44
    Veganism, (Almost) Harm-Free Animal Flesh, and Nonmaleficence: Navigating Dietary Ethics in an Unjust World.C. E. Abbate - 2019 - In Bob Fischer (ed.), Routledge Handbook of Animal Ethics.
    This is a chapter written for an audience that is not intimately familiar with the philosophy of animal consumption. It provides an overview of the harms that animals, the environment, and humans endure as a result of industrial animal agriculture, and it concludes with a defense of ostroveganism and a tentative defense of cultured meat.
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  14. Social Machinery and Intelligence.Nello Cristianini, James Ladyman & Teresa Scantamburlo - manuscript
    Social machines are systems formed by technical and human elements interacting in a structured manner. The use of digital platforms as mediators allows large numbers of human participants to join such mechanisms, creating systems where interconnected digital and human components operate as a single machine capable of highly sophisticated behaviour. Under certain conditions, such systems can be described as autonomous and goal-driven agents. Many examples of modern Artificial Intelligence (AI) can be regarded as instances of this class of mechanisms. (...)
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  15. AAAI: An Argument Against Artificial Intelligence.Sander Beckers - 2017 - In Vincent Müller (ed.), Philosophy and theory of artificial intelligence 2017. Berlin: Springer. pp. 235-247.
    The ethical concerns regarding the successful development of an Artificial Intelligence have received a lot of attention lately. The idea is that even if we have good reason to believe that it is very unlikely, the mere possibility of an AI causing extreme human suffering is important enough to warrant serious consideration. Others look at this problem from the opposite perspective, namely that of the AI itself. Here the idea is that even if we have good reason to believe (...)
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  16.  43
    Cost-Effectiveness in Animal Health: An Ethical Analysis.Govind Persad - 2019 - In Bob Fischer (ed.), Routledge Handbook of Animal Ethics. New York: Routledge.
    -/- This chapter evaluates the ethical issues that using cost-effectiveness considerations to set animal health priorities might present, and its conclusions are cautiously optimistic. While using cost-effectiveness calculations in animal health is not without ethical pitfalls, these calculations offer a pathway toward more rigorous priority-setting efforts that allow money spent on animal well-being to do more good. Although assessing quality of life for animals may be more challenging than in humans, implementing prioritization based on cost-effectiveness is less (...)
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  17. Science is Not Always “Self-Correcting” : Fact–Value Conflation and the Study of Intelligence.Nathan Cofnas - 2016 - Foundations of Science 21 (3):477-492.
    Some prominent scientists and philosophers have stated openly that moral and political considerations should influence whether we accept or promulgate scientific theories. This widespread view has significantly influenced the development, and public perception, of intelligence research. Theories related to group differences in intelligence are often rejected a priori on explicitly moral grounds. Thus the idea, frequently expressed by commentators on science, that science is “self-correcting”—that hypotheses are simply abandoned when they are undermined by empirical evidence—may not be correct (...)
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  18. Animal Rights: A Non‐Consequentialist Approach.Uriah Kriegel - 2013 - In K. Petrus & M. Wild (eds.), Animal Minds and Animal Ethics. Transcript.
    It is a curious fact about mainstream discussions of animal rights that they are dominated by consequentialist defenses thereof, when consequentialism in general has been on the wane in other areas of moral philosophy. In this paper, I describe an alternative, non‐consequentialist ethical framework and argue that it grants animals more expansive rights than consequentialist proponents of animal rights typically grant. The cornerstone of this non‐consequentialist framework is the thought that the virtuous agent is s/he who has the (...)
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  19. Classification of Global Catastrophic Risks Connected with Artificial Intelligence.Alexey Turchin & David Denkenberger - 2020 - AI and Society 35 (1):147-163.
    A classification of the global catastrophic risks of AI is presented, along with a comprehensive list of previously identified risks. This classification allows the identification of several new risks. We show that at each level of AI’s intelligence power, separate types of possible catastrophes dominate. Our classification demonstrates that the field of AI risks is diverse, and includes many scenarios beyond the commonly discussed cases of a paperclip maximizer or robot-caused unemployment. Global catastrophic failure could happen at various levels (...)
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  20. Editorial: Risks of General Artificial Intelligence.Vincent C. Müller - 2014 - Journal of Experimental and Theoretical Artificial Intelligence 26 (3):297-301.
    This is the editorial for a special volume of JETAI, featuring papers by Omohundro, Armstrong/Sotala/O’Heigeartaigh, T Goertzel, Brundage, Yampolskiy, B. Goertzel, Potapov/Rodinov, Kornai and Sandberg. - If the general intelligence of artificial systems were to surpass that of humans significantly, this would constitute a significant risk for humanity – so even if we estimate the probability of this event to be fairly low, it is necessary to think about it now. We need to estimate what progress we can expect, (...)
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  21. Pragmatic Interpretation and Signaler-Receiver Asymmetries in Animal Communication.Dorit Bar-On & Richard Moore - 2017 - In Kristin Andrews Jacob Beck (ed.), The Routledge Handbook of Philosophy of Animal Minds. Routledge. pp. 291-300.
    Researchers have converged on the idea that a pragmatic understanding of communication can shed important light on the evolution of language. Accordingly, animal communication scientists have been keen to adopt insights from pragmatics research. Some authors couple their appeal to pragmatic aspects of communication with the claim that there are fundamental asymmetries between signalers and receivers in non-human animals. For example, in the case of primate vocal calls, signalers are said to produce signals unintentionally and mindlessly, whereas receivers are (...)
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  22. Roots of Human Resistance to Animal Rights: Psychological and Conceptual Blocks.Steven James Bartlett - 2002 - Animal Law 8:143-176.
    A combined psychological-epistemological study of the blocks that stand in the way of the human recognition of the sentience and legal rights of non-human animals. Originally published in the Lewis and Clark law journal, Animal Law, and subsequently translated into German and into Portuguese.
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  23. Buddhism and Animal Ethics.Bronwyn Finnigan - 2017 - Philosophy Compass 12 (7):1-12.
    This article provides a philosophical overview of some of the central Buddhist positions and argument regarding animal welfare. It introduces the Buddha's teaching of ahiṃsā or non-violence and rationally reconstructs five arguments from the context of early Indian Buddhism that aim to justify its extension to animals. These arguments appeal to the capacity and desire not to suffer, the virtue of compassion, as well as Buddhist views on the nature of self, karma, and reincarnation. This article also considers how (...)
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  24. Animal Welfare at Home and in the Wild.Kyle Johannsen - 2016 - Animal Sentience 1 (7/10).
    In recent work, economist Yew-Kwang Ng suggests strategies for improving animal welfare within the confines of institutions such as the meat industry. Although I argue that Ng is wrong not to advocate abolition, I do find his position concerning wild animals to be compelling. Anyone who takes the interests of animals seriously should also accept a cautious commitment to intervention in the wild.
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  25. 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 (...)
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  26. A Multi-INT Semantic Reasoning Framework for Intelligence Analysis Support.Janssen Terry, Basik Herbert, Dean Mike & Barry Smith - 2010 - In L. Obrst, Terry Janssen & W. Ceusters (eds.), Ontologies and Semantic Technologies for the Intelligence Community. Amsterdam, The Netherlands: IOS Press. pp. 57-69.
    Lockheed Martin Corp. has funded research to generate a framework and methodology for developing semantic reasoning applications to support the discipline oflntelligence Analysis. This chapter outlines that framework, discusses how it may be used to advance the information sharing and integrated analytic needs of the Intelligence Community, and suggests a system I software architecture for such applications.
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  27.  54
    The Meaning of Animal Labour.Nicolas Delon - 2020 - In Charlotte Blattner, Kendra Coulter & Will Kymlicka (eds.), Animal Labour: A New Frontier of Interspecies Justice? Oxford: Oxford University Press. pp. 160-180.
    Proponents of humane or traditional husbandry, in contrast to factory farming, often argue that maintaining meaningful relationships with animals entails working with them. Accordingly, they argue that animal liberation is misguided, since it appears to entail erasing our relationships to animals and depriving both us and them of valuable opportunities to live together. This chapter offers a critical examination of defense of animal husbandry based on the value of labour, in particular the view that farm animals could be (...)
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  28. Komputer, Kecerdasan Buatan dan Internet: Filsafat Hubert L. Dreyfus tentang Produk Industri 3.0 dan Industri 4.0 (Computer, Artificial Intelligence and Internet: Dreyfus’s Philosophy on the Product of 3.0 and 4.0 Industries).Zainul Maarif - 2019 - Prosiding Paramadina Research Day.
    The content of this paper is an elaboration of Hubert L. Dreyfus’s philosophical critique of Artificial Intelligence (AI), computers and the internet. Hubert L. Dreyfus (1929-2017) is Ua SA philosopher and alumni of Harvard University who teach at the Massachusetts Institute of Technology (MIT) and University of California, Berkeley. He is a phenomenological philosopher who criticize computer researchers and the artificial intelligence community. In 1965, Dreyfus wrote an article for Rand Corporation titled “Alchemy and Artificial Intelligence” which (...)
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  29. Animal Suicide: An Account Worth Giving? Commentary on Peña-Guzmán on Animal Suicide.Irina Mikhalevich - 2018 - Animal Sentience 20 (19).
    Peña-Guzmán (2017) argues that empirical evidence and evolutionary theory compel us to treat the phenomenon of suicide as continuous in the animal kingdom. He defends a “continuist” account in which suicide is a multiply-realizable phenomenon characterized by self-injurious and self-annihilative behaviors. This view is problematic for several reasons. First, it appears to mischaracterize the Darwinian view that mind is continuous in nature. Second, by focusing only on surface-level features of behavior, it groups causally and etiologically disparate phenomena under a (...)
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  30. Social Intelligence: How to Integrate Research? A Mechanistic Perspective.Marcin Miłkowski - 2014 - Proceedings of the European Conference on Social Intelligence (ECSI-2014).
    Is there a field of social intelligence? Many various disciplines ap-proach the subject and it may only seem natural to suppose that different fields of study aim at explaining different phenomena; in other words, there is no spe-cial field of study of social intelligence. In this paper, I argue for an opposite claim. Namely, there is a way to integrate research on social intelligence, as long as one accepts the mechanistic account to explanation. Mechanistic inte-gration of different (...)
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  31. IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain.Barry Smith, Tatiana Malyuta, Ron Rudnicki, William Mandrick, David Salmen, Peter Morosoff, Danielle K. Duff, James Schoening & Kesny Parent - 2013 - In Proceedings of the Eighth International Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS), CEUR, vol. 1097. pp. 33-40.
    We describe on-going work on IAO-Intel, an information artifact ontology developed as part of a suite of ontologies designed to support the needs of the US Army intelligence community within the framework of the Distributed Common Ground System (DCGS-A). IAO-Intel provides a controlled, structured vocabulary for the consistent formulation of metadata about documents, images, emails and other carriers of information. It will provide a resource for uniform explication of the terms used in multiple existing military dictionaries, thesauri and metadata (...)
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  32. First Steps Towards an Ethics of Robots and Artificial Intelligence.John Tasioulas - 2019 - Journal of Practical Ethics 7 (1):61-95.
    This article offers an overview of the main first-order ethical questions raised by robots and Artificial Intelligence (RAIs) under five broad rubrics: functionality, inherent significance, rights and responsibilities, side-effects, and threats. The first letter of each rubric taken together conveniently generates the acronym FIRST. Special attention is given to the rubrics of functionality and inherent significance given the centrality of the former and the tendency to neglect the latter in virtue of its somewhat nebulous and contested character. In addition (...)
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  33. Animal Rights -‘One-of-Us-Ness’: From the Greek Philosophy Towards a Modern Stance.Sanjit Chakraborty - 2018 - Philosophy and Epistemology International Journal 1 (2):1-8.
    Animals, the beautiful creatures of God in the Stoic and especially in Porphyry’s sense, need to be treated as rational. We know that the Stoics ask for justice to all rational beings, but I think there is no significant proclamation from their side that openly talks in favour of animal’s justice. They claim the rationality of animals but do not confer any right to human beings. The later Neo-Platonist philosopher Porphyry magnificently deciphers this idea in his writing On Abstinence (...)
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  34. Utilitarianism and Animal Cruelty: Further Doubts.Davies Ben - 2016 - De Ethica 3 (3):5-19.
    Utilitarianism has an apparent pedigree when it comes to animal welfare. It supports the view that animal welfare matters just as much as human welfare. And many utilitarians support and oppose various practices in line with more mainstream concern over animal welfare, such as that we should not kill animals for food or other uses, and that we ought not to torture animals for fun. This relationship has come under tension from many directions. The aim of this (...)
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  35. Legg-Hutter Universal Intelligence Implies Classical Music is Better Than Pop Music for Intellectual Training.Samuel Alexander - 2019 - The Reasoner 13 (11):71-72.
    In their thought-provoking paper, Legg and Hutter consider a certain abstrac- tion of an intelligent agent, and define a universal intelligence measure, which assigns every such agent a numerical intelligence rating. We will briefly summarize Legg and Hutter’s paper, and then give a tongue-in-cheek argument that if one’s goal is to become more intelligent by cultivating music appreciation, then it is bet- ter to use classical music (such as Bach, Mozart, and Beethoven) than to use more recent pop (...)
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  36.  47
    The Future of Human-Artificial Intelligence Nexus and its Environmental Costs.Petr Spelda & Vit Stritecky - forthcoming - Futures.
    The environmental costs and energy constraints have become emerging issues for the future development of Machine Learning (ML) and Artificial Intelligence (AI). So far, the discussion on environmental impacts of ML/AI lacks a perspective reaching beyond quantitative measurements of the energy-related research costs. Building on the foundations laid down by Schwartz et al., 2019 in the GreenAI initiative, our argument considers two interlinked phenomena, the gratuitous generalisation capability and the future where ML/AI performs the majority of quantifiable inductive inferences. (...)
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  37.  42
    Animal Rights and the Duty to Harm: When to Be a Harm Causing Deontologist.C. E. Abbate - forthcoming - Journal for Ethics and Moral Philosophy.
    An adequate theory of rights ought to forbid the harming of animals (human or nonhuman) to promote trivial interests of humans, as is often done in the animal-user industries. But what should the rights view say about situations in which harming some animals is necessary to prevent intolerable injustices to other animals? I develop an account of respectful treatment on which, under certain conditions, it’s justified to intentionally harm some individuals to prevent serious harm to others. This can be (...)
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  38. Against Inefficacy Objections: The Real Economic Impact of Individual Consumer Choices on Animal Agriculture.Steven McMullen & Matthew C. Halteman - 2018 - Food Ethics 1 (4):online first.
    When consumers choose to abstain from purchasing meat, they face some uncertainty about whether their decisions will have an impact on the number of animals raised and killed. Consequentialists have argued that this uncertainty should not dissuade consumers from a vegetarian diet because the “expected” impact, or average impact, will be predictable. Recently, however, critics have argued that the expected marginal impact of a consumer change is likely to be much smaller or more radically unpredictable than previously thought. This objection (...)
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  39.  35
    Introduction to Routledge Handbook of Skill and Expertise.Carlotta Pavese - forthcoming - In Routledge Handbook of Skill and Expertise. Oxford, UK:
    The diverse and breathtaking intelligence of the human animal is often embodied in skills. People, throughout their lifetimes, acquire and refine a vast number of skills. And there seems to be no upper limit to the creativity and beauty expressed by them. Think, for instance, of Olympic gymnastics: the amount of strength, flexibility, and control required to perform even a simple beam routine amazes, startles, and delights. In addition to the sheer beauty of skill, performances at the pinnacle (...)
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  40. The Animal Ethics of Temple Grandin: A Protectionist Analysis.Andy Lamey - 2019 - Journal of Agricultural and Environmental Ethics (1):1-22.
    This article brings animal protection theory to bear on Temple Grandin’s work, in her capacity both as a designer of slaughter facilities and as an advocate for omnivorism. Animal protection is a better term for what is often termed animal rights, given that many of the theories grouped under the animal rights label do not extend the concept of rights to animals. I outline the nature of Grandin’s system of humane slaughter as it pertains to cattle. (...)
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  41. The Semantic Problem(s) with Research on Animal Mind‐Reading.Cameron Buckner - 2014 - Mind and Language 29 (5):566-589.
    Philosophers and cognitive scientists have worried that research on animal mind-reading faces a ‘logical problem’: the difficulty of experimentally determining whether animals represent mental states (e.g. seeing) or merely the observable evidence (e.g. line-of-gaze) for those mental states. The most impressive attempt to confront this problem has been mounted recently by Robert Lurz. However, Lurz' approach faces its own logical problem, revealing this challenge to be a special case of the more general problem of distal content. Moreover, participants in (...)
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  42. Intensive Animal Agriculture and Human Health.Jonathan Anomaly - 2020 - In Bob Fischer (ed.), Routledge Handbook of Animal Ethics. New York: Routledge.
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  43.  70
    Measuring the Intelligence of an Idealized Mechanical Knowing Agent.Samuel Alexander - forthcoming - Lecture Notes in Computer Science.
    We define a notion of the intelligence level of an idealized mechanical knowing agent. This is motivated by efforts within artificial intelligence research to define real-number intelligence levels of compli- cated intelligent systems. Our agents are more idealized, which allows us to define a much simpler measure of intelligence level for them. In short, we define the intelligence level of a mechanical knowing agent to be the supremum of the computable ordinals that have codes the (...)
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  44. Animal Geographies.Jennifer Wolch, Chris Wilbert & Jody Emel - 2002 - Society and Animals 10 (4):407-412.
    Geography, as a discipline, has provided significant leadership in explicating the history and cultural construction of human and nonhuman animal relations, as well as their gendered and racialized character and their economic embeddedness. This work must continue. There are wide areas of barely touched terrain in comparative cultural analyses, economies of animal bodies, and the geographical history of human-animal relations that need articulation and examination. The struggles between groups to create their “places,” livelihoods, and future visions also (...)
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  45. Are Plants Cognitive? A Reply to Adams.Miguel Segundo-Ortin & Paco Calvo - 2019 - Studies in History and Philosophy of Science Part A 73:64-71.
    According to F. Adams [this journal, vol. 68, 2018] cognition cannot be realized in plants or bacteria. In his view, plants and bacteria respond to the here-and-now in a hardwired, inflexible manner, and are therefore incapable of cognitive activity. This article takes issue with the pursuit of plant cognition from the perspective of an empirically informed philosophy of plant neurobiology. As we argue, empirical evidence shows, contra Adams, that plant behavior is in many ways analogous to animal behavior. This (...)
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  46. Animal Morality: What is the Debate About?Simon Fitzpatrick - 2017 - Biology and Philosophy 32 (6):1151-1183.
    Empirical studies of the social lives of non-human primates, cetaceans, and other social animals have prompted scientists and philosophers to debate the question of whether morality and moral cognition exists in non-human animals. Some researchers have argued that morality does exist in several animal species, others that these species may possess various evolutionary building blocks or precursors to morality, but not quite the genuine article, while some have argued that nothing remotely resembling morality can be found in any non-human (...)
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  47.  50
    The Pharmacological Significance of Mechanical Intelligence and Artificial Stupidity.Adrian Mróz - 2019 - Kultura I Historia 36 (2):17-40.
    By drawing on the philosophy of Bernard Stiegler, the phenomena of mechanical (a.k.a. artificial, digital, or electronic) intelligence is explored in terms of its real significance as an ever-repeating threat of the reemergence of stupidity (as cowardice), which can be transformed into knowledge (pharmacological analysis of poisons and remedies) by practices of care, through the outlook of what researchers describe equivocally as “artificial stupidity”, which has been identified as a new direction in the future of computer science and machine (...)
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  48. Necessary Conditions for Morally Responsible Animal Research.David Degrazia & Jeff Sebo - 2015 - Cambridge Quarterly of Healthcare Ethics 24 (4):420-430.
    In this paper, we present three necessary conditions for morally responsible animal research that we believe people on both sides of this debate can accept. Specifically, we argue that, even if human beings have higher moral status than nonhuman animals, animal research is morally permissible only if it satisfies (a) an expectation of sufficient net benefit, (b) a worthwhile-life condition, and (c) a no unnecessary-harm/qualified-basic-needs condition. We then claim that, whether or not these necessary conditions are jointly sufficient (...)
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  49. Beneficial Artificial Intelligence Coordination by Means of a Value Sensitive Design Approach.Steven Umbrello - 2019 - Big Data and Cognitive Computing 3 (1):5.
    This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used (...)
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  50. Coercive Paternalism and the Intelligence Continuum.Nathan Cofnas - 2020 - Behavioural Public Policy 4 (1):88-107.
    Thaler and Sunstein advocate 'libertarian paternalism'. A libertarian paternalist changes the conditions under which people act so that their cognitive biases lead them to choose what is best for themselves. Although libertarian paternalism manipulates people, Thaler and Sunstein say that it respects their autonomy by preserving the possibility of choice. Conly argues that libertarian paternalism does not go far enough, since there is no compelling reason why we should allow people the opportunity to choose to bring disaster upon themselves if (...)
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