Connectionist-Symbolic Integration: From Unified to Hybrid Approaches

Connectionist-Symbolic Integration: From Unified to Hybrid Approaches

Connectionist-Symbolic Integration: From Unified to Hybrid Approaches

Connectionist-Symbolic Integration: From Unified to Hybrid Approaches

Synopsis

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: architectures 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 fourteenth International Joint Conference on Artificial Intelligence (IJCAI '95). Featuring various presentations and discussions, this two-day workshop brought to light many new ideas, controversies, and syntheses which lead to the present volume. This book is concerned with the development, analysis, and application of hybrid connectionist-symbolic models in artificial intelligence and cognitive science. Drawing contributions from a large international group of experts, it describes and compares a variety of models in this area. The types of models discussed cover a wide range of the evolving spectrum of hybrid models, thus serving as a well-balanced progress report on the state of the art. As such, this volume provides an information clearinghouse for various proposed approaches and models that share the common belief that connectionist and symbolic models can be usefully combined and integrated, and such integration may lead to significant advances in understanding intelligence.

Excerpt

This book is concerned with the development, analysis, and application of hybrid connectionist-symbolic models in artificial intelligence and cognitive science, drawing contributions from an international group of leading experts. It describes and compares a variety of models in this area. the types of models described in this book cover a wide range of the evolving spectrum of hybrid models. Thus, it serves as a well-balanced progress report on the state of the art in this area. We hope that it will also stimulate its future development.

This book is the outgrowth of The ijcai Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, which was held for two days during August 19-20 in Montreal, Canada, in conjunction with the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI'95). the workshop was co-chaired by Ron Sun and Frederic Alexandre. It featured 23 presentations, including two invited talks, and two panel discussions. During the two days of the workshop, various presentations and discussions brought to light many new ideas, controversies, and syntheses, which lead to the present volume.

We hereby wish to thank all the participants of the workshop for their contributions that lead to the present book. We expecially would like to thank the members of the program and organization committees who reviewed papers or in other ways helped the organization of the workshop: John Barnden, Steve Gallant, Larry Medsker, Christian Pellegrini, Noel Sharkey, Lawrence Bookman, Michael Dyer, Wolfgang Ertel, LiMin Fu, Jose Gonzalez-Cristobal, Ruben Gonzalez-Rubio, Jean-Paul Haton, Melanie Hilario, Abderrahim Labbi, and Ronald Yager. We thank the two invited speakers at the workshop: Jim Hendler and Noel Sharkey, as well as each of the panelists. We also thank the editors at Lawrence Erlbaum Associates for their part in producing this book.

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