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Computational Architectures Integrating Neural and Symbolic Processes
Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art focuses on a currently emerging body of research. With the reemergence of neural networks in the 1980s with their emphasis on overcoming some of the limitations of symbolic AI, there is clearly a need to support some form of high-level symbolic processing in connectionist networks. As argued by many researchers, on both the symbolic AI and connectionist sides, many cognitive tasks, e.g. language understanding and common sense reasoning, seem to require high-level symbolic capabilities. How these capabilities are realized in connectionist networks is a difficult question and it constit...
Phonology in Perception
Review text: "This volume contains exciting and potentially valuable new contributions that attempts to expand our understanding of the role of phonology and phonetics in speech perception. This volume has much to contribute for not just linguistics, but psycholinguistics more generally, and so concepts contained in this volume should form the basis of many discussions in future speech perception studies."Andrew Blyth in: Linguist List 21.3465.
Lexical Representation
This book includes the work of experts from a wide range of backgrounds who share the desire to understand how the human brain represents words. The focus of the volume is on the nature and structure of word forms and morphemes, the processes operating on the speech input to gain access to lexical representations, the modeling and acquisition of these processes, and on the neural underpinnings of lexical representation and process.
Semantic Cognition
A mechanistic theory of the representation and use of semantic knowledge that uses distributed connectionist networks as a starting point for a psychological theory of semantic cognition.
Attention and Performance XVI
The contributions to this volume, the sixteenth in the prestigious Attention and Performance series, revisit the issue of modularity, the idea that many functions are independently realized in specialized, autonomous modules. Although there is much evidence of modularity in the brain, there is also reason to believe that the outcome of processing, across domains, depends on the synthesis of a wide range of constraining influences. The twenty-four chapters in Attention and Performance XVI look at how these influences are integrated in perception, attention, language comprehension, and motor control. They consider the mechanisms of information integration in the brain; examine the status of the modularity hypothesis in light of efforts to understand how information integration can be successfully achieved; and discuss information integration from the viewpoints of psychophysics, physiology, and computational theory. A Bradford Book. Attention and Performance series.
The 1989 Neuro-computing Bibliography
This comprehensive bibliography provides a functional, flexible tool for researchers and engineers in neurocomputing.
