LNAI 2801 An Imitation Game for Emerging Action Categories 1st Edition by Bart Jansen ISBN 9783540200574 354020057X

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Product details:
ISBN 10: 354020057X
ISBN 13: 9783540200574
Author: Bart Jansen

An imitation game for learning action categories is proposed. It serves to invent and share a repertoire of action categories in a population of robotic agents. The agents start without any action categories built in, but they learn by imitating other agents and gradually invent categories for the actions they observe and execute. In other words, no action categories need to be defined beforehand, nor do agents have to be assigned fixed roles. If the population only consists of two agents, the repertoire of action categories can be learnt without feedback about the outcome of the game between both agents.

LNAI 2801 An Imitation Game for Emerging Action Categories 1st Edition Table of contents:

Chapter 1: Introduction to Imitation and Action Categories

• What is Imitation in Cognitive Science?
• The Importance of Action Categories in Human Behavior
• How Action Categories Emerge in Social and Cognitive Contexts
• Research Goals and Structure of the Book

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Chapter 2: Theoretical Foundations of Imitation

• Defining Imitation: Types and Mechanisms
• Cognitive and Neural Bases of Imitative Behavior
• Imitation in Animals vs. Humans
• The Role of Imitation in Learning and Social Interaction

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Chapter 3: Understanding Action Categories

• Defining Action Categories in Cognitive Science and Psychology
• The Development of Action Categories in Human Cognition
• Action Categorization and Memory: How Actions Are Organized and Retrieved
• The Role of Action Categories in Communication and Interaction

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Chapter 4: The Imitation Game as a Framework

• Origins of the Imitation Game: Alan Turing and Beyond
• How Imitation Games Are Used to Model Learning and Behavior
• The Structure and Dynamics of an Imitation Game
• Applying the Imitation Game to Study Emerging Action Categories

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Chapter 5: Modeling Action Category Emergence

• The Process of Action Category Formation in Cognitive Systems
• Simulating the Emergence of Action Categories Through Imitation Games
• Agent-Based Models of Action Categorization
• Dynamic Adaptation of Agents’ Action Categories in the Imitation Game

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Chapter 6: Experimental Setup and Methodology

• Designing Experiments to Study Action Category Emergence
• Participants and Tools for Conducting Imitation Games
• Data Collection and Analysis Methods
• Key Metrics for Evaluating the Emergence of Action Categories

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Chapter 7: Case Studies and Simulations

• Case Study 1: Simple Action Imitation in Controlled Environments
• Case Study 2: Complex Social Action Categories and Group Learning
• Simulations of Agent Interactions Leading to Action Category Emergence
• Real-World Applications and Insights from the Imitation Game

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Chapter 8: The Role of Social Interaction in Action Categorization

• Social Learning and the Influence of Others on Action Categorization
• Collective vs. Individual Action Category Formation
• How Social Dynamics Shape the Emergence of Action Categories
• Interaction and Coordination in Group Imitation Games

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Chapter 9: Implications for Cognitive Science and AI

• Theories of Cognition and Learning in Light of the Imitation Game
• Implications for Artificial Intelligence and Machine Learning
• Designing AI Systems with Emergent Action Categorization
• Integrating Social Learning into Cognitive Models and AI Algorithms

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Chapter 10: Future Directions and Challenges

• Limitations of the Current Framework and Methodology
• Scaling the Imitation Game to More Complex Scenarios
• Addressing Real-World Complexity and Uncertainty in Action Categorization
• Future Research Paths in Cognitive Science and Imitation Theory

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