£107.98

Springer Multi-Hierarchical Representation of Large-Scale Space

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Description

Explore advanced computational methods for mobile robotics in this specialized volume from Springer. This book examines how hierarchical information can reduce problem-solving complexity, drawing inspiration from how the human brain structures spatial environments to improve task efficiency and route finding. This work introduces the Multi-AH-graph model, a new approach that utilizes multiple hierarchies of abstraction. By employing these layers, an agent can better represent structural information within large-scale spaces. It serves as a technical resource for those studying intelligent systems, control, and automation within the science and engineering field. Whether you are researching AI, machine learning, or robotic spatial navigation, this text provides a mathematical and structural foundation for managing complex environmental data.

Key Features

Introduces the Multi-AH-graph model which uses multiple hierarchies of abstraction for better data management.

Provides a framework for agents to represent structural information within large-scale spatial environments.

Explores the connection between human cognitive spatial structuring and computational efficiency.

Focuses on reducing complexity in problem-solving through hierarchical information use.

Part of the Intelligent Systems, Control and Automation: Science and Engineering series.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 December 2010
Listed Since
01 October 2010

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No barcode data available

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