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Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI by Marjorie Mcshane at Abbey's Bookshop,
Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI
— —
Marjorie Mcshane Sergei Nirenburg

Agents in the Long Game of AI

Computational Cognitive Modeling for Trustworthy, Hybrid AI

Marjorie Mcshane,  Sergei Nirenburg,  Jesse English

$140

Paperback

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English
MIT Press
03 September 2024
Computing: general
A novel approach to hybrid AI aimed at developing trustworthy agent collaborators.

A novel approach to hybrid AI aimed at developing trustworthy agent collaborators.

The vast majority of current AI relies wholly on machine learning (ML). However, the past thirty years of effort in this paradigm have shown that, despite the many things that ML can achieve, it is not an all-purpose solution to building human-like intelligent systems. One hope for overcoming this limitation is hybrid AI- that is, AI that combines ML with knowledge-based processing. In Agents in the Long Game of AI, Marjorie McShane, Sergei Nirenburg, and Jesse English present recent advances in hybrid AI with special emphases on content-centric computational cognitive modeling, explainability, and development methodologies.

At present, hybridization typically involves sprinkling knowledge into an ML black box. The authors, by contrast, argue that hybridization will be best achieved in the opposite way- by building agents within a cognitive architecture and then integrating judiciously selected ML results. This approach leverages the power of ML without sacrificing the kind of explainability that will foster society's trust in AI. This book shows how we can develop trustworthy agent collaborators of a type not being addressed by the ""ML alone"" or ""ML sprinkled by knowledge"" paradigms-and why it is imperative to do so.
By:   , ,
Imprint:   MIT Press
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 152mm, 
Weight:   369g
ISBN:   9780262549424
ISBN 10:   0262549425
Pages:   350
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active
Contents Chapter 1. Setting the Stage Chapter 2. Content-Centric Cognitive Modeling Chapter 3. Knowledge Bases Chapter 4. Language Understanding and Generation Chapter 5. The Trajectory of Microtheory Development: The Example of Coreference Chapter 6. Dialog as Perception, Reasoning and Action Chapter 7. Learning Chapter 8. Explanation Chapter 9. Knowledge Acquisition Chapter 10. Disrupting the Dominant Paradigm Notes References Index

Marjorie McShane and Sergei Nirenburg are Professors in the Cognitive Science Department and Co-Directors of the Language-Endowed Intelligent Agents Lab at Rensselaer Polytechnic Institute. Jesse English is Senior Research Scientist in the Language-Endowed Intelligent Agents Lab at Rensselaer Polytechnic Institute.

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