Cantitate/Preț
Produs

Multi-Hierarchical Representation of Large-Scale Space: Applications to Mobile Robots: Intelligent Systems, Control and Automation: Science and Engineering, cartea 24

Autor Juan A. Fernández, Javier González
en Limba Engleză Hardback – 31 dec 2001
It has been stated in psychology that human brain arranges information in a way that improves efficiency in performing common tasks, for example, information about our spatial environment is conveniently structured for efficient route finding. On the other hand, in computational sciences, the use of hierarchical information is well known for reducing the complexity of solving problems. This book studies hierarchical representations of large-scale space and presents a new model, called Multi-AH-graph, that uses multiple hierarchies of abstraction. It allows an agent to represent structural information acquired from the environment (elements such as objects, free space, etc., relations existing between them, such as proximity, similarity, etc. and other types of information, such as colors, shapes, etc). The Multi-AH-graph model extends a single hierarchy representation to a mUltiple hierarchy arrangement, which adapts better to a wider range of tasks, agents, and environments. We also present a system called CLAUDIA, which is an implementation of the task-driven paradigm for automatic construction of multiple abstractions: a set of hierarchies of abstraction will be "good" for an agent if it can reduce the cost of planning and performing certain tasks of the agent in the agent's world. CLAUDIA constructs multiple hierarchies (Multi-AH-graphs) for a given triple , trying to optimize their "goodness".
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 73602 lei  38-45 zile
  SPRINGER NETHERLANDS – 15 dec 2010 73602 lei  38-45 zile
Hardback (1) 74878 lei  38-45 zile
  SPRINGER NETHERLANDS – 31 dec 2001 74878 lei  38-45 zile

Din seria Intelligent Systems, Control and Automation: Science and Engineering

Preț: 74878 lei

Preț vechi: 98524 lei
-24%

Puncte Express: 1123

Preț estimativ în valută:
14346 15539$ 12302£

Carte tipărită la comandă

Livrare economică 06-13 mai

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781402001055
ISBN-10: 1402001053
Pagini: 300
Ilustrații: XX, 276 p.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.65 kg
Ediția:2002
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Intelligent Systems, Control and Automation: Science and Engineering

Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Descriere

It has been stated in psychology that human brain arranges information in a way that improves efficiency in performing common tasks, for example, information about our spatial environment is conveniently structured for efficient route finding. On the other hand, in computational sciences, the use of hierarchical information is well known for reducing the complexity of solving problems. This book studies hierarchical representations of large-scale space and presents a new model, called Multi-AH-graph, that uses multiple hierarchies of abstraction. It allows an agent to represent structural information acquired from the environment (elements such as objects, free space, etc., relations existing between them, such as proximity, similarity, etc. and other types of information, such as colors, shapes, etc). The Multi-AH-graph model extends a single hierarchy representation to a mUltiple hierarchy arrangement, which adapts better to a wider range of tasks, agents, and environments. We also present a system called CLAUDIA, which is an implementation of the task-driven paradigm for automatic construction of multiple abstractions: a set of hierarchies of abstraction will be "good" for an agent if it can reduce the cost of planning and performing certain tasks of the agent in the agent's world. CLAUDIA constructs multiple hierarchies (Multi-AH-graphs) for a given triple , trying to optimize their "goodness".

Cuprins

1. Introduction. 2. Hierarchies of Abstraction in Literature. 3. A Formal Model of Multiple Abstraction. 4. Hierarchical Path Search. 5. Automatic Generation of Multiple Hierarchies of Abstraction. 6. Multiple Hierarchies of Abstraction for Mobile Roots. 7. Conclusions. Appendices. References.