Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence
Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence

Author: Jose Mira

Publisher: Springer Science & Business Media

Published: 2001-06-05

Total Pages: 862

ISBN-13: 3540422358

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This book constitutes, together with its companion, LNCS 2085, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain, in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and congnitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields.

Connectionism and the Mind
Connectionism and the Mind

Author: William Bechtel

Publisher: Wiley-Blackwell

Published: 2002-01-21

Total Pages: 424

ISBN-13: 9780631207139

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Connectionism and the Mind provides a clear and balanced introduction to connectionist networks and explores theoretical and philosophical implications. Much of this discussion from the first edition has been updated, and three new chapters have been added on the relation of connectionism to recent work on dynamical systems theory, artificial life, and cognitive neuroscience. Read two of the sample chapters on line: Connectionism and the Dynamical Approach to Cognition: http://www.blackwellpublishing.com/pdf/bechtel.pdf Networks, Robots, and Artificial Life: http://www.blackwellpublishing.com/pdf/bechtel2.pdf

Artificial Neural Network Modelling
Artificial Neural Network Modelling

Author: Subana Shanmuganathan

Publisher: Springer

Published: 2016-02-03

Total Pages: 468

ISBN-13: 3319284959

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This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.

Interpreting Consumer Choice
Interpreting Consumer Choice

Author: Gordon Foxall

Publisher: Routledge

Published: 2009-09-10

Total Pages: 370

ISBN-13: 1135238081

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Interpretive consumer research usually proceeds with a minimum of structure and preconceptions. This book presents a more structured approach than is usual, showing how a simple framework that embodies the rewards and costs associated with consumer choice can be used to interpret a wide range of consumer behaviours from everyday purchasing and saving, innovative choice, imitation, ‘green’ consumer behavior, to compulsive behaviors such as addictions (to shopping, to gambling, to alcohol and other drugs, etc). Foxall takes a qualitative approach to interpreting behavior, focusing on the epistemological problems that arise in such research and emphasizing the emotional as well as cognitive aspects of consumption. The author argues that consumer behaviour can be understood with the aid of a very simple model that proposes how the consequences of consumption impact consumers’ subsequent choices. The objective is to show that a basic model can be used to interpret consumer behaviour in general, not in isolation from the marketing influences that shape it, but as a course of human choice that is dynamically linked with managerial concerns.

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence
Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence

Author: Jose Mira

Publisher: Springer

Published: 2003-06-29

Total Pages: 862

ISBN-13: 3540457208

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Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:“Whatdoesneurosciencebringintocomputation(thenew bionics)?” That is to say, how can we seek inspiration in biology? Titles such as “computational intelligence”, “arti?cial neural nets”, “genetic algorithms”, “evolutionary hardware”, “evolutive architectures”, “embryonics”, “sensory n- romorphic systems”, and “emotional robotics” are representatives of the present interest in “biological electronics” (bionics). Thesecondquestionis:“Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?” That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.

Hybrid Neural Systems
Hybrid Neural Systems

Author: Stefan Wermter

Publisher: Springer Science & Business Media

Published: 2000-03-29

Total Pages: 411

ISBN-13: 3540673059

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Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems. The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.

CIRP Encyclopedia of Production Engineering
CIRP Encyclopedia of Production Engineering

Author: The International Academy for Produ

Publisher: Springer

Published: 2014-04-08

Total Pages: 0

ISBN-13: 9783642206160

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The CIRP Encyclopedia covers the state-of-art of advanced technologies, methods and models for production, production engineering and logistics. While the technological and operational aspects are in the focus, economical aspects are addressed too. The entries for a wide variety of terms were reviewed by the CIRP-Community, representing the highest standards in research. Thus, the content is not only evaluated internationally on a high scientific level but also reflects very recent developments.

Parallel Models of Associative Memory
Parallel Models of Associative Memory

Author: Geoffrey E. Hinton

Publisher: Psychology Press

Published: 2014-02-25

Total Pages: 378

ISBN-13: 1317785207

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This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.

Artificial Neural Networks
Artificial Neural Networks

Author: Joao Luis Garcia Rosa

Publisher: BoD – Books on Demand

Published: 2016-10-19

Total Pages: 416

ISBN-13: 9535127047

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The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.