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Models and Cognition
A groundbreaking argument challenging the traditional linguistic representational model of cognition proposes that representational states should be conceptualized as the cognitive equivalent of scale models. In this groundbreaking book, Jonathan Waskan challenges cognitive science's dominant model of mental representation and proposes a novel, well-devised alternative. The traditional view in the cognitive sciences uses a linguistic (propositional) model of mental representation. This logic-based model of cognition informs and constrains both the classical tradition of artificial intelligence and modeling in the connectionist tradition. It falls short, however, when confronted by the frame ...
Cognitive Science
Cognitive Science is a major new guide to the central theories and problems in the study of the mind and brain. The authors clearly explain how and why cognitive science aims to understand the brain as a computational system that manipulates representations. They identify the roots of cognitive science in Descartes - who argued that all knowledge of the external world is filtered through some sort of representation - and examine the present-day role of Artificial Intelligence, computing, psychology, linguistics and neuroscience. Throughout, the key building blocks of cognitive science are clearly illustrated: perception, memory, attention, emotion, language, control of movement, learning, understanding and other important mental phenomena. Cognitive Science: presents a clear, collaborative introduction to the subject is the first textbook to bring together all the different strands of this new science in a unified approach includes illustrations and exercises to aid the student
Model-Based Reasoning in Science and Technology
Systematically presented to enhance the feasibility of fuzzy models, this book introduces the novel concept of a fuzzy network whose nodes are rule bases and their interconnections are interactions between rule bases in the form of outputs fed as inputs.
The Compact Compendium of Experimental Philosophy
The relatively new movement of Experimental Philosophy applies different systematic experimental methods to further illuminate classical philosophical issues. This book brings together experts from the field to give the reader a compact yet extensive overview, offering a ready at hand introduction to the state of the art.
Cognitive Science
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Philosophies of the Sciences
A collection of essays discussing a wide range of sciences and the central philosophical issues associated with them, presenting the sciences collectively to encourage a greater understanding of their associative theoretical foundations, as well as their relationships to each other. Offers a new and unique approach to studying and comparing the philosophies of a variety of scientific disciplines Explores a wide variety of individual sciences, including mathematics, physics, chemistry, biology, psychology, sociology and economics The essays are written by leading scholars in a highly accessible style for the student audience Complements more traditional studies of philosophy of science
Constitutional Paradigms and the Stability of States
This book examines the influence of constitutional legal paradigms upon the political stability and viability of states. It contributes to the literature in the field by focussing on how constitutional flexibility may have led to the rise of 'successful' states and to the decline of 'unsuccessful' states, by promoting stability. Divided into two parts, the book considers theories of the rise and fall of civilizations and individual states, explains the concept of hard and soft constitutions and applies this concept to different types of state models. A series of international case studies in the second part of the book identifies the key dynamics in legal, political and economic history and includes the UK, US, New Zealand and Eastern Europe.
Discovering Complexity
An analysis of two heuristic strategies for the development of mechanistic models, illustrated with historical examples from the life sciences. In Discovering Complexity, William Bechtel and Robert Richardson examine two heuristics that guided the development of mechanistic models in the life sciences: decomposition and localization. Drawing on historical cases from disciplines including cell biology, cognitive neuroscience, and genetics, they identify a number of "choice points" that life scientists confront in developing mechanistic explanations and show how different choices result in divergent explanatory models. Describing decomposition as the attempt to differentiate functional and str...
Mental Mechanisms
First Published in 2007. Routledge is an imprint of Taylor & Francis, an informa company.
Process-Tracing Methods
Process-tracing in social science is a method for studying causal mechanisms linking causes with outcomes. This enables the researcher to make strong inferences about how a cause (or set of causes) contributes to producing an outcome. In this extensively revised and updated edition, Derek Beach and Rasmus Brun Pedersen introduce a refined definition of process-tracing, differentiating it into four distinct variants and explaining the applications and limitations of each. The authors develop the underlying logic of process-tracing, including how one should understand causal mechanisms and how Bayesian logic enables strong within-case inferences. They provide instructions for identifying the variant of process-tracing most appropriate for the research question at hand and a set of guidelines for each stage of the research process.
