Connectionist-Symbolic Integration : From Unified to Hybrid Approaches

ISBN-13: 9780805823486 / Angielski / Twarda / 1997 / 392 str.

Ron Sun; Frederic Alexandre

Opis

A variety of ideas, approaches and techniques exist - in terms of both architecture and learning - and this abundance seems to lead to many exciting possibilities in terms of theoretical advances and application potentials. Despite the apparent diversity, there is clearly an underlying unifying theme: architecures that bring together symbolic and connectionist models to achieve a synthesis and synergy of the two different paradigms, and the learning and knowledge acquisition methods for developing such architectures. More effort needs to be extended to exploit the possibilities and opportunities in this area. This book is the outgrowth of the IJCAI Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, held in conjunction with the 14th International Joint Conference on Artificial Intelligence (IJCAI'95).

Recenzje

"...written in an easy to understand manner and it can serve as an excellent reference for anyone (e.g., students, researchers, and practitioners) dealing with intelligent systems....The editors, and the participant authors, should be congratulated for producing a well edited volume on an important subject."
—IIE Transaction

Spis treści

Contents: Preface. R. Sun, An Introduction to Hybrid Connectionist-Symbolic Models. Part I: Reviews and Overviews M. Hilario, An Overview of Strategies for Neurosymbolic Integration. R. Khosla, T. Dillon, Task Structure Level Symbolic-Connectionist Architecture. Y. Lallement, F. Alexandre, Cognitive Aspects of Neurosymbolic Integration. L. Magdalena, A First Approach to a Taxonomy of Fuzzy-Neural Systems. Part II: Learning in Multi-Module Systems T. Johnson, J. Zhang, H. Wang, A Hybrid Learning Model of Abductive Reasoning. R. Sun, T. Peterson, A Hybrid Agent Architecture for Reactive Sequential Decision Making. M. Malek, B. Amy, A Preprocessing Model for Integrating Case-Based Reasoning and Prototype-Based Neural Network. B. Orsier, A. Labbi, A Step Toward Fully Integrated Hybrid Systems. J.C. González, J.R. Velasco, C.A. Iglesias, A Distributed Platform for Symbolic-Connectionist Interoperation. Part III: Representing Symbolic Knowledge. B. Kokinov, Micro-Level Hybridization in the Cognitive Architecture Dual. S. Stevenson, An Integrated Symbolic/Connectionist Parsing Architecture. X. Wu, M. McTear, P. Ojha, H. Dai, A Hybrid System Framework for Disambiguating Word Senses. N.S. Park, D. Robertson, A Localist Network Architecture for Logical Inference. J. Austin, A Distributed Associative Memory for Symbolic Reasoning. E. Mjolsness, Symbolic Neural Networks Derived From Stochastic Grammar Domain Models. Part IV: Acquiring Distributed Representation. T.A. Plate, Structure Matching and Transformation With Distributed Representations. A. Sperduti, A. Starita, C. Goller, Distributed Representations for Terms in Hybrid Reasoning Systems. R. Krosley, M. Misra, Symbolic Distributed Representations. Part V: Epilog F. Alexandre, An Analysis of Connectionist-Symbolic Integration.

O autorze

Ron Sun, Frederic Alexandre