
Published online:
23 January 2014
Published in print:
13 June 2013
Online ISBN:
9780199345236
Print ISBN:
9780199794546
Contents
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8.1 Introduction 8.1 Introduction
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8.2 Core Cognitive Criteria 8.2 Core Cognitive Criteria
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8.2.1 Representational Structure 8.2.1 Representational Structure
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8.2.1.1 Systematicity 8.2.1.1 Systematicity
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8.2.1.2 Compositionality 8.2.1.2 Compositionality
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8.2.1.3 Productivity 8.2.1.3 Productivity
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8.2.1.4 The Massive Binding Problem 8.2.1.4 The Massive Binding Problem
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8.2.2 Performance Concerns 8.2.2 Performance Concerns
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8.2.2.1 Syntactic Generalization 8.2.2.1 Syntactic Generalization
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8.2.2.2 Robustness 8.2.2.2 Robustness
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8.2.2.3 Adaptability 8.2.2.3 Adaptability
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8.2.2.4 Memory 8.2.2.4 Memory
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8.2.2.5 Scalability 8.2.2.5 Scalability
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8.2.3 Scientific Merit 8.2.3 Scientific Merit
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8.2.3.1 Triangulation (Contact With More Sources of Data) 8.2.3.1 Triangulation (Contact With More Sources of Data)
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8.2.3.2 Compactness 8.2.3.2 Compactness
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8.3 Conclusion 8.3 Conclusion
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8.4 Nengo Bonus: How to Build a Brain–a Practical Guide 8.4 Nengo Bonus: How to Build a Brain–a Practical Guide
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Chapter
8. Evaluating Cognitive Theories
Get access
Pages
295–320
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Published:June 2013
Cite
Eliasmith, Chris, 'Evaluating Cognitive Theories', How to Build a Brain: A Neural Architecture for Biological Cognition, Oxford Series on Cognitive Models and Architectures (2013; online edn, Oxford Academic, 23 Jan. 2014), https://doi.org/10.1093/acprof:oso/9780199794546.003.0008, accessed 5 May 2025.
Abstract
This is the first of the final three chapters of the book, which are concerned with evaluating the presented approach in the context of current cognitive modeling. This chapter re-presents the Core Cognitive Criteria (CCC) from chapter one, discussing and justifying each in more detail. The criteria are broken into three main sections, representational structure, performance concerns, and scientific merit. They cover familiar constraints, such as systematicity, compositionality and productivity, and include less common criteria, such as robustness, scalability, and compactness. Tutorial: How to build a brain – a practical guide
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