In this article, I examine Michael Bratman’s account of stability in his planning theory of intention. Future-directed intentions should be stable, or appropriately resistant to change, over time. Bratman claims that the norm of stability governs both intentions and plans. The aim of this article is to critically enrich Bratman’s account of stability by introducing plasticity as an additional norm of planning. I construct plasticity as a kind of stability of intentions which supplements Bratman’s notion of “reasonable stability.” Unlike the (...) latter, plasticity applies mainly to cases in which plan states are abandoned without reconsideration. I focus on the intra-theoretical problems of PTI and elucidate: the distinction between future-directed intentions and plans, the conceptual difference between stability and inertia, which is only implicit in PTI, and the role of the environment of the planner, which has a vestigial role in Bratman’s work. I also defend my incorporation of pl... (shrink)

How can we explain the intentional nature of an expert’s actions, performed without immediate and conscious control, relying instead on automatic cognitive processes? How can we account for the differences and similarities with a novice’s performance of the same actions? Can a naturalist explanation of intentional expert action be in line with a philosophical concept of intentional action? Answering these and related questions in a positive sense, this dissertation develops a three-step argument. Part I considers different methods of explanations in (...) cognitive neuroscience (Bennett & Hacker’s philosophical, conceptual analysis; Marr’s three levels of explanation; Neural Correlates of Consciousness research; mechanistic explanation), defending ‘mechanistic explanation’ as a method that provides the necessary tools for integrating interdisciplinary insights into human action. Furthermore, a dynamic, explanatory mechanism allows the assessment of the impact of learning and development on expert action in a valuable way that other methods don’t. Part II continues by scrutinizing several cognitive neuroscientific theories of learning and development (neuroconstructivism; dual-processing theories; simulation theory; extended mind/cognition hypothesis), arguing for the complex interactions between different types of processing and different action representations involved in expert action performances. Moreover, according to our discussion of a particular ‘simulation theory’ these interactions can be influenced in several ways with the use of language, allowing an agent to configure a specific action representation for performance at a later stage. The results of Parts I and II are then applied in Part III to a parallel discussion of philosophical analyses of intentional action (discussing i.a. Frankfurt, Bratman, Pacherie and Ricoeur) and cognitive neuroscientific insights in it. Both approaches are found to converge in emphasizing the importance for an expert to develop stable patterns of actions that comply maximally not only with his intentions, but also with his motor expertise and with situational conditions. Consequently, his actions – automatic, or not – rely on this ‘sculpted space of actions’. (shrink)

Can computer systems ever be considered moral agents? This paper considers two factors that are explored in the recent philosophical literature. First, there are the important domains in which computers are allowed to act, made possible by their greater functional capacities. Second, there is the claim that these functional capacities appear to embody relevant human abilities, such as autonomy and responsibility. I argue that neither the first (Domain-Function) factor nor the second (Simulacrum) factor gets at the central issue in the (...) case for computer moral agency: whether they can have the kinds of intentional states that cause their decisions and actions. I give an account that builds on traditional action theory and allows us to conceive of computers as genuine moral agents in virtue of their own causally efficacious intentional states. These states can cause harm or benefit to moral patients, but do not depend on computer consciousness or intelligence. (shrink)

In this paper we present an account of practical rationality and weakness of will in terms of rational capacities. We show how our account rectifies various shortcomings in Michael Smith's related theory. In particular, our account is capable of accommodating cases of weak-willed behaviour that are not `akratic', or otherwise contrary to the agent's better judgement. Our account differs from Smith's primarily by incorporating resolve: a third rational capacity for resolute maintenance of one's intentions. We discuss further two ways to (...) explain the importance of resolve to practical rationality: one based on Richard Holton's recent work, and an alternative, non-consequentialist account. (shrink)

David Gauthier and Edward McClennen have claimed that it could be rational to form an intention to A because it maximizes utility to intend to A, and that acting on such an intention could be rational even if it maximizes utility not to A. Michael Bratman has objected to this way of thinking, claiming that it is equivalent to the familiar rule-utilitarian mistake of rule-worship. The purpose of this paper is to argue that, so long as one is aware at (...) the time of forming an intention to A that it maximizes utility not to A, then acting on that intention need not be rule worship, but the result of a rational refusal to reconsider an issue which has already been adequately considered. (shrink)

Reasoning about mental states and processes is important in various subareas of the legal domain. A trial lawyer might need to reason and the beliefs, reasoning and other mental states and processes of members of a jury; a police officer might need to reason about the conjectured beliefs and reasoning of perpetrators; a judge may need to consider a defendant's mental states and processes for the purposes of sentencing and so on. Further, the mental states in question may themselves be (...) about the mental states and processes of other people. Therefore, if AI systems are to assist with reasoning tasks in law, they may need to be able to reason about mental states and processes. Such reasoning is riddled with uncertainty, and this is true in particular in the legal domain. The article discusses how various different types of uncertainty arise, and shows how they greatly complicate the task of reasoning about mental states and processes. The article concentrates on the special case of states of belief and processes of reasoning, and sketches an implemented, prototype computer program (ATT-Meta) that copes with the various types of uncertainty in reasoning about beliefs and reasoning. In particular, the article outlines the system's facilities for handling conflict between different lines of argument, especially when these lie within the reasoning of different people. The system's approach is illustrated by application to a real-life mugging example. [NB: The date on the archived preprint avail via this Phil* page has an incorrect date, 2011, on it. The correct date is 2001.]. (shrink)

This paper presents a decision problem called the holiday puzzle. The decision problem is one that involves incommensurable goods and sequences of choices. This puzzle points to a tension between three prima facie plausible, but jointly incompatible claims. I present a way out of the trilemma which demonstrates that it is possible for agents to have incomplete preferences and to be dynamically rational. The solution also suggests that the relationship between preference and rational permission is more subtle than standardly assumed.

An important module in the Belief-Desire-Intention architecture for artificial agents (which builds on Michael Bratman's work in the philosophy of action) focuses on the task of intention reconsideration. The theoretical task is to formulate principles governing when an agent ought to undo a prior committed intention and reopen deliberation. Extant proposals for such a principle, if sufficiently detailed, are either too task-specific or too computationally demanding. I propose that an agent ought to reconsider an intention whenever some incompatible prospect is (...) sufficiently valuable along some dimension that can be assessed at zero or near-zero computational cost. (shrink)

Suppose that you prefer A to B, B to C, and C to A. Your preferences violate Expected Utility Theory by being cyclic. Money-pump arguments offer a way to show that such violations are irrational. Suppose that you start with A. Then you should be willing to trade A for C and then C for B. But then, once you have B, you are offered a trade back to A for a small cost. Since you prefer A to B, you (...) pay the small sum to trade from B to A. But now you have been turned into a money pump. You are back to the alternative you started with but with less money. This Element shows how each of the axioms of Expected Utility Theory can be defended by money-pump arguments of this kind. The Element also defends money-pump arguments from the standard objections to this kind of approach. This title is also available as Open Access on Cambridge Core. (shrink)

Imagine you are casually browsing an online bookstore, looking for an interesting novel. Suppose the store predicts you will want to buy a particular novel: the one most chosen by people of your same age, gender, location, and occupational status. The store recommends the book, it appeals to you, and so you choose it. Central to this scenario is an automated prediction of what you desire. This article raises moral concerns about such predictions. More generally, this article examines the ethics (...) of artificial social cognition—the ethical dimensions of attribution of mental states to humans by artificial systems. The focus is presumptuous aim attributions, which are defined here as aim attributions based crucially on the premise that the person in question will have aims like superficially similar people. Several everyday examples demonstrate that this sort of presumptuousness is already a familiar moral concern. The scope of this moral concern is extended by new technologies. In particular, recommender systems based on collaborative filtering are now commonly used to automatically recommend products and information to humans. Examination of these systems demonstrates that they naturally attribute aims presumptuously. This article presents two reservations about the widespread adoption of such systems. First, the severity of our antecedent moral concern about presumptuousness increases when aim attribution processes are automated and accelerated. Second, a foreseeable consequence of reliance on these systems is an unwarranted inducement of interpersonal conformity. (shrink)

Philosophers and scientists have across the ages been amazed about the fact that development and learning often lead to not just a merely incremental and gradual change in the learner but sometimes to a result that is strikingly different from the learner’s original situation: amazed, but at times also worried. Both philosophical and cognitive neuroscientific insights suggest that experts appear to perform ‘different’ tasks compared to beginners who behave in a similar way. These philosophical and empirical perspectives give some insight (...) into what happens when a novice is transitioning to a stage of expertise. Generally, this implies that increased skill and expertise support better results and a more flexible performance, in part because these allow an agent to withdraw part of her attention and other cognitive resources from the tasks involved, enabling her to devote those resources to supporting, or completely different, tasks. As positive as these developments appear, these changes have also raised concerns. The main concern is whether gaining expertise is like raising a ‘cognitive monster’ which escapes the individual’s conscious control and influences her actions with undesirable automatisms. If so, we should ask ourselves whether experts are capable of taming this monster. The answer appears initially not to be positive. Indeed, it has been noted that since it is difficult for experts to withhold automatic responses this can lead to inflexibility or performance that is only optimal under certain conditions, because it is limited to a specific domain, often context-dependent, biased and inflexible. In what follows, I will consider this challenge of protecting expertise and harnessing this brittleness from philosophical and cognitive neuroscientific perspectives. Taking into account that action is in general determined by a multitude of factors, with learning and development affecting how these factors exert their influence, a philosophical question is how this complex and dynamic process can be explained and subsequently, how controlling it might be understood. First, though, I will present the issue at hand more closely: should we appreciate expertise if it is similar to growing a ‘cognitive monster’? Second, I will introduce the framework of a “Sculpted Space of Actions” (Keestra, 2014), which I developed in order to explain how the challenge of selecting an adequate option for action is facilitated by expertise as it helps to constrain the space of potential action options. Subsequently, the question is raised of how such a Sculpted Space of Actions influences an expert’s engagement with specific situations, like teaching students in a classroom setting. It will be argued that a well prepared expert—teacher or otherwise— is not only able to rely upon her routines but will at the same time be more perceptive and attentive to unforeseen events and actions, according to the recent cognitive neuroscientific theory of Predictive Processing. Integrating the theory of Predictive Processing with the Sculpted Space of Actions framework, I conclude that expertise contributes to adaptive and flexible responses to specific contexts, yet only if it is associated with explicit planning and articulation of situation specific intentions—the latter effectively putting the cognitive monster at rest for a while. (shrink)

Aristotle claims at Eudemian Ethics 1.2 that everyone who can live according to his own choice should adopt some goal for the good life, which he will keep in view in all his actions, for not to have done so is a sign of folly. This is an opinion shared by other ancients as well as some moderns. Others believe, however, that this view is false to the human condition, and provide a number of objections: (1) you can’t plan love; (...) (2) nor life’s surprises; (3) planning a whole life is of no use since the world changes too much; (4) as do our values; and (5) planning a life is something only dreary people would do. The aim of this paper is to examine these objections, as part of a broader attempt to defend the relevance of a eudaimonistic approach to the question of how to live well. (shrink)

Michael Bratman''s restricted two-tier approach to rationalizing the stability of intentions contrasts with an alternative view of planning, for which all of the following claims are made: (a) it shares with Bratman''s restricted two-tier approach the virtue of reducing the magnitude of Smart''s problem; (2) it, rather than the unrestricted two-tier approach, is what is argued for in McClennen (1990); (3) there does not appear to be anything in the central analysis that Bratman has provided of plans and intentions (both (...) in his book,Intention, Plans, and Practical Reason, and in the article Planning and the Stability of Intention) that precludes his adopting this alternative approach; and (4) it is an approach that neither requires nor encourages any distinction between the standards appropriate to artificial and to human intelligence. (shrink)

When mental health professionals or social workers are confronted with a suicidal individual, one approach is to use all means to delay the act of suicide until the desire for death subsides. Encouraging someone to delay suicide while bypassing the individual’s practical reasons for suicide can lead to irrational postponement, which equates to procrastinating suicide. Causing someone to procrastinate in this manner poses a risk of disrespecting the person as a rational agent. However, is it even possible to irrationally delay (...) one’s own act of suicide? Additionally, isn’t it beneficial to do so? The aim of the manuscript is to explore the possibility and value of using procrastination in managing suicidal individuals. First, I will argue that procrastination of a suicide intent is possible, which makes inducing this state of mind in people morally problematic. Second, I will argue that there is no intrinsic value in procrastination, although it does have instrumental value. Procrastination holds instrumental value for individuals who delay an irrational act of suicide. Furthermore, procrastination is valuable for clinical psychology, not by making people irrationally delay suicide but for assessing suicide risk. (shrink)