Agents in the Long Game of Ai: Computational Cognitive Modeling for Trustworthy, Hybrid Ai

Mcshane, Marjorie/ Nirenburg, Sergei/ English, Jesse

ISBN 10: 0262549425 / ISBN 13: 9780262549424

Published by Mit Pr, 2024

About this Item

352 pages. 9.00x6.00x1.00 inches. In Stock.

Seller Inventory # zk0262549425

Bibliographic Details

• Title: Agents in the Long Game of Ai: Computational Cognitive Modeling for Trustworthy, Hybrid Ai
• Publisher: Mit Pr
• Publication Date: 2024
• Language: English
• ISBN 10: 0262549425
• ISBN 13: 9780262549424
• Binding: Paperback
• Condition: Brand New
• Weight: 0.4 kilograms

About this title

Synopsis

Three experts offer a novel approach to hybrid AI—which combines machine learning with knowledge-based processing—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 machine learning 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 machine learning 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 a machine learning 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 machine learning results. This approach leverages the power of machine learning 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.

About the Author

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.