This paper formalizes part of a well-known psychological model of emotions. In particular, the logical structure underlying the conditions that trigger emotions are studied and then hierarchically organized. The insights gained therefrom are used to guide a formalization of emotion triggers, which proceeds in three stages. The first stage captures the conditions that trigger emotions in a semiformal way, i.e., without committing to an underlying formalism and semantics. The second stage captures the main psychological notions used in the emotion model (...) in dynamic doxastic logic. The third stage introduces a BDI-based framework (belief–desire–intention) with achievement goals, which is used to firmly ground the preceding stages. The result is a formalization of emotion triggers for BDI agents with achievement goals. The idea of proceeding in these stages is to provide different levels of commitment to formalisms, so that it remains relatively easy to extend or replace the used formalisms without having to start from scratch. Finally, we show that the formalization renders properties of emotions that are in line with the psychological model on which it is based. (shrink)

Since it is desirable to be able to talk about rational agents forming attitudes toward their concrete agency, we suggest an introduction of doxastic, volitional, and intentional modalities into the multi-agent logic of deliberatively seeing to it that, dstit logic. These modalities are borrowed from the well-known BDI (belief-desire-intention) logic. We change the semantics of the belief and desire operators from a relational one to a monotonic neighbourhood semantic in order to handle ascriptions of conflicting but not inconsistent beliefs (...) and desires as being satisfiable. The proposed bdi-stit logic is defined with respect to branching time frames, and it is shown that this logic is a generalization of a bdi logic based on branching time possible worlds frames (but without temporal operators) and dstit logic. The new bdi-stit logic generalizes bdi and dstit logic in the sense that for any model of bdi or dstit logic, there is an equivalent bdi-stit model. (shrink)

In this paper we present some concepts and their relations that are necessary for modeling autonomous agents in an environment that is governed by some (social) norms. We divide the norms over three levels: the private level the contract level and the convention level. We show how deontic logic can be used to model the concepts and how the theory of speech acts can be used to model the generation of (some of) the norms. Finally we give some idea (...) about an agent architecture incorporating the social norms based on a BDI framework. (shrink)

The process of rationally revising beliefs in the light of new information is a topic of great importance and long-standing interest in artificial intelligence. Moreover, significant progress has been made in understanding the philosophical, logical, and computational foundations of belief revision. However, very little research has been reported with respect to the revision of other mental states, most notably propositional attitudes such as desires and intentions. In this paper, we present a first attempt to formulate a general framework for understanding (...) the revision of mental states. We develop an abstract belief-desire-intention model of agents, and introduce a notion of rationality for this model. We then present a series of formal postulates characterizing the processes of adding beliefs, desires, and intentions, updating costs and values, and removing beliefs, desires, and intentions. We also investigate the computational complexity of several problems involving the abstract model and comment on algorithms for revision. (shrink)

This book is an archetypal product of the Belief-Desire-Intention (BDI) school of multi-agent systems. It presents what is now the mainstream view as to the best way forward in the dream of engineering reliable software systems out of autonomous agents. The way of using formal logics to specify, implement and verify distributed systems of interacting units using a guiding analogy of beliefs, desires and intentions. The implicit message behind the book is this: Distributed Artificial Intelligence (DAI) can be a (...) respectable engineering science. It says: we use sound formal systems; can cite established philosophical foundations; and will be able to build reliable and flexible software systems. (shrink)

Although the change of beliefs in the face of new information has been widely studied with some success, the revision of other mental states has received little attention from the theoretical perspective. In particular, intentions are widely recognised as being a key attitude for rational agents, and while several formal theories of intention have been proposed in the literature, the logic of intention revision has been hardly considered. There are several reasons for this: perhaps most importantly, intentions are very (...) closely connected with other mental states—in particular, beliefs about the future and the abilities of the agent. So, we cannot study them in isolation. We must consider the interplay between intention revision and the revision of other mental states, which complicates the picture considerably. In this paper, we present some first steps towards a theory of intention revision. We develop a simple model of an agent’s mental states, and define intention revision operators. Using this model, we develop a logic of intention dynamics, and then investigate some of its properties. (shrink)

In this paper we apply a general account of practical reasoning to arguing about legal cases. In particular, we provide a reconstruction of the reasoning of the majority and dissenting opinions for a particular well-known case from property law. This is done through the use of Belief-Desire-Intention (BDI) agents to replicate the contrasting views involved in the actual decision. This reconstruction suggests that the reasoning involved can be separated into three distinct levels: factual and normative levels and a level (...) connecting the two, with conclusions at one level forming premises at the next. We begin by summarising our general approach, which uses instantiations of an argumentation scheme to provide presumptive justifications for actions, and critical questions to identify arguments which attack these justifications. These arguments and attacks are organised into argumentation frameworks to identify the status of individual arguments. We then discuss the levels of reasoning that occur in this reconstruction and the properties and significance of each of these levels. We illustrate the different levels with short examples and also include a discussion of the role of precedents within these levels of reasoning. (shrink)

This article describes an ontological model of norms. The basic assumption is that a substantial part of a legal system is grounded on the concept of agency. Since a legal system aims at regulating a society, then its goal can be achieved only by affecting the behaviour of the members of the society. We assume that a society is made up of agents (which can be individuals, institutions, software programs, etc.), that agents have beliefs, goals and preferences, and (...) that they commit to intentions in order to choose a line of behaviour. The role of norms, within a legal system, is to specify how and when the chosen behaviour agrees with the basic principles of the legal system. In this article, we show how a model based on plans can be the basis for the ontological representation of norms, which are expressed as constraints on the possible plans an agent may choose to guide its behaviour. Moreover, the paper describes how the proposed model can be linked to the upper level of a philosophically well-founded ontology (DOLCE); in this way, the model is set in a wider perspective, which opens the way to further developments. (shrink)

Rational agents are important objects of study in several research communities, including economics, philosophy, cognitive science, and most recently computer science and artificial intelligence. Crudely, a rational agent is an entity that is capable of acting on its environment, and which chooses to act in such a way as to further its own best interests. There has recently been much interest in the use of mathematical logic for developing formal theories of such agents. Such theories view agents (...) as practical reasoning systems, deciding moment by moment which action to perform next, given the beliefs they have about the world and their desires with respect to how they would like the world to be. In this article, we survey the state of the art in developing logical theories of rational agency. Following a discussion on the dimensions along which such theories can vary, we briefly survey the logical tools available in order to construct such theories. We then review and critically assess three of the best known theories of rational agency: Cohen and Levesque's intention logic, Rao and Georgeff's BDI logics, and the KARO framework of Meyer et al. We then discuss the various roles that such logics can play in helping us to engineer rational agents, and conclude with a discussion of open problems. (shrink)

A mechanism for planning ahead would appear to be essential to any creature with more than insect level intelligence. In this paper it is shown how planning, using full means-ends analysis, can be had while avoiding the so called symbol grounding problem. The key role of knowledge representation in intelligence has been acknowledged since at least the enlightenment, but the advent of the computer has made it possible to explore the limits of alternate schemes, and to explore the nature of (...) our everyday understanding of the world around us. In particular, artificial intelligence (AI) and robotics has forced a close examination, by people other than philosophers, of what it means to say for instance that "snow is white." One interpretation of the "new AI" is that it is questioning the need for representation altogether. Brooks and others have shown how a range of intelligent behaviors can be had without representation, and this paper goes one step further showing how intending to do things can be achieved without symbolic representation. The paper gives a concrete example of a mechanism in terms of robots that play soccer. It describes a belief, desire and intention (BDI) architecture that plans in terms of activities. The result is a situated agent that plans to do things with no more ontological commitment than the reactive systems Brooks described in his seminal paper, "Intelligence without Representation.". (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Commentary on “Towards a Design-Based Analysis of Emotional Episodes”Cristiano Castelfranchi (bio) and Maria Miceli (bio)Keywordsgrief, suffering, attachment, agent architectureThis paper is significant in many respects: its approach (the design-based analysis); its proposed architecture; its description of grief; and its self-control/perturbance theory. We would offer some remarks on each of these aspects.AI: Back to the FutureAfter some years of crisis, AI seems now to have recovered its original challenging attitude (...) and its identity. In particular all the original ambitions of AI have been renewed under the label of “autonomous agents” (see, for example, Russell and Norvig 1995; Wooldridge and Jennings 1995). This paper and its authors are good representatives of this challenging attitude. Of course, the AI appearing at century’s end is different from, say, the AI of the 1980s. AI systems and models are now conceived for reasoning and acting in open unpredictable worlds, with limited and uncertain knowledge, in real time, with bounded (both cognitive and material) resources, with hybrid architectures, interfering—either co-operatively or competitively—with other systems. The new password for the AI of the 1990s is interaction (Bobrow 1991): interaction with an evolving environment; among several, distributed and heterogeneous artificial systems in a network; with human users; and among humans through computers.This renewed AI, however different though it is in some ways, can be understood as returning to its original aim of modeling “intelligence”: not only static and isolated sub-functions of intelligence but the integrated and pragmatic functioning of autonomous agent architectures as against algorithms. Our renewed AI, based on architectures, can again have important exchanges with other (psychological and social) sciences. This paper is a good example of the fruitful cross-fertilization of ideas which may result from such exchanges. It was indeed just this which originally gave rise to cognitive science.The ArchitectureThe proposed architecture, although quite speculative, and—as the authors themselves emphasize—very much a first sketch, is directly relevant to this new AI. In fact, recent research efforts in the agent-architecture domain are focused exactly on the problem of “goal dynamics” [End Page 129] or “motive processing,” which is the core of this architecture, and on the problem of integrating reactivity and deliberation. Compared with current AI architectures (for example, BDI systems) it is important to note that this “motive-processing” architecture is not yet formalized or implemented to the same extent. On the other hand, it is more interesting from a psychological point of view, and is already able to give us some important insights into human emotions, in particular those emotions (like grief) that involve all or total loss of control of management processes.The Report-Based Analysis of GriefThe report-based description of grief provides a persuasive and rich basis for both modeling and discussing the model. The relevant features of this emotion are well characterized with reference to the self-control problem and motive-processing (though, as we shall see, to use grief as an example of those emotions that involve all or total loss of control of thought processes may provide a partially distorted view of grief itself). In particular, we would stress the relevance of the “intrusive” character of grief-related contents; the rejection of certain beliefs due to the psychic pain they cause; the coping strategies people describe; and the second order motivations related to the control of the emotional state. We believe that psychological models especially of these aspects are usually less specific and explanatory.Let us now try to synthesize some criticisms one could advance of this analysis. We will first address two core notions of the model—perturbance and self-control—and then consider more specifically the treatment of grief.PerturbanceThis notion is potentially very interesting, unless it is reduced to an information processing perspective (e.g., perturbance of attentive processes). An information processing perspective is much more limited than a motive-processing one—at least in the limitative sense of the term, as it is generally used in the psychology of cognitive processes—and is in our view insufficient for understanding human emotions and their role. This limiting interpretation of perturbance fails... (shrink)

In recent years, the human ability to reasoning about mental states of others in order to explain and predict their behavior has come to be a highly active area of research. Researchers from a wide range of fields { from biology and psychology through linguistics to game theory and logic{ contribute new ideas and results. This interdisciplinary workshop, collocated with the Thirteenth International Conference on Theoretical Aspects of Rationality and Knowledge (TARK XIII), aims to shed light on models of social (...) reasoning that take into account realistic resource bounds. People reason about other people's mental states in order to understand and predict the others' behavior. This capability to reason about others' knowledge, beliefs and intentions is often referred to as theory of mind. Idealized rational agents are capable of recursion in their social reasoning, and can reason about phenomena like common knowledge. Such idealized social reasoning has been modeled by modal logics such as epistemic logic and BDI (belief, desire, intention) logics and by epistemic game theory. However, in real-world situations, many people seem to lose track of such recursive social reasoning after only a few levels. The workshop provides a forum for researchers that attempt to analyze, understand and model how resource-bounded agents reason about other minds. (shrink)

Most of the theories on formalising intention interpret it as a unary modal operator in Kripkean semantics, which gives it a monotonic look. We argue that policy-based intentions exhibit non-monotonic behaviour which could be captured through a non-monotonic system like defeasible logic. To this end we outline a defeasible logic of intention. The proposed technique alleviates most of the problems related to logical omniscience. The proof theory given shows how our approach helps in the maintenance of intention-consistency in agent systems (...) like BDI. (shrink)

In this paper, we consider recent attempts to metaphysically explain agentive modality in terms of conditionals. We suggest that the best recent accounts face counterexamples, and more worryingly, they take some agentive modality for granted. In particular, the ability to perform basic actions features as a primitive in these theories. While it is perfectly acceptable for a semantics of agentive modal claims to take some modality for granted in getting the extension of action claims correct, a metaphysical explanation of agentive (...) modality cannot, at least not in the way that conditional approaches to agentive modality do. We argue that this problem was present even in the classical conditional analysis. By a pessimistic induction, we suggest that, probably, no conditional approach to agentive modality will succeed. (shrink)

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

In this chapter we reflect on questions about the nature and sources of agentive phenomenology – that is, the set of those experience-types associated with exercises of agency, and paradigmatically with intentional actions. Our discussion begins with pioneering work in psychology and neuroscience that dates to the early 80s (section 1). As we will see, much of the current work on agentive phenomenology in both psychology and philosophy draws motivation from this work, and the questions it raises. After discussing empirical (...) work relevant to agentive phenomenology, we turn to consideration of its nature. We cover questions about the scope of agentive phenomenology, about its relationship to other types of experiences (section 2.1), about the best way to characterize aspects of agentive phenomenology, and about the function of various types of agentive experience (section 2.2). (shrink)

Organizations have neither a right to the vote nor a weighty right to life. We need not enfranchise Goldman Sachs. We should feel few scruples in dissolving Standard Oil. But they are not without rights altogether. We can owe it to them to keep our promises. We can owe them debts of gratitude. Thus, we can owe some things to organizations. But we cannot owe them everything we can owe to people. They seem to have a peculiar, fragmented moral status. (...) What explains this? Individualistic views explain this in terms of individualistic notions alone. Such notions don’t invoke any distinctive features of organizations. They just invoke the features of individual members of organizations. Collectivistic views, instead, explain this in terms of collective notions alone. Such notions don’t invoke the features of individual members of organizations. They just invoke the features of those organizations. We argue that neither approach works. Instead, one needs to synthesize the two approaches. Some individual interests, we think, are distinctively collective. We, as individuals, have a distinctive interest in playing a part in successful collective action. From this, so we argue, flows the apparently peculiar, fragmented moral status of organizations. (shrink)

In the social sciences and in everyday speech we often talk about groups as if they behaved in the same way as individuals, thinking and acting as a singular being. We say for example that "Google intends to develop an automated car", "the U.S. Government believes that Syria has used chemical weapons on its people", or that "the NRA wants to protect the rights of gun owners". We also often ascribe legal and moral responsibility to groups. But could groups literally (...) intend things? Is there such a thing as a collective mind? If so, should groups be held morally responsible? Such questions are of vital importance to our understanding of the social world. In this lively, engaging introduction Deborah Tollefsen offers a careful survey of contemporary philosophers? answers to these questions, and argues for the unorthodox view that certain groups should, indeed, be treated as agents and deserve to be held morally accountable. Tollefsen explores the nature of belief, action and intention, and shows the reader how a belief in group agency can be reconciled with our understanding of individual agency and accountability. _Groups as Agents_ will be a vital resource for scholars as well as for students of philosophy and the social sciences encountering the topic for the first time. (shrink)

This article is part of a symposium on Alfred Mele’s Manipulated Agents: A Window to Moral Responsibility. It is Mele’s response to John Fischer, Ishtiyaque Haji, and Michael McKenna. Topics discussed include the bearing of manipulation on moral responsibility, the zygote argument, the importance of scenarios in which manipulators radically reverse an agent’s values, positive versus negative historical requirements for moral responsibility, the scope of moral responsibility, the value of intuitions, bullet-biting, and how we develop from neonates who are (...) not morally responsible for anything into morally responsible agents. A variety of scenarios featuring various kinds of manipulation are discussed. (shrink)

Abstract Agent-based virtue ethics is a unitary normative theory according to which the moral status of actions is entirely dependent upon the moral status of an agent's motives and character traits. One of the problems any such approach faces is to capture the common-sense distinction between an agent's doing the right thing, and her doing it for the right (or wrong) reason. In this paper I argue that agent-based virtue ethics ultimately fails to capture this kind of fine-grained distinction, and (...) to this extent ought to be rejected. I focus first on Michael Slote's agent-based theory, according to which the moral status of actions depends upon an agent's actual motives, and argue that this leads to a paradox. I then consider whether the ?counterfactual? version of agent-basing favoured by Rosalind Hursthouse and Linda Zagzebski fares any better, and conclude that it does not. (shrink)

Causal models of agents have been used to analyse the safety aspects of machine learning systems. But identifying agents is non-trivial -- often the causal model is just assumed by the modeler without much justification -- and modelling failures can lead to mistakes in the safety analysis. This paper proposes the first formal causal definition of agents -- roughly that agents are systems that would adapt their policy if their actions influenced the world in a different (...) way. From this we derive the first causal discovery algorithm for discovering agents from empirical data, and give algorithms for translating between causal models and game-theoretic influence diagrams. We demonstrate our approach by resolving some previous confusions caused by incorrect causal modelling of agents. (shrink)

How should we make sense of praise and blame and other such reactions towards collective agents like governments, universities, or corporations? Collective agents can be appropriate targets for our moral feelings and judgements because they can maintain and express moral positions of their own. Moral agency requires being capable of recognising moral considerations and reasons. It also necessitates the ability to react reflexively to moral matters, i.e. to take into account new moral concerns when they arise. While members (...) of a collective agent are capable of this, the collective frames the thinking of the individual moral agents within it and affects their options in myriad ways. The moral positions thus formed and expressed belong to the collective. Crucially, unlike marginal moral agents, collective agents as moral actors can be held fully responsible for their acts and omissions. (shrink)

This volume brings together contributions from leading researchers in the field of agent-based modelling and simulation. This approach has grown out of some recent and innovative ideas in the social sciences, computer sciences, life sciences, physics and game theory. It is proving helpful in understanding complexity in many domains. The opportunities it offers to explore the experimental approach to social and human behaviour is proving of theoretical and empirical value across a wide range of fields. With contributions from researchers whose (...) work has served to define this new field such as Nigel Gilbert, Robert Axtell (in economics and social science) and Jacques Ferber (in multi-agent systems), as well as practitioners who are working at the cutting edge of the new domain, this collection of essays has been assembled by two of its leading exponents: Frédéric Amblard and Denis Phan. The research, case studies and theoretical approaches discussed in this book are designed to introduce beginners and experts alike to the current state of play in this new and exciting field of social science. (shrink)

Discute a instrução pública a partir de seus agentes e os processos formativos de seleção, instrução, contratação, especialização e diferenciação que ao longo do tempo constituíram o professor contribuindo para a formação do cidadão e institucionalização da educação no Rio Grande do Sul.

Deep learning (DL) has become increasingly central to science, primarily due to its capacity to quickly, efficiently, and accurately predict and classify phenomena of scientific interest. This paper seeks to understand the principles that underwrite scientists’ epistemic entitlement to rely on DL in the first place and argues that these principles are philosophically novel. The question of this paper is not whether scientists can be justified in trusting in the reliability of DL. While today’s artificial intelligence exhibits characteristics common to (...) both scientific instruments and scientific experts, this paper argues that the familiar epistemic categories that justify belief in the reliability of instruments and experts are distinct, and that belief in the reliability of DL cannot be reduced to either. Understanding what can justify belief in AI reliability represents an occasion and opportunity for exciting, new philosophy of science. (shrink)

This study examines BDI logics in the context of Gabbay's fibring semantics. We show that dovetailing can be adopted as a semantic methodology to combine BDI logics. We develop a set of interaction axioms that can capture static as well as dynamic aspects of the mental states in BDI systems, using Catach's incestual schema G^[a, b, c, d]. Further we exemplify the constraints required on fibring function to capture the semantics of interactions among modalities. The advantages of having a fibred (...) approach is discussed in the final section. (shrink)

I discuss the realizability and the ethical ramifications of Machine Ethics, from a number of different perspectives: I label these the anthropocentric, infocentric, biocentric and ecocentric perspectives. Each of these approaches takes a characteristic view of the position of humanity relative to other aspects of the designed and the natural worlds—or relative to the possibilities of ‘extra-human’ extensions to the ethical community. In the course of the discussion, a number of key issues emerge concerning the relation between technology and ethics, (...) and the nature of what it is to have moral status. Some radical challenges to certain technological presuppositions and ramifications of the infocentric approach will be discussed. Notwithstanding the obvious tensions between the infocentric perspective on one side and the biocentric and ecocentric perspectives on the other, we will see that there are also striking parallels in the way that each of these three approaches generates challenges to an anthropocentric ethical hegemony, and possible scope for some degree of convergence. (shrink)

In Manipulated Agents, Alfred R. Mele examines the role one's history plays in whether or not one is morally responsible for one's actions. Mele develops a "history-sensitive" theory of moral responsibility through reflection on a wide range of thought experiments which feature agents who have been manipulated or designed in ways that directly affect their actions.

I argue for an intentional conception of representation in science that requires bringing scientific agents and their intentions into the picture. So the formula is: Agents (1) intend; (2) to use model, M; (3) to represent a part of the world, W; (4) for some purpose, P. This conception legitimates using similarity as the basic relationship between models and the world. Moreover, since just about anything can be used to represent anything else, there can be no unified ontology (...) of models. This whole approach is further supported by a brief exposition of some recent work in cognitive, or usage-based, linguistics. Finally, with all the above as background, I criticize the recently much discussed idea that claims involving scientific models are really fictions. (shrink)

This précis kicks off an invited symposium on Alfred R. Mele.

Humean Laws for Human Agents presents cutting-edge research by leading experts on the Humean account of laws, chance, possibility, and necessity. A central question in metaphysics and philosophy of science is: What are laws of nature? Humeans hold that laws are not sui generis metaphysical entities but merely particularly effective summaries of what actually happens. The most discussed recent work on Humeanism emphasizes the laws' usefulness for limited agents and uses pragmatic considerations to address fundamental and long-standing problems. (...) The current volume develops and critically examines pragmatic Humean accounts, with innovative new work on the epistemology of laws and chance, the problem of induction, counterfactuals, special science laws, and a Humean account of essence. Taken together, the papers provide a roadmap for developing pragmatic Humeanism and connate views, setting the agenda for future research. (shrink)

In this paper, I defend the agent/patient distinction against critics who argue that causal interactions are symmetrical. Specifically, I argue that there is a widespread type of causal interaction between distinct entities, resulting in a type of ontological asymmetry that provides principled grounds for distinguishing agents from patients. The type of interaction where the asymmetry is found is when one of the entities undergoes a change in kind, structure, powers, or intrinsic properties as a result of the interaction while (...) the other does not. Interactions of this type are widespread in molecular biology and chemistry. I focus specifically on (i) the actions of enzymes on substrates and (ii) water molecules breaking the bonds of polarized molecules. Finally, I respond to objections by laying out and to a limited extent defending three commitments of my account: emergent entities and powers, realism about chemical kinds or structures, and the assumption of the agent/patient distinction in functional attributions in biology. (shrink)

In this essay, I argue that any competent group agent must be a wanton. The impetus for this claim is an argument Arthur Applbaum makes in Legitimacy: The Right to Rule in a Wanton World that a formal institution (in this case, a government) can, under the right conditions, function as a free moral group agent. I begin by explaining Harry Frankfurt’s classic account of wantonism—not just for the benefit of readers who might not be familiar with the concept, but (...) also to emphasize aspects of the concept relevant for the consideration of group agency. I then draw on the contemporary literature on group agency to argue that any successful group agent will be a wanton. I then turn to Applbaum’s account of group agency to argue that his proposed mechanisms for free moral group agency do not successfully overcome the challenge of wantonism. I close the essay by briefly addressing some of the ramifications of my argument for Applbaum’s larger project in Legitimacy. I argue that, after rejecting the flawed account of free moral group agency, we can productively recover some of Applbaum’s key insights within a revised account of political legitimacy. (shrink)

Autonomous Agents addresses the related topics of self-control and individual autonomy. "Self-control" is defined as the opposite of akrasia-weakness of will. The study of self-control seeks to understand the concept of its own terms, followed by an examination of its bearing on one's actions, beliefs, emotions, and personal values. It goes on to consider how a proper understanding of self-control and its manifestations can shed light on personal autonomy and autonomous behaviour. Perspicuous, objective, and incisive throughout, Alfred Mele makes (...) a convincing case for the value of individual autonomy. (shrink)

The agent-relative/agent-neutral distinction is one of the most important in contemporary moral theory. Yet, providing an adequate formal account of it has proven difficult. In this article I defend a new formal account of the distinction, one that avoids various problems faced by other accounts. My account is based on an influential account of the distinction developed by McNaughton and Rawling. I argue that their approach is on the right track but that it succumbs to two serious objections. I then (...) show how to formulate a new account that follows the key insights of McNaughton and Rawling’s approach yet avoids the two objections. (shrink)

This chapter contains sections titled: 1 2 3 4 5 6 7.

This is an introduction to the agent-relative/agent-neutral distinction as it pertains to utilitarianism.

Agent Relative Ethics asks what the world would look like if we adopted agent relativity wholeheartedly, clinging to no shred of absolute morality. Alastair MacIntyre's haunting image of a post-apocalyptic world, in which our knowledge of ethics has been fragmented, poses a contrast between modern morality and ancient ethics. The two stand divided along the fault line of the nature of the good. Modern ethics has placed its stake in the absolute good, while ancient ethics rests upon the foundation of (...) the relative good. Following the lead of Bernard Williams, Agent Relative Ethics identifies alienation as a disturbing symptom of the present focus upon absolute goods. It then completes the diagnosis of the malady afflicting modern moral theory by clarifying the difference between absolute and relative goods. The remainder of the book explores how agent relativity can overcome the modern fragmentation of our ethical knowledge. Not just any relative goods can rectify the modern disorder. Only shared goods, belonging to a union of individuals, are sufficiently robust to overthrow the contemporary despotism of neutral goods. These shared goods exhibit many parallels with common sense morality, including partiality, impartiality, punishment, and an antagonism toward harmfully using others together with a more lenient attitude toward foreseeing harm. The final chapters probe the conditions, often unpalatable to the modern mind, by which ethics might be restored. Agent Relative Ethics will be of interest to scholars and advanced students working in ethics and moral theory, ancient ethics, and the history of philosophy. (shrink)

Agent-regret seems to give rise to a philosophical puzzle. If we grant that we are not morally responsible for consequences outside our control (the ‘Standard View’), then agent-regret—which involves self-reproach and a desire to make amends for consequences outside one’s control—appears rationally indefensible. But despite its apparent indefensibility, agent-regret still seems like a reasonable response to bad moral luck. I argue here that the puzzle can be resolved if we appreciate the role that agent-regret plays in a larger social practice (...) that helps us deal with bad moral luck. That agent-regret is a component in a social practice limits the questions that we can reasonably ask about it. While we can ask whether an experience of agent-regret is rational given the norms of this practice, we cannot ask the question that motivates the puzzle of agent-regret, viz. whether agent-regret is rationally defensible according to the Standard View. (shrink)

This article discusses agent-based simulation (ABS) as a tool of sociological understanding. I argue that agent-based simulations can play an important role in the expansion of explanatory understanding in the social sciences. The argument is based on an inferential account of understanding (Ylikoski 2009, Ylikoski & Kuorikoski 2010), according to which computer simulations increase our explanatory understanding by expanding our ability to make what-if inferences about social processes and by making these inferences more reliable. The inferential account also suggests a (...) number of ways in which the use of simulation methodology might give rise to illusory understanding. The structure of the article is as .. (shrink)