- Title Pages
- Foreword
- 1 Metareasoning: An Introduction
- 2 There’s No “Me” in “Meta”—Or Is There?
- 3 Metareasoning and Bounded Rationality
- 4 Learning Expertise with Bounded Rationality and Self-Awareness
- 5 Controlling Deliberation in Coordinators
- 6 Goal-Directed Metacontrol for Integrated Procedure Learning
- 7 Metareasoning for Multispectral Satellite Image Interpretation
- 8 Metareasoning as a Formal Computational Problem
- 9 Metareasoning, Monitoring, and Self-Explanation
- 10 Metareasoning for Self-Adaptation in Intelligent Agents
- 11 Using Introspective Reasoning to Improve CBR System Performance
- 12 The Metacognitive Loop and Reasoning about Anomalies
- 13 Coordinating Agents’ Metalevel Control
- 14 The Role of Metareasoning in Achieving Effective Multiagent Coordination
- 15 Distributed Metamanagement for Self-Protection and Self-Explanation
- 16 Weighted Prediction Divergence for Metareasoning
- 17 Metareasoning as an Integral Part of Commonsense and Autocognitive Reasoning
- 18 Robotic Models of Self
- 19 Anthropomorphic Self-Models for Metareasoning Agents
- 20 Varieties of Metacognition in Natural and Artificial Systems
- Contributors
- Index
Varieties of Metacognition in Natural and Artificial Systems
Varieties of Metacognition in Natural and Artificial Systems
- Chapter:
- (p.307) 20 Varieties of Metacognition in Natural and Artificial Systems
- Source:
- Metareasoning
- Author(s):
Aaron Sloman
- Publisher:
- The MIT Press
This chapter surveys varieties of metacognition, drawing attention to requirements that drove biological evolution and which are also relevant to ambitious engineering goals. It shows how designs produced by evolution, especially designs involving dedicated processors with different functions, escape some of the problems faced by artificial intelligence (AI) researchers considering metareasoning in systems based on general computers. It also indicates how detailed studies of the very complex environments in which animals evolved or future robots may have to perform can lead to new requirements and new opportunities for metacognition.
Keywords: metacognition, evolution, artificial intelligence, metareasoning
MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
Please, subscribe or login to access full text content.
If you think you should have access to this title, please contact your librarian.
To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.
- Title Pages
- Foreword
- 1 Metareasoning: An Introduction
- 2 There’s No “Me” in “Meta”—Or Is There?
- 3 Metareasoning and Bounded Rationality
- 4 Learning Expertise with Bounded Rationality and Self-Awareness
- 5 Controlling Deliberation in Coordinators
- 6 Goal-Directed Metacontrol for Integrated Procedure Learning
- 7 Metareasoning for Multispectral Satellite Image Interpretation
- 8 Metareasoning as a Formal Computational Problem
- 9 Metareasoning, Monitoring, and Self-Explanation
- 10 Metareasoning for Self-Adaptation in Intelligent Agents
- 11 Using Introspective Reasoning to Improve CBR System Performance
- 12 The Metacognitive Loop and Reasoning about Anomalies
- 13 Coordinating Agents’ Metalevel Control
- 14 The Role of Metareasoning in Achieving Effective Multiagent Coordination
- 15 Distributed Metamanagement for Self-Protection and Self-Explanation
- 16 Weighted Prediction Divergence for Metareasoning
- 17 Metareasoning as an Integral Part of Commonsense and Autocognitive Reasoning
- 18 Robotic Models of Self
- 19 Anthropomorphic Self-Models for Metareasoning Agents
- 20 Varieties of Metacognition in Natural and Artificial Systems
- Contributors
- Index
