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Springer Embodied Multi-Agent Systems Machine Learning Book

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Description

Expand your technical knowledge with Embodied Multi-Agent Systems: Perception, Action, and Learning. Published by Springer as part of the Machine Learning: Foundations, Methodologies, and Applications series, this book provides a deep look into the complex field of AI and machine learning. This academic resource is designed for professionals and students interested in how multi-agent systems interact with their environments through perception and action. By focusing on the foundational methodologies of machine learning, this text serves as a significant addition to any computer science library. Whether you are researching autonomous systems or studying advanced computational models, this Springer publication offers the specialized content needed to understand the mechanics of embodied intelligence in modern computing.

Key Features

Part of the Springer Machine Learning series covering foundations, methodologies, and applications.

Focuses on the core concepts of perception, action, and learning within multi-agent systems.

Specialized content for researchers in the fields of AI and machine learning.

Detailed academic approach to understanding embodied multi-agent interactions.

A valuable resource for computer science students and professional developers.

Product Specifications

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

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