Optimization models have often been useful in attempting to understand the adaptive significance of behavioral traits. Originally such models were applied to isolated aspects of behavior, such as foraging, mating, or parental behavior. In reality, organisms live in complex, ever-changing environments, and are simultaneously concerned with many behavioral choices and their consequences. This target article describes a dynamic modeling technique that can be used to analyze behavior in a unified way. The technique has been widely used in behavioral studies of (...) insects, fish, birds, mammals, and other organisms. The models use biologically meaningful parameters and variables, and lead to testable predictions. Limitations arise because nature's complexity always exceeds our modeling capacity. (shrink)

Biological brains are increasingly cast as ‘prediction machines’: evolved organs whose core operating principle is to learn about the world by trying to predict their own patterns of sensory stimulation. This, some argue, should lead us to embrace a brain-bound ‘neurocentric’ vision of the mind. The mind, such views suggest, consists entirely in the skull-bound activity of the predictive brain. In this paper I reject the inference from predictive brains to skull-bound minds. Predictive brains, I hope to show, can be (...) apt participants in larger cognitive circuits. The path is thus cleared for a new synthesis in which predictive brains act as entry-points for ‘extended minds’, and embodiment and action contribute constitutively to knowing contact with the world. (shrink)

Advanced biological brains are by nature open-ended opportunistic controllers. Such controllers compute, pretty much on a moment-to-moment basis, what problem-solving resources are readily available and recruit them into temporary problem-solving wholes. Neural plasticity, exaggerated in our own species, makes it possible for such resources to become factored deep into both our cognitive and physical problem-solving routines. One way to think about this is to depict the biological brain as a master of what I shall dub ‘ecological control’. Ecological control is (...) the kind of top-level control that does not micro-manage every detail, but rather encourages substantial devolvement of power and responsibility. This kind of control allows much of our skill at walking to reside in the linkages and elastic properties of muscles and tendons. And it allows much of our prowess at thought and reason to depend upon the robust and reliable operation, often in dense brain-involving loops, of a variety of non-biological problem-solving resources spread throughout our social and technological surround. Are the complex distributed systems that result in some sense ‘out of control’, beyond the reach of useful governance? I shall argue that they are not, although understanding them requires us to re-think some key ideas about control and the nature of the self. To make this case, I shall first examine some strategies for efficient, external opportunity exploiting control in simple systems. I shall then argue that many of the same lessons apply to the case of higher-level human problem-solving. (shrink)

We argue that current discussions of criteria for actual causation are ill-posed in several respects. (1) The methodology of current discussions is by induction from intuitions about an infinitesimal fraction of the possible examples and counterexamples; (2) cases with larger numbers of causes generate novel puzzles; (3) "neuron" and causal Bayes net diagrams are, as deployed in discussions of actual causation, almost always ambiguous; (4) actual causation is (intuitively) relative to an initial system state since state changes are relevant, but (...) most current accounts ignore state changes through time; (5) more generally, there is no reason to think that philosophical judgements about these sorts of cases are normative; but (6) there is a dearth of relevant psychological research that bears on whether various philosophical accounts are descriptive. Our skepticism is not directed towards the possibility of a correct account of actual causation; rather, we argue that standard methods will not lead to such an account. A different approach is required. (shrink)

There is growing evidence from the science of human behavior that our everyday, folk understanding of ourselves as conscious, rational, responsible agents may be mistaken. The new essays in this volume display and explore this radical claim. folk concept of the responsible agent after abandoning the image of a central executive and "decomposing" the notion of the conscious will into multiple interlocking aspects and functions.

A large chorus of voices has grown around the claim that theistic belief is epistemically suspect since, as some cognitive scientists have hypothesized, such beliefs are a byproduct of cognitive mechanisms which evolved for rather different adaptive purposes. This paper begins with an overview of the pertinent cognitive science followed by a short discussion of some relevant epistemic concepts. Working from within a largely Williamsonian framework, we then present two different ways in which this research can be formulated into an (...) argument against theistic belief. We argue that neither version works. (shrink)

Your use of the JSTOR archive indicates your acceptance of J STOR’s Terms and Conditions of Use, available at http://www.jstor.org/about/tenns.htm1. J STOR’s Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non—commercial use.

Philosophical Explorations, Volume 15, Issue 2, Page 87-90, June 2012.

Technoscientific ambitions for perfecting human-like machines, by advancing state-of-the-art neuromorphic architectures and cognitive computing, may end in ironic regret without pondering the humanness of fallible artificial non-normative personalities. Self-organizing artificial personalities individualize machine performance and identity through fuzzy conscientiousness, emotionality, extraversion/introversion, and other traits, rendering insights into technology-assisted human evolution, robot ethology/pedagogy, and best practices against unwanted autonomous machine behavior.

Recent literature in philosophy of science has addressed purported notions of explanatory virtues—‘explanatory power’, ‘unification’, and ‘coherence’. In each case, a probabilistic relation between a theory and data is said to measure the power of an explanation, or degree of unification, or degree of coherence. This essay argues that the measures do not capture cases that are paradigms of scientific explanation, that the available psychological evidence indicates that the measures do not capture judgements of explanatory power, and, finally, that the (...) measures do not provide useful methods for selecting hypotheses. 1. Introduction2. Some Proposed Measures of Explanatory Virtues3. Descriptive Inadequacy3.1 Excellent but false explanations3.2 Causal explanation4. Psychological Inadequacy5. Finding the Truth6. Conclusion. (shrink)

The most neglected sector of Kant's Critical Philosophy is his collec tion of remarks about biological phenomena in the second part of the Critique of Judgment, the Critique of Teleological Judgment. The reasons for this are numerous, but since in Kant, everything comes in threes, a three-fold collection will suffice. The Critique of Teleological Judgment itself is one reason. More than most of his writings, this segment of the Critical corpus suffers from what can most charitably be termed "mistakes of (...) exposition. " In this part of the third Critique, it is commonplace to find sub-arguments in Kant's general position somewhere other than their logical niche. The result is that the general theme behind his remarks about living phenomena is obscured. This difficulty has done much to discourage even the most enthusiastic of Kant admirers from investing their time on this work. Secondly, in this century, until very recently, there has been little interest in philosophical questions about biology. Twenty-one out of thirty-one sections of the Critique of Teleological Judgment (sections #61 and 63-83) deal either directly or indirectly with issues of interest in the philosophy of biology. Finally, the Critique of Teleological Judgment has been placed among the last on that list "of writings thought to formulate Kant's Critical system. This is not merely because of its temporal position. (shrink)

This short note takes two quotations from Snooks’ recent editorial on neuroeducation and teases out some further details on the philosophy of neuroscience and neurophilosophy along with consideration of the implications of both for philosophy of education.

In May 2010, philosophers, family and friends gathered at the University of Notre Dame to celebrate the career and retirement of Alvin Plantinga, widely recognized as one of the world's leading figures in metaphysics, epistemology, and the philosophy of religion. Plantinga has earned particular respect within the community of Christian philosophers for the pivotal role that he played in the recent renewal and development of philosophy of religion and philosophical theology. Each of the essays in this volume engages with some (...) particular aspect of Plantinga's views on metaphysics, epistemology, or philosophy of religion. Contributors include Michael Bergman, Ernest Sosa, Trenton Merricks, Richard Otte, Peter VanInwagen, Thomas P. Flint, Eleonore Stump, Dean Zimmerman and Nicholas Wolterstorff. The volume also includes responses to each essay by Bas van Fraassen, Stephen Wykstra, David VanderLaan, Robin Collins, Raymond VanArragon, E. J. Coffman, Thomas Crisp, and Donald Smith. (shrink)

Increased productivity may have negative impacts on farm animal welfare in modern animal production systems. Efficiency gains in production are primarily thought to be due to the intensification of production, and this has been associated with an increased incidence of production diseases, which can negatively impact upon FAW. While there is a considerable body of research into consumer attitudes towards FAW, the extent to which this relates specifically to a reduction in production diseases in intensive systems, and whether the increased (...) incidence of diseases represents a barrier to consumer acceptance of their increased use, requires further investigation. Therefore a systematic review of public attitudes towards FAW was conducted, with a specific focus on production diseases in intensive systems. Four databases were searched to identify relevant studies. A screening process, using a set of pre-determined inclusion criteria, identified 80 studies, with the strength of evidence and uncertainty assessed for each. A thematic analysis led to the identification of 6 overarching themes constructed from 15 subthemes. The results demonstrate that the public are concerned about FAW in modern production systems. Concern varied in relation to age, gender, education and familiarity with farming. Naturalness and humane treatment were central to what was considered good welfare. An evidence gap was highlighted in relation to attitudes towards specific production diseases, with no studies specifically addressing this. However, the prophylactic use of antibiotics was identified as a concern. A number of dissonance strategies were adopted by consumers to enable guilt free meat consumption. (shrink)

Mind, it has recently been argued1, is a thoroughly temporal phenomenon: so temporal, indeed, as to defy description and analysis using the traditional computational tools of cognitive scientific understanding. The proper explanatory tools, so the suggestion goes, are instead the geometric constructs and differential equations of Dynamical Systems Theory. I consider various aspects of the putative temporal challenge to computational understanding, and show that the root problem turns on the presence of a certain kind of causal web: a web that (...) involves multiple components (both inner and outer) linked by chains of continuous and reciprocal causal influence. There is, however, no compelling route from such facts about causal and temporal complexity to the radical anti- computationalist conclusion. This is because, interactive complexities notwithstanding, the computational approach provides a kind of explanatory understanding that cannot (I suggest) be recreated using the alternative resources of pure Dynamical Systems Theory. In particular, it provides a means of mapping information flow onto causal structure -- a mapping that is crucial to understanding the distinctive kinds of flexibility and control characteristic of truly mindful engagements with the world. Where we confront especially complex interactive causal webs, however, it does indeed become harder to isolate the syntactic vehicles required by the computational approach. Dynamical Systems Theory, I conclude, may play a vital role in recovering such vehicles from the burgeoning mass of real-time interactive complexity. (shrink)

Social theorists, drawing on the study of complex dynamical systems to address global processes, tend to evoke an immanent globality devoid of a constitutive otherness or outside. However, as well as dealing with the internal dynamics of systems, complexity studies point to the mutual implication of systems and their surroundings: a concern that resonates with the interest in the convolutions of the inside–outside relationship prominent in post-structural philosophies. This article, looking at theories about the dynamical characteristics of the solar system, (...) galaxy and universe, develops the idea of an ex-orbitant globality that treats the earth as a system in active and ongoing interchange with its cosmic environment. A sense of the inevitable excess and unpredictability that attends this openness to the cosmos and to further other-than-human influences, it is suggested, has repercussions for the way we respond to environmental change injecting an element of abyssal undecidability into all our deliberations. (shrink)

A rather cheeky philosopher, I think it was Hamlet, Prince of Denmark, said that there were a lot of things in heaven and on earth that were not in our textbooks. If this simpleminded man, who as known was out of his mind, so sneered at our textbooks, then one might answer him, consoled: Good, but there are also a lot of things in our textbooks that are neither in heaven nor on earth.