This is the first work to apply complex systems science to the psychological interplay of order and chaos. The author draws on thought from a wide range of disciplines-both conventional and unorthodox-to address such questions as the nature of consciousness, the relation between mind and reality, and the justification of belief systems. The material should provoke thought among systems scientists, theoretical psychologists, artificial intelligence researchers, and philosophers.

“Only a small community has concentratedon general intelligence. No one has tried to make a thinking machine... The bottom line is that we really haven’t progressed too far toward a truly intelligent machine. We have collections of dumb specialists in small domains; the true majesty of general intelligence still awaits our attack.... We have got to get back to the deepest questions of AI and general intelligence... ” –MarvinMinsky as interviewed in Hal’s Legacy, edited by David Stork, 2000. Our goal (...) in creating this edited volume has been to?ll an apparent gap in the scienti?c literature, by providing a coherent presentation of a body of contemporary research that, in spite of its integral importance, has hitherto kept a very low pro?le within the scienti?c and intellectual community. This body of work has not been given a name before; in this book we christen it “Arti?cial General Intelligence”. What distinguishes AGI work from run-of-the-mill “arti?cial intelligence” research is that it is explicitly focused on engineering general intelligence in the short term. We have been active researchers in the AGI?eld for many years, and it has been a pleasure to gather together papers from our colleagues working on related ideas from their own perspectives. In the Introduction we give a conceptual overview of the AGI?eld, and also summarize and interrelate the key ideas of the papers in the subsequent chapters. (shrink)

While it seems unlikely that any method of guaranteeing human-friendliness on the part of advanced Artificial General Intelligence systems will be possible, this doesn’t mean the only alternatives are throttling AGI development to safeguard humanity, or plunging recklessly into the complete unknown. Without denying the presence of a certain irreducible uncertainty in such matters, it is still sensible to explore ways of biasing the odds in a favorable way, such that newly created AI systems are significantly more likely than not (...) to be Friendly. Several potential methods of effecting such biasing are explored here, with a particular but non-exclusive focus on those that are relevant to open-source AGI projects, and with illustrative examples drawn from the OpenCog open-source AGI project. Issues regarding the relative safety of open versus closed approaches to AGI are discussed and then nine techniques for biasing AGIs in favor of Friendliness are presented: 1. Engineer the capability to acquire integrated ethical knowledge.2. Provide rich ethical interaction and instruction, respecting developmental stages.3. Develop stable, hierarchical goal systems.4. Ensure that the early stages of recursive self-improvement occur relatively slowly and with rich human involvement.5. Tightly link AGI with the Global Brain.6. Foster deep, consensus-building interactions between divergent viewpoints.7. Create a mutually supportive community of AGIs.8. Encourage measured co-advancement of AGI software and AGI ethics theory.9. Develop advanced AGI sooner not later. In conclusion, and related to the final point, we advise the serious co-evolution of functional AGI systems and AGI-related ethical theory as soon as possible, before we have so much technical infrastructure that parties relatively unconcerned with ethics are able to rush ahead with brute force approaches to AGI development. (shrink)

Chalmers suggests that, if a Singularity fails to occur in the next few centuries, the most likely reason will be 'motivational defeaters' i.e. at some point humanity or human-level AI may abandon the effort to create dramatically superhuman artificial general intelligence. Here I explore one plausible way in which that might happen: the deliberate human creation of an 'AI Nanny' with mildly superhuman intelligence and surveillance powers, designed either to forestall Singularity eternally, or to delay the Singularity until humanity more (...) fully understands how to execute a Singularity in a positive way. It is suggested that as technology progresses, humanity may find the creation of an AI Nanny desirable as a means of protecting against the destructive potential of various advanced technologies such as AI, nanotechnology and synthetic biology. (shrink)

First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.

Oxford philosopher Nick Bostrom; in his recent and celebrated book Superintelligence; argues that advanced AI poses a potentially major existential risk to humanity; and that advanced AI development should be heavily regulated and perhaps even restricted to a small set of government-approved researchers. Bostrom’s ideas and arguments are reviewed and explored in detail; and compared with the thinking of three other current thinkers on the nature and implications of AI: Eliezer Yudkowsky of the Machine Intelligence Research Institute ; and David (...) Weinbaum and Viktoras Veitas of the Global Brain Institute. Relevant portions of Yudkowsky’s book Rationality: From AI to Zombies are briefly reviewed; and it is found that nearly all the core ideas of Bostrom’s work appeared previously or concurrently in Yudkowsky’s thinking. However; Yudkowsky often presents these shared ideas in a more plain-spoken and extreme form; making clearer the essence of what is being claimed. For instance; the elitist strain of thinking that one sees in the background in Bostrom is plainly and openly articulated in Yudkowsky; with many of the same practical conclusions. Bostrom and Yudkowsky view intelligent systems through the lens of reinforcement learning – they view them as “reward-maximizers” and worry about what happens when a very powerful and intelligent reward-maximizer is paired with a goal system that gives rewards for achieving foolish goals like tiling the universe with paperclips. Weinbaum and Veitas’s recent paper “Open-Ended Intelligence” presents a starkly alternative perspective on intelligence; viewing it as centered not on reward maximization; but rather on complex self-organization and self-transcending development that occurs in close coupling with a complex environment that is also ongoingly self-organizing; in only partially knowable ways. It is concluded that Bostrom and Yudkowsky’s arguments for existential risk have some logical foundation; but are often presented in an exaggerated way. For instance; formal arguments whose implication is that the “worst case scenarios” for advanced AI development are extremely dire; are often informally discussed as if they demonstrated the likelihood; rather than just the possibility; of highly negative outcomes. And potential dangers of reward-maximizing AI are taken as problems with AI in general; rather than just as problems of the reward-maximization paradigm as an approach to building superintelligence. If one views past; current; and future intelligence as “open-ended;” in the vernacular of Weaver and Veitas; the potential dangers no longer appear to loom so large; and one sees a future that is wide-open; complex and uncertain; just as it has always been. (shrink)

A novel theory of reflective consciousness, will and self is presented, based on modeling each of these entities using self-referential mathematical structures called hypersets. Pattern theory is used to argue that these exotic mathematical structures may meaningfully be considered as parts of the minds of physical systems, even finite computational systems. The hyperset models presented are hypothesized to occur as patterns within the "moving bubble of attention" of the human brain and any roughly human-mind-like AI system. These ideas appear to (...) be compatible with both panpsychist and materialist views of consciousness, and probably other views as well. Their relationship with the CogPrime AI design and its implementation in the OpenCog software framework is elucidated in detail. (shrink)

Two theses are proposed; regarding the future evolution of the value systems of advanced AGI systems. The Value Learning Thesis is a semi-formalized version of the idea that; if an AGI system is taught human values in an interactive and experiential way as its intelligence increases toward human level; it will likely adopt these human values in a genuine way. The Value Evolution Thesis is a semi-formalized version of the idea that if an AGI system begins with human-like values; and (...) then iteratively modifies itself; it will end up in roughly the same future states as a population of human beings engaged with progressively increasing their own intelligence. Taken together; these theses suggest a worldview in which raising young AGIs to have human-like values is a sensible thing to do; and likely to produce a future that is generally desirable in a human sense. While these two theses are far from definitively proven; I argue that they are more solid and more relevant to the actual future of AGI than Bostrom’s “Instrumental Convergence Thesis” and “Orthogonality Thesis” which are core to the basis of his argument for fearing ongoing AGI development and placing AGI R&D under strict governmental control. In the context of fleshing out this argument; previous publications and discussions by Richard Loosemore and Kaj Sotala are discussed in some detail. (shrink)

What will be the next huge leap in humanity's progress? We cannot know for sure, but I am reasonably confident that it will involve the radical extension of technology into the domain of thought. Ray Kurzweil (2000, 2005) has eloquently summarized the arguments in favor of this position.

Pei Wang, Ben Goertzel. [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [ 18] [19] [20] [21] [22] [23] [24] [25] [26] [27] Bach, J. (2009). Principles ofSynthetic Intelligence PSI: An Architecture ofMotivated Cognition (Oxford University Press,  ...

Images of mindis an exciting book, well-written and wellorganized, but many of the connections the authors draw between PET scan results and more general psychological issues are somewhat strained.

This chapter discusses nine ways to bias open‐source artificial general intelligence (AGI) toward friendliness. There is no way to guarantee that advanced AGI, once created and released into the world, will behave according to human ethical standards. The primary objective of the chapter is to suggest some potential ways to do so. First it discusses an engineer the capability to acquire integrated ethical knowledge, and provides rich ethical interaction and instruction, respecting developmental stages. The chapter creates stable, hierarchy‐dominated goal systems, (...) and ensures that the early stages of recursive self‐improvement occur relatively slowly and with rich human involvement. It tightly links AGI with the Global Brain, and focuses on foster deep, consensus‐building interactions and commensurability between divergent viewpoints. The chapter creates a mutually supportive community of AGIs, and encourages measured co‐advancement of AGI software and AGI ethics theory. Finally it develops advanced AGI sooner. (shrink)

Ideas from random graph theory are used to give an heuristic argument that associative memory structure depends discontinuously on pattern recognition ability. This argument suggests that there may be a certain minimal size for intelligent systems.

Leslie Kean’s Surviving Death is a wonderfully readable, carefully constructed summary of the evidence for the existence of what is colloquially called an “afterlife.” That is, she considers evidence for the hypothesis that individual human minds and personalities possess an existence going beyond their attachment to any particular body – so that, for instance, an individual with a certain name and certain traits may sometimes continue to perceive and act, even when the body typically associated with that individual is dead (...) and gone. Most of the book comprises moderately detailed descriptions of specific cases, involving specific people, which indicate the existence of some sort of “afterlife” for individual human minds, or potentially give some information regarding the nature of this afterlife. Kean considers a gamut of phenomena such as past-life memories, near-death experiences, mediumistic trances, poltergeists, and so forth. However, she also makes a significant effort to draw general conclusions, lessons and hypotheses from the totality of these cases, while maintaining respect for the confusing and in many ways still mysterious nature of the phenomena under discussion. Each of the topics considered in the book has been reviewed and analyzed in more depth elsewhere. What Kean does, however, is provide a clear, evocative and rational survey of the many types of evidence that are directly relevant to the possibility and nature of an afterlife for individual human minds. (shrink)

Akin''s determinism paradox involves a physical system that predicts its own behavior, and then spitefully defies it. Here this paradox is reformulated in purely computational language, in terms of virtual machines. The paradox is related to the theory of self-reproducing automata; and a mathematical conjecture is given which, if verified, would resolve the paradox.

0. 0 Psychology versus Complex Systems Science Over the last century, psychology has become much less of an art and much more of a science. Philosophical speculation is out; data collection is in. In many ways this has been a very positive trend. Cognitive science (Mandler, 1985) has given us scientific analyses of a variety of intelligent behaviors: short-term memory, language processing, vision processing, etc. And thanks to molecular psychology (Franklin, 1985), we now have a rudimentary understanding of the chemical (...) processes underlying personality and mental illness. However, there is a growing feeling-particularly among non-psychologists (see e. g. Sommerhoff, 1990) - that, with the new emphasis on data collection, something important has been lost. Very little attention is paid to the question of how it all fits together. The early psychologists, and the classical philosophers of mind, were concerned with the general nature of mentality as much as with the mechanisms underlying specific phenomena. But the new, scientific psychology has made disappointingly little progress toward the resolution of these more general questions. One way to deal with this complaint is to dismiss the questions themselves. After all, one might argue, a scientific psychology cannot be expected to deal with fuzzy philosophical questions that probably have little empirical signifi cance. It is interesting that behaviorists and cognitive scientists tend to be in agreement regarding the question of the overall structure of the mind. (shrink)

It has been proposed that natural selection occurs on a hierarchy of levels, of which the organismic level is neither the top nor the bottom. This hypothesis leads to the following practical problem: in general, how does one tell if a given phenomenon is a result of selection on level X or level Y. How does one tell what the units of selection actually are?It is convenient to assume that a unit of selection may be defined as a type of (...) entity for which there exists, among all entities on the same level as that entity, an additive component of variance for some specific component F of fitness which does not appear as an additive component of variance in any decomposition of this F among entities at any lower level. But such a definition implicitly assumes that if f(x, y) depends nonadditively on its arguments, there must be interaction between the quantities which x and y represent. This assumption is incorrect. And one cannot avoid this error by speaking of transformability to additivity instead of merely additivity. (shrink)

Safeguarding GenAI models against threats and aligning them with security requirements is imperative yet challenging. This chapter provides an overview of the security landscape for generative models. It begins by elucidating common vulnerabilities and attack vectors, including adversarial attacks, model inversion, backdoors, data extraction, and algorithmic bias. The practical implications of these threats are discussed, spanning domains like finance, healthcare, and content creation. The narrative then shifts to exploring mitigation strategies and innovative security paradigms. Differential privacy, blockchain-based provenance, quantum-resistant algorithms, (...) and human-guided reinforcement learning are analyzed as potential techniques to harden generative models. Broader ethical concerns surrounding transparency, accountability, deepfakes, and model interpretability are also addressed. The chapter aims to establish a conceptual foundation encompassing both the technical and ethical dimensions of security for generative AI. It highlights open challenges and lays the groundwork for developing robust, trustworthy, and human-centric solutions. The multifaceted perspective spanning vulnerabilities, implications, and solutions is intended to further discourse on securing society’s growing reliance on generative models. Frontier model security is discussed using Anthropic proposed approach. (shrink)

This book explores the revolutionary intersection of Generative AI (GenAI) and cybersecurity. It presents a comprehensive guide that intertwines theories and practices, aiming to equip cybersecurity professionals, CISOs, AI researchers, developers, architects and college students with an understanding of GenAI’s profound impacts on cybersecurity. The scope of the book ranges from the foundations of GenAI, including underlying principles, advanced architectures, and cutting-edge research, to specific aspects of GenAI security such as data security, model security, application-level security, and the emerging fields (...) of LLMOps and DevSecOps. It explores AI regulations around the globe, ethical considerations, the threat landscape, and privacy preservation. Further, it assesses the transformative potential of GenAI in reshaping the cybersecurity landscape, the ethical implications of using advanced models, and the innovative strategies required to secure GenAI applications. Lastly, the book presents an in-depth analysis of the security challenges and potential solutions specific to GenAI, and a forward-looking view of how it can redefine cybersecurity practices. By addressing these topics, it provides answers to questions on how to secure GenAI applications, as well as vital support with understanding and navigating the complex and ever-evolving regulatory environments, and how to build a resilient GenAI security program. The book offers actionable insights and hands-on resources for anyone engaged in the rapidly evolving world of GenAI and cybersecurity. (shrink)

Claims concerning processes, claims of the form “xisφing”, have been the subject of renewed interest in recent years in the philosophy of action. However, this interest has frequently limited itself to noting certain formal features such claims have, and has not extended to a discussion of when they are true. This article argues that a claim of the form “xisφing” is true when what is happening withxis such that, if it is not interrupted, a φing will occur. It then applies (...) itself more directly to the case of action, arguing that when “xisφing” describesx's intentional action, it is true iffxis acting from a method she knows to be sufficient to φ, in the sense that if she is not interrupted in carrying out this method, she will φ. I use this criterion to argue that the carbon‐copier example Donald Davidson gives in “Intending” fails to refute Elizabeth Anscombe's claim that an agent who is φing intentionally knows that she is, because the agent in Davidson's example is not intentionally making the copies. (shrink)

Well-Being and Death addresses philosophical questions about death and the good life: what makes a life go well? Is death bad for the one who dies? How is this possible if we go out of existence when we die? Is it worse to die as an infant or as a young adult? Is it bad for animals and fetuses to die? Can the dead be harmed? Is there any way to make death less bad for us? Ben Bradley defends the (...) following views: pleasure, rather than achievement or the satisfaction of desire, is what makes life go well; death is generally bad for its victim, in virtue of depriving the victim of more of a good life; death is bad for its victim at times after death, in particular at all those times at which the victim would have been living well; death is worse the earlier it occurs, and hence it is worse to die as an infant than as an adult; death is usually bad for animals and fetuses, in just the same way it is bad for adult humans; things that happen after someone has died cannot harm that person; the only sensible way to make death less bad is to live so long that no more good life is possible. (shrink)

Philosophers of logic are particularly interested in understanding the aims, epistemology, and methodology of logic. This raises the question of how the philosophy of logic should go about these enquires. According to the practice-based approach, the most reliable method we have to investigate the methodology and epistemology of a research field is by considering in detail the activities of its practitioners. This holds just as true for logic as it does for the recognised empirical and abstract sciences. If we wish (...) to systematically understand the aims and epistemology of logic, we are best placed achieving this by looking at what logicians do, rather than reflecting upon the nature of logic itself. In this entry, we outline the motivations for a practice-based approach towards the philosophy of logic and highlight its advantages over more “top-down” approaches, which attempt to infer conclusions about the nature of logic and its methodology on the basis of traditional assumptions about knowledge, metaphysics, or logic itself. We end by addressing several prominent concerns raised against the practice-based approach. (shrink)

I argue that extant accounts of harm all fail to account for important desiderata, and that we should therefore jettison the concept when doing moral philosophy.

Some healthcare systems are said to be grounded in solidarity because healthcare is funded as a form of mutual support. This article argues that health care systems that are grounded in solidarity have the right to penalise some users who are responsible for their poor health. This derives from the fact that solidary systems involve both rights and obligations and, in some cases, those who avoidably incur health burdens violate obligations of solidarity. Penalties warranted include direct patient contribution to costs, (...) and lower priority treatment, but not typically full exclusion from the healthcare system. We also note two important restrictions on this argument. First, failures of solidary obligations can only be assumed under conditions that are conducive to sufficiently autonomous choice, which occur when patients are given ‘Golden Opportunities’ to improve their health. Second, because poor health does not occur in a social vacuum, an insistence on solidarity as part of healthcare is legitimate only if all members of society are held to similar standards of solidarity. We cannot insist upon, and penalise failures of, solidarity only for those who are unwell, and who cannot afford to evade the terms of public health. (shrink)

The philosophical study of well-being concerns what makes lives good for their subjects. It is now standard among philosophers to distinguish between two kinds of well-being: - lifetime well-being, i.e., how good a person's life was for him or her considered as a whole, and - temporal well-being, i.e., how well off someone was, or how they fared, at a particular moment in time or over a period of time longer than a moment but shorter than a whole life, say, (...) a day, month, year, or chapter of a life. Many theories have been offered of each of these kinds of well-being. A common view is that lifetime well-being is in some way constructed out of temporal well-being. This book argues that much of this literature is premised on a mistake. Lifetime well-being cannot be constructed out of temporal well-being, because there is no such thing as temporal well-being. The only genuine kind of well-being is lifetime well-being. The Passing of Temporal Well-Being will prove essential reading for professional philosophers, especially in moral and political philosophy. It will also be of interest to welfare economists and policy-makers who appeal to well-being. (shrink)

I argue that we can visually perceive others as seeing agents. I start by characterizing perceptual processes as those that are causally controlled by proximal stimuli. I then distinguish between various forms of visual perspective-taking, before presenting evidence that most of them come in perceptual varieties. In doing so, I clarify and defend the view that some forms of visual perspective-taking are “automatic”—a view that has been marshalled in support of dual-process accounts of mindreading.

According to hedonism about well-being, lives can go well or poorly for us just in virtue of our ability to feel pleasure and pain. Hedonism has had many advocates historically, but has relatively few nowadays. This is mainly due to three highly influential objections to it: The Philosophy of Swine, The Experience Machine, and The Resonance Constraint. In this paper, I attempt to revive hedonism. I begin by giving a precise new definition of it. I then argue that the right (...) motivation for it is the ‘experience requirement’ (i.e., that something can benefit or harm a being only if it affects the phenomenology of her experiences in some way). Next, I argue that hedonists should accept a felt-quality theory of pleasure, rather than an attitude-based theory. Finally, I offer new responses to the three objections. Central to my responses are (i) a distinction between experiencing a pleasure (i.e., having some pleasurable phenomenology) and being aware of that pleasure, and (ii) an emphasis on diversity in one’s pleasures. (shrink)

This paper defends the view, put roughly, that to think that p is to guess that p is the answer to the question at hand, and that to think that p rationally is for one’s guess to that question to be in a certain sense non-arbitrary. Some theses that will be argued for along the way include: that thinking is question-sensitive and, correspondingly, that ‘thinks’ is context-sensitive; that it can be rational to think that p while having arbitrarily low credence (...) that p; that, nonetheless, rational thinking is closed under entailment; that thinking does not supervene on credence; and that in many cases what one thinks on certain matters is, in a very literal sense, a choice. Finally, since there are strong reasons to believe that thinking just is believing, there are strong reasons to think that all this goes for belief as well. (shrink)

Strategies to increase influenza vaccination rates have typically targeted healthcare professionals and individuals in various high-risk groups such as the elderly. We argue that they should focus on increasing vaccination rates in children. Because children suffer higher influenza incidence rates than any other demographic group, and are major drivers of seasonal influenza epidemics, we argue that influenza vaccination strategies that serve to increase uptake rates in children are likely to be more effective in reducing influenza-related morbidity and mortality than those (...) targeting HCPs or the elderly. This is true even though influenza-related morbidity and mortality amongst children are low, except in the very young. Further, we argue that there are no decisive reasons to suppose that children-focused strategies are less ethically acceptable than elderly or HCP-focused strategies. (shrink)

Several critics of realist theories of political legitimacy have alleged that it possesses a problematic bias towards the status quo. This bias is thought to be reflected in the way in which these...

What is it for a life to be meaningful? In this article, I defend what I call Consequentialism about Meaning in Life, the view that one's life is meaningful at time t just in case one's surviving at t would be good in some way, and one's life was meaningful considered as a whole just in case the world was made better in some way for one's having existed.

Three plausible views—Presentism, Truthmaking, and Independence—form an inconsistent triad. By Presentism, all being is present being. By Truthmaking, all truth supervenes on, and is explained in terms of, being. By Independence, some past truths do not supervene on, or are not explained in terms of, present being. We survey and assess some responses to this.

Adaptive preference formation is the unconscious altering of our preferences in light of the options we have available. Jon Elster has argued that this is bad because it undermines our autonomy. I agree, but think that Elster's explanation of why is lacking. So, I draw on a richer account of autonomy to give the following answer. Preferences formed through adaptation are characterized by covert influence (that is, explanations of which an agent herself is necessarily unaware), and covert influence undermines our (...) autonomy because it undermines the extent to which an agent's preferences are ones that she has decided upon for herself. This answer fills the lacuna in Elster's argument. It also allows us to draw a principled distinction between adaptive preference formation and the closely related phenomenon of character planning. (shrink)

One prominent argument in international law and religious thought for abolishing capital punishment is that it violates individuals’ right to life. Notably, this _right-to-life argument_ emerged from normative and legal frameworks that recognize deadly force against aggressors as justified when necessary to stop their unjust threat of grave harm. Can capital punishment be necessary in this sense—and thus justified defensive killing? If so, the right-to-life argument would have to admit certain exceptions where executions are justified. Drawing on work by Hugo (...) Bedau, I identify a thought experiment where executions are justified defensive killing but explain why they cannot be in our world. A state’s obligations to its prisoners include the _obligation to use nonlethal incapacitation_ (ONI), which applies as long as prisoners pose no imminent threat. ONI precludes executions for reasons of future dangerousness. By subjecting the right-to-life argument to closer scrutiny, this article ultimately places it on firmer ground. (shrink)

There is significant controversy over whether patients have a ‘right not to know’ information relevant to their health. Some arguments for limiting such a right appeal to potential burdens on others that a patient’s avoidable ignorance might generate. This paper develops this argument by extending it to cases where refusal of relevant information may generate greater demands on a publicly funded healthcare system. In such cases, patients may have an ‘obligation to know’. However, we cannot infer from the fact that (...) a patient has an obligation to know that she does not also have a right not to know. The right not to know is held against medical professionals at a formal institutional level. We have reason to protect patients’ control over the information that they receive, even if in individual instances patients exercise this control in ways that violate obligations. (shrink)

Death has long been a pre-occupation of philosophers, and this is especially so today. The Oxford Handbook of Philosophy of Death collects 21 newly commissioned essays that cover current philosophical thinking of death-related topics across the entire range of the discipline. These include metaphysical topics--such as the nature of death, the possibility of an afterlife, the nature of persons, and how our thinking about time affects what we think about death--as well as axiological topics, such as whether death is bad (...) for its victim, what makes it bad to die, what attitude it is fitting to take towards death, the possibility of posthumous harm, and the desirability of immortality. The contributors also explore the views of ancient philosophers such as Aristotle, Plato and Epicurus on topics related to the philosophy of death, and questions in normative ethics, such as what makes killing wrong when it is wrong, and whether it is wrong to kill fetuses, non-human animals, combatants in war, and convicted murderers. With chapters written by a wide range of experts in metaphysics, ethics, and conceptual analysis, and designed to give the reader a comprehensive view of recent developments in the philosophical study of death, this Handbook will appeal to a broad audience in philosophy, particularly in ethics and metaphysics. (shrink)

A clear and provocative introduction to the ethics of COVID-19, suitable for university-level students, academics, and policymakers, as well as the general reader. It is also an original contribution to the emerging literature on this important topic. The author has made it available Open Access, so that it can be downloaded and read for free by all those who are interested in these issues. Key features include: -/- A neat organisation of the ethical issues raised by the pandemic. An exploration (...) of the many complex interconnections between these issues. A succinct case for a continued lockdown until we develop a vaccine. An original account of the Deep Moral Problem of the Pandemic, and a Revolutionary Argument for how we should change society post-pandemic. References to, and engagement with, many of the best writings on the pandemic so far (both in popular media and academic journals). -/- ISBN: 978-0-6489016-0-0. (shrink)

The Everyday Life Reader brings together a wide range of thinkers from Freud to Baudrillard with primary sources on everyday life such as the Mass Observation survey and key texts by Michel de Certeau and Henri Lefebvre, to provide a comprehensive resource on theories of everyday life. Ben Highmore's introduction surveys the development of thought about everyday life, setting theories in their social and historical context, and each themed section opens with an essay introducing the debates. Sections include: * Situating (...) the Everyday * Everyday Life and National Culture * Ethnography Near and Far * Reclamation Work * Everyday Things. (shrink)

An action is agentially perfect if and only if, if a person tries to perform it, they succeed, and, if a person performs it, they try to. We argue that trying itself is agentially perfect: if a person tries to try to do something, they try to do it; and, if a person tries to do something, they try to try to do it. We show how this claim sheds new light on the logical structure of intentional action, on the (...) question of whether basic actions are tryings, and on the notion of “options” in decision theory. On the way to these central ideas, we argue that a person can try to do something even if they believe it is impossible that they will succeed, that a person can try to do something even if they do not want to succeed, and that a person can try to do something even if they do not intend to succeed. (shrink)