Anthony Chemero

In this talk, we defend extended cognition against several criticisms. We argue that extended cognition does not derive from armchair theorizing and that it neither ignores the results of the neural sciences, nor minimizes the importance of the brain in the production of intelligent behavior. We also argue that explanatory success in the cognitive sciences does not depend on localist or reductionist methodologies; part of our argument for this is a defense of what might be called ‘holistic science’

What would it take for an artificial agent to be treated as having moral value? As a first step toward answering this question, we ask what it would take for an artificial agent to be capable of the sort of autonomous, adaptive social behavior that is characteristic of the animals that humans interact with. We propose that this sort of capacity is best measured by what we call the Embodied Turing Test. The Embodied Turing test is a test in which intelligence is operationally defined in terms of autonomous, adaptive interaction with the environment and with other animals. Three versions of the Embodied Turing test were performed with a SONY AIBO robot. Human participants were asked to differentiate between AIBO in a human-controlled mode and AIBO in a software-controlled mode. Our results indicate that the human participants were guessing at how AIBO was controlled. Our data reveals that people do not have enough experience with robots to accurately evaluate its behavior. This indicates that today’s humans do not have enough experience with artificial agents to treat them as morally valuable.

Several articles have recently appeared arguing that there really are no viable alternatives to mechanistic explanation in the biological sciences (Kaplan and Bechtel; Kaplan and Craver). We argue that mechanistic explanation is defined by localization and decomposition. We argue further that systems neuroscience contains explanations that violate both localization and decomposition. We conclude that the mechanistic model of explanation needs to either stretch to now include explanations wherein localization or decomposition fail or acknowledge that there are counterexamples to mechanistic explanation in the biological sciences

In this essay we respond to some criticisms of the guidance theory of representation offered by Tom Roberts. We argue that although Roberts’ criticisms miss their mark, he raises the important issue of the relationship between affordances and the action-oriented representations proposed by the guidance theory. Affordances play a prominent role in the anti-representationalist accounts offered by theorists of embodied cognition and ecological psychology, and the guidance theory is motivated in part by a desire to respond to the critiques of representationalism offered in such accounts, without giving up entirely on the idea that representations are an important part of the cognitive economy of many animals. Thus, explorations of whether and how such accounts can in fact be related and reconciled potentially offer to shed some light on this ongoing controversy. Although the current essay hardly settles the larger debate, it does suggest that there may be more possibility for agreement than is often supposed

In her essay --?Information, Perception and Action--, Claire Michaels reaches two conclusions that run very much against the grain of ecological psychology. First, she claims that affordances are not perceived, but simply acted upon; second, because of this, perception and action ought to be conceived separately. These conclusions are based upon a misinterpretation of empirical evidence which is, in turn, based upon a conflation of two proper objects of perception: objectively with properties and affordances.

A recent set of experiments of ours supported the notion of a transition in experience from readiness-to-hand to unreadiness-tohand proposed by phenomenological philosopher Martin Heidegger. They were also an experimental demonstration of an extended cognitive system. We generated and then temporarily disrupted an interaction- dominant system that spans a human participant, a computer mouse, and a task performed on the computer screen. Our claim that this system was interaction dominant was based on the detection of 1/f noise at the hand-tool interface. The inference from the presence of 1/f noise to the presence of an interaction-dominant system is occasionally disputed. Increasing evidence suggests that inference from multifractality to interaction dominance is more certain than 1/f- like scaling alone. In this paper, we reanalyze the data using the wavelet transform modulus maxima method, showing that the human-mouse system displays multifractality. This reinforces our claims that the system is interaction dominant.

In their historical overview of cognitive science, Bechtel, Abraham- son and Graham (1999) describe the field as expanding in focus be- ginning in the mid-1980s. The field had spent the previous 25 years on internalist, high-level GOFAI (“good old fashioned artificial intelli- gence” [Haugeland 1985]), and was finally moving “outwards into the environment and downards into the brain” (Bechtel et al, 1999, p.75). One important force behind the downward movement was Patricia Churchland’s Neurophilosophy (1986). This book began a movement bearing its name, one that truly came of age in 1999 when Kath- leen Akins won a million-dollar fellowship to begin the McDonnell Project in Philosophy and the Neurosciences. The McDonnell Project put neurophilosophy at the forefront of philosophy of mind and cogni- tive science, yielding proliferating articles, conferences, special journal issues and books. In two major new books, neurophilosophers Patricia Churchland (2002) and John Bickle (2003) clearly feel this newfound prominence: Churchland mocks those who do not apply findings in neuroscience to philosophical problems as “no-brainers”; Bickle mocks anyone with traditional philosophical concerns, including “naturalistic philosophers of mind” and other neurophilosophers

This article is about a sidebar in James Gibson's last book, The ecological approach to visual perception. In this sidebar, Gibson, the founder of the ecological perspective of perception and action, argued that to perceive an affordance is not to classify an object. Although this sidebar has received scant attention, it is of great significance both historically and for recent discussions about specificity, direct perception, and the functions of the dorsal and ventral streams. It is argued that Gibson's acknowledgment of Wittgenstein's ideas of classification suggests a limited scope of his theory of direct perception?it cannot account for the classification of objects. The implications for both the specification debate and theorizing about the brain's dorsal and ventral pathways are explored. Based on a recent ecological conception of information and direct perception, we ultimately argue that both affordance perception and classification are direct

This comprehensive new book introduces the core history of phenomenology and assesses its relevance to contemporary psychology, philosophy of mind, and cognitive science. From critiques of artificial intelligence research programs to ongoing work on embodiment and enactivism, the authors trace how phenomenology has produced a valuable framework for analyzing cognition and perception, whose impact on contemporary psychological and scientific research, and philosophical debates continues to grow. The first part of _An Introduction to Phenomenology_ is an extended overview of the history and development of phenomenology, looking at its key thinkers, focusing particularly on Husserl, Heidegger and Merleau-Ponty, as well as its cultural and intellectual precursors. In the second half Chemero and Käufer turn their attention to the contemporary interpretations and uses of phenomenology in cognitive science, showing that phenomenology is a living source of inspiration in contemporary interdisciplinary studies of the mind. Käufer and Chemero have written a clear, jargon-free account of phenomenology, providing abundant examples and anecdotes to illustrate and to entertain. This book is an ideal introduction to phenomenology and cognitive science for the uninitiated, as well as for philosophy and psychology students keen to deepen their knowledge