£131.39

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Springer Embodied Multi-Agent Systems: Perception, Action, Learning

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Description

Embodied Multi-Agent Systems: Perception, Action, and Learning is a comprehensive academic text published by Springer as part of the Machine Learning: Foundations, Methodologies, and Applications series. This book explores the intersection of embodied artificial intelligence and multi-agent system design, focusing on how autonomous agents perceive their environments, execute actions, and continuously improve through learning mechanisms. Designed for researchers, graduate students, and professionals in computer science and artificial intelligence, this volume provides foundational theory alongside practical methodologies for developing intelligent systems that interact with physical or simulated worlds. The text integrates cutting-edge research in machine learning, robotics, and distributed systems, offering readers a thorough understanding of how embodied cognition principles apply to modern AI development and multi-agent coordination challenges.

Key Features

Springer publication providing peer-reviewed academic content on embodied artificial intelligence systems and their theoretical foundations.

Covers perception mechanisms, action selection, and learning algorithms essential for multi-agent system development and deployment.

Part of the Machine Learning: Foundations, Methodologies, and Applications series, integrating comprehensive methodological frameworks for AI research.

Addresses both theoretical principles and practical applications relevant to robotics, autonomous systems, and distributed intelligent agents.

Designed for advanced readers including researchers, graduate students, and AI professionals seeking deep expertise in embodied cognition.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 May 2025
Listed Since
12 March 2025

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