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E-grāmata: Connectionism in Context

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  • Formāts: PDF+DRM
  • Sērija : Human-centred Systems
  • Izdošanas datums: 06-Dec-2012
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9781447119234
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Connectionism in ContextPalielināt
  • Formāts: PDF+DRM
  • Sērija : Human-centred Systems
  • Izdošanas datums: 06-Dec-2012
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9781447119234
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Connectionism in Context aims to broaden and extend thedebate concerning the significance of connectionist models.The volume collects together a variety of perspectives byexperimental and developmental psychologists, philosophersand active AI researchers. These contributions relate con-nectionist ideas to historical psychlogical debates, e.g.,over behaviourism and associationism, to develop-mental and philosophical issues. The result is a volumewhich addresses both familiar, but central, topics such asthe relation between connectionism and classical AI, andless familiar, but highly challenging topics, such asconnectionism,associationism and behaviourism, the dis-tinction between perception and cognition, the role of en-vironmental structure, and the potential value ofconnec-tionism as a means of "symbol grounding". The nine essayshave been written with an interdisciplinary audience in mindand avoid both technical jargon and heavy mathematics.

Papildus informācija

Springer Book Archives
1. Introduction.- Architecture and Properties l.- A Copernican
Revolution.- Distributed Representations and Context Dependence.- The Nature
of Thought.-
2. Action, Connectionism and Enaction: A Developmental
Perspective.- Background.- Symbols, Connectionism and Innate Knowledge.-
System Scale and the Control of Action.- Development, Emergence and
Enaction.- Conclusion.-
3. Connectionism and Why Fodor and Pylyshyn Are
Wrong.- The Case Against Connectionism.- Whats Wrong with this Argument.-
Whats Wrong with this Defence?.- On Behalf of Neural Networks.-
4.
Connectionism, Classical Cognitive Science and Experimental Psychology.-
Classicism Versus Connectionism.- The Psychological Data.- Theory.-
Modelling.- Conclusions.-
5. Connecting Object to Symbol in Modelling
Cognition.- Symbol Systems.- The Symbolic Theory of Mind.- The Symbol
Grounding Problem.- Neural Nets.- Transducers and Analogue Transformations.-
Robotic Capacities: Discrimination and Identification.- Philosophical
Objections to Bottom-Up Grounding of Concrete and Abstract Categories.-
Categorical Perception and Category-Learning.- Neural Net and CP.- Analogue
Constraints on Symbols.- 6 Active Symbols and Internal Models: Towards a
Cognitive Connectionism.- Criticisms of Connectionism.- The Active Symbol.-
Higher-Level Processes.- Summary and Concluding Remarks.-
7. Thinking Persons
and Cognitive Science.- Extending Content.- The Credentials of Cognition.-
Consciousness and What It Is Like.- Conceptualized Content and the Structure
of Thinking.- Inference and Causal Systernaticity.- Reconstructing the Mind.-
8. A Brief History of Connectionism and Its Psychological Implications.-
Connectionist Assumptions in Earlier Psychologies.- Comparisons of Old and
New Connectionism.- Conclusions.-
9. Connectionismand Artificial Intelligence
as Cognitive Models.- Artificial Intelligence.- Connectionism.- Classical AI
and Connectionism.-
10. The Neural Dynamics of Conversational Coherence.-
Previous Research.- A Neurally Inspired Model of Coherence.- Some
Experimental Results.- How Associative Is Conversation?.- Final on the
Purpose of Conversation.
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