Do we have introspective access to our own thoughts? Peter Carruthers challenges the consensus that we do: he argues that access to our own thoughts is always interpretive, grounded in perceptual awareness and sensory imagery. He proposes a bold new theory of self-knowledge, with radical implications for understanding of consciousness and agency.

Joining the debate over the roles of reason and appetite in the moral mind, In Praise of Desire takes the side of appetite. Acting for moral reasons, acting in a praiseworthy manner, and acting out of virtue are simply acting out of intrinsic desires for the right or the good.

What place does motivation have in the lives of intelligent agents? Mele's answer is sensitive to the concerns of philosophers of mind and moral philosophers and informed by empirical work. He offers a distinctive, comprehensive, attractive view of human agency. This book stands boldly at the intersection of philosophy of mind, moral philosophy, and metaphysics.

To desire something is a condition familiar to everyone. It is uncontroversial that desiring has something to do with motivation, something to do with pleasure, and something to do with reward. Call these "the three faces of desire." The standard philosophical theory at present holds that the motivational face of desire presents its unique essence--to desire a state of affairs is to be disposed to act so as to bring it about. A familiar but less standard account holds the hedonic (...) face of desire to reveal to true nature of desire. In this view, to desire something is to tend to pleasure if it seems that the desired state of affairs has been achieved, or displeasure if it seems otherwise, thus tying desire to feelings instead of actions. In Three Faces of Desire, Schroeder goes beyond actions and feelings to advance a novel and controversial theory of desire that puts the focus on desire's neglected face, reward. Informed by contemporary science as much as by the philosophical tradition, Three Faces of Desire discusses recent scientific discoveries that tell us much about the way that actions and feelings are produced in the brain. In particular, recent experiments reveal that a distinctive system is responsible for promoting action, on the one hand, and causing feelings of pleasure and displeasure, on the other. This system, the brain's reward system, is the causal origin of both action and feeling, and is the key to understanding the nature of desire. (shrink)

D. In doing x an agent acts incontinently if and only if: 1) the agent does x intentionally; 2) the agent believes there is an alternative action y open to him; and 3) the agent judges that, all things considered, it would be better to do y than to do x.

We are prone to gross error, even in favorable circumstances of extended reflection, about our own ongoing conscious experience, our current phenomenology. Even in this apparently privileged domain, our self-knowledge is faulty and untrustworthy. We are not simply fallible at the margins but broadly inept. Examples highlighted in this essay include: emotional experience (for example, is it entirely bodily; does joy have a common, distinctive phenomenological core?), peripheral vision (how broad and stable is the region of visual clarity?), and the (...) phenomenology of thought (does it have a distinctive phenomenology, beyond just imagery and feelings?). Cartesian skeptical scenarios undermine knowledge of ongoing conscious experience as well as knowledge of the outside world. Infallible judgments about ongoing mental states are simply banal cases of self-fulfillment. Philosophical foundationalism supposing that we infer an external world from secure knowledge of our own consciousness is almost exactly backward. (shrink)

Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence. According to an article in The New York Times, the course on artificial intelligence is (...) “one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.” One of the other two courses, an introduction to database software, is being taught by Pearson author Dr. Jennifer Widom. Artificial Intelligence: A Modern Approach, 3e is available to purchase as an eText for your Kindle™, NOOK™, and the iPhone®/iPad®. (shrink)

The critical concern of the present volume is contemporary naturalism, both in its scientific version and as represented by newly emerging hopes for another, philosophically more liberal, naturalism.1 The papers collected here are state-of-the-art discussions that question the appeal, rational motivations, and presuppositions of scientific naturalism across a broad range of philosophical topics. As an alternative to scientific naturalism, we offer the outlines of a new non- reductive form of naturalism and a more inclusive conception of nature than any provided (...) by the natural sciences. Our authors collectively believe that holding scientific naturalism up for philosophical scrutiny and challenging its misconceptions is of the first importance both for understanding ourselves and our place in the world; and, also, for the future direction of philosophy itself. (shrink)

It seems to be a truism that whenever we do something - and so, given the omnipresence of trying (Hornsby 1980), whenever we try to do something - we want to do that thing more than we want to do anything else we can do (Davidson 1970). However, according to Frog, when we have will power we are able to try not to do something that we ‘really want to do’. In context the idea is clearly meant to be that (...) what we really want to do and what we most want to do are one and the same. But how is this meant to be so much as possible? It seems to require that our desire not to do what we most want to do is both our strongest desire and not our strongest desire. And that is a blatant contradiction. This is the so-called ‘paradox of self-control’ (Mele 1987). The aim of our paper is to explain how to make sense of the story of Frog and Toad. (shrink)

Do people sometimes exercise self-control in such a way as to bring it about that they do not act on present-directed motivation that continues to be motivationally strongest for a significant stretch of time (even though they are able to act on that motivation at the time) and intentionally act otherwise during that stretch of time? This paper explores the relative merits of two different theories about synchronic self-control that provide different answers to this question. One is due to Sripada (...) (Noûs 1–38, 2012) and the other to Mele (Irrationality, 1987; Autonomous agents, 1995; Motivation and agency, 2003). Special attention is paid to evidence Sripada offers for an affirmative answer to the question, and some guidance is offered on the project of finding evidence for an affirmative answer. (shrink)

Ideal agents are role models whose perfection in some normative domain we try to approximate. But which form should this striving take? It is well known that following ideal rules of practical reasoning can have disastrous results for non-ideal agents. Yet, this issue has not been explored with respect to rules of theoretical reasoning. I show how we can extend Bayesian models of ideally rational agents in order to pose and answer the question of whether non-ideal agents should form new (...) degrees of belief in the same way as their ideal counterparts. I demonstrate that the epistemic and the practical case are parallel: following ideal rules does not always lead to optimal outcomes for non-ideal agents. (shrink)

Accession Number: ATLA0001712242; Hosting Book Page Citation: p 430-452.; Language(s): English; General Note: Bibliography: p 451-452.; Issued by ATLA: 20130825; Publication Type: Essay.

In this article, I survey four key questions about willpower: How is willpower possible? Why does willpower fail? How does willpower relate to other self-regulatory processes? and What are the connections between willpower and weakness of will? Empirical research into willpower is growing rapidly and yielding some fascinating new findings. This survey emphasizes areas in which empirical progress in understanding willpower helps to advance traditional philosophical debates.

activity” has been considered to play a major role in the short-term maintenance of memories. Many studies since then have provided support for this view and greatly advanced our knowledge of the effects of stimulus type and modality on delay activity and its temporal dynamics. In humans, working memory has also been a subject of intense investigation using scalp and intracranial electroencephalography as well as magnetoencephalography, which provide estimates of local population activity. The published findings include reports of systematic changes (...) in signal amplitude during working memory in the theta, alpha, beta. (shrink)

In `Underestimating Self-Control' (1997a), I argued that Jeanette Kennett and Michael Smith (1996) underestimate our capacity for synchronic self-control. They argued for a solution to a puzzle about such self-control that features non-actional exercises' of self-control. I argued in response that `a more robust, actional exercise of self-control is open to agents in scenarios of the sort in question' (1997a: 119). They disagree (Kennett and Smith 1997).In Mele 1997a, I resisted the temptation to criticize Kennett and Smith's attempted resolution, because (...) I thought it better to concentrate on sketching an alternative resolution. Here, I will argue that the resolution they offer is problematic and reply to their criticism (1997) of my suggested resolution. (shrink)

The mesostriatal dopamine system is prominently implicated in model-free reinforcement learning, with fMRI BOLD signals in ventral striatum notably covarying with model-free prediction errors. However, latent learning and devaluation studies show that behavior also shows hallmarks of model-based planning, and the interaction between model-based and model-free values, prediction errors, and preferences is underexplored. We designed a multistep decision task in which model-based and model-free influences on human choice behavior could be distinguished. By showing that choices reflected both influences we could (...) then test the purity of the ventral striatal BOLD signal as a model-free report. Contrary to expectations, the signal reflected both model-free and model-based predictions in proportions matching those that best explained choice behavior. These results challenge the notion of a separate model-free learner and suggest a more integrated computational architecture for high-level human decision-making. (shrink)