Zenon Pylyshyn is a towering figure in cognitive science; his book "Computation and Cognition" (MIT Press, 1984) is a foundational presentation of the relationship between cognition and computation. His recent work on vision and its preconceptual mechanism has been influential and controversial. In this book, leading cognitive scientists address major topics in Pylyshyn's work and discuss his contributions to the cognitive sciences. Contributors discuss vision, considering such topics as multiple-object tracking, action, molecular and cellular cognition, and inhibition of return; and foundational issues, including connectionism, modularity, the evolution of the perception of number, computation, cognitive architecture, location, and visual sensory representations of objects.

Computational Organizational Cognition presents simulations to clearly assess the advantages of agent-based computational organizational cognition (AOC) for both theory and practice, demonstrating how AOC is an essential instrument to explore, understand and analyze the inner complexities of organizational cognition.

This 1997 book examines recent changes in the design of intelligent machines which afford heightened interactivity with the environment.

This book presents the complete collection of peer-reviewed presentations at the 1999 Cognitive Science Society meeting, including papers, poster abstracts, and descriptions of conference symposia. For students and researchers in all areas of cognitive science.

This textbook explores the ways in which language informs the structure and function of the human mind, offering a point of entry into the fascinating territory of cognitive science. Focusing mainly on syntactic issues, Language in Cognition is a unique contribution to this burgeoning field of study. Guides undergraduate students through the core questions of linguistics and cognitive science, and provides tools that will help them think about the field in a structured way Uses the study of language and how language informs the structure and function of the human mind to introduce the major ideas in modern cognitive science, including its history and controversies Explores questions such as: what does it mean to say that linguistics is part of the cognitive sciences; how do the core properties of language compare with the core properties of other human cognitive abilities such as vision, music, mathematics, and other mental building blocks; and what is the relationship between language and thought? Includes an indispensable study guide as well as extensive references to encourage further independent study

This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises or will raise. The key issues this volume investigates include the relation of AI and cognitive science, ethics of AI and robotics, brain emulation and simulation, hybrid systems and cyborgs, intelligence and intelligence testing, interactive systems, multi-agent systems, and super intelligence. Based on the 2nd conference on “Theory and Philosophy of Artificial Intelligence” held in Oxford, the volume includes prominent researchers within the field from around the world.

In this 2013 winner of the prestigious R.R. Hawkins Award from the Association of American Publishers, as well as the 2013 PROSE Awards for Mathematics and Best in Physical Sciences & Mathematics, also from the AAP, readers will find many of the most significant contributions from the four-volume set of the Collected Works of A. M. Turing. These contributions, together with commentaries from current experts in a wide spectrum of fields and backgrounds, provide insight on the significance and contemporary impact of Alan Turing's work. Offering a more modern perspective than anything currently available, Alan Turing: His Work and Impact gives wide coverage of the many ways in which Turing's scientific endeavors have impacted current research and understanding of the world. His pivotal writings on subjects including computing, artificial intelligence, cryptography, morphogenesis, and more display continued relevance and insight into today's scientific and technological landscape. This collection provides a great service to researchers, but is also an approachable entry point for readers with limited training in the science, but an urge to learn more about the details of Turing's work. - 2013 winner of the prestigious R.R. Hawkins Award from the Association of American Publishers, as well as the 2013 PROSE Awards for Mathematics and Best in Physical Sciences & Mathematics, also from the AAP - Named a 2013 Notable Computer Book in Computing Milieux by Computing Reviews - Affordable, key collection of the most significant papers by A.M. Turing - Commentary explaining the significance of each seminal paper by preeminent leaders in the field - Additional resources available online

This book describes a novel methodology for studying algorithmic skills, intended as cognitive activities related to rule-based symbolic transformation, and argues that some human computational abilities may be interpreted and analyzed as genuine examples of extended cognition. It shows that the performance of these abilities relies not only on innate neurocognitive systems or language-related skills, but also on external tools and general agent–environment interactions. Further, it asserts that a low-level analysis, based on a set of core neurocognitive systems linking numbers and language, is not sufficient to explain some specific forms of high-level numerical skills, like those involved in algorithm execution. To this end, it reports on the design of a cognitive architecture for modeling all the relevant features involved in the execution of algorithmic strategies, including external tools, such as paper and pencils. The first part of the book discusses the philosophical premises for endorsing and justifying a position in philosophy of mind that links a modified form of computationalism with some recent theoretical and scientific developments, like those introduced by the so-called dynamical approach to cognition. The second part is dedicated to the description of a Turing-machine-inspired cognitive architecture, expressly designed to formalize all kinds of algorithmic strategies.

This 2004 book provides the foundations for the view that the mind extends beyond the boundary of the individual.

This book constitutes the refereed proceedings of the 10th Conference on Computability in Europe, CiE 2014, held in Budapest, Hungary, in June 2014. The 42 revised papers presented were carefully reviewed and selected from 78 submissions and included together with 15 invited papers in this proceedings. The conference had six special sessions: computational linguistics, bio-inspired computation, history and philosophy of computing, computability theory, online algorithms and complexity in automata theory.