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Embedded Automation in Human-Agent Environment: Adaptation, Learning, and Optimization, cartea 10

Autor Jeff Tweedale, Lakhmi C. Jain
en Limba Engleză Hardback – 15 sep 2011
This research book proposes a general conceptual framework for the development of automation in human-agents environments that will allow human- agent teams to work effectively and efficiently. We examine various schemes to implement artificial intelligence techniques in agents.  The text is directed to the scientists, application engineers, professors and students of all disciplines, interested in the agency methodology and applications.
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Specificații

ISBN-13: 9783642226755
ISBN-10: 3642226752
Pagini: 260
Ilustrații: XX, 212 p.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.5 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Adaptation, Learning, and Optimization

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1 Introduction to Embedded Automation.- 2 Innovation in Modern Artificial Intelligence.- 3 Research Directions in Automation.- 4 Agent System Frameworks.- 5 Agent Interoperability and Adaptation.- 6 Enhancing Autonomy.- 7 Improving Agent Architectures.- 8 Agent Oriented Programming.- 9 Creating an Agent Factory.- 10 Case Study Background - Sudoku.- 11 Problem Solving Workshop.- 12 Future and Direction.

Textul de pe ultima copertă

This research book proposes a general conceptual framework for the development of automation in human-agents environments that will allow human- agent teams to work effectively and efficiently. We examine various schemes to implement artificial intelligence techniques in agents.  The text is directed to the scientists, application engineers, professors and students of all disciplines, interested in the agency methodology and applications.

Caracteristici

Presents a general conceptual framework for the development of automation in human-agents environments Recent Advances of Embedded Automation in Human-Agent Environment Written by leading experts in the field