Design of Intelligent Multi-Agent Systems [electronic resource] : Human-Centredness, Architectures, Learning and Adaptation / by Nikhil Ichalkaranje, Lakhmi C. Jain, Rajiv Khosla.Material type: TextLanguage: English Series: Studies in Fuzziness and Soft Computing: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Description: XVII, 450 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540445166Subject(s): Engineering | Artificial intelligence | Computer science | Engineering mathematics | Engineering | Appl.Mathematics/Computational Methods of Engineering | Control, Robotics, Mechatronics | Artificial Intelligence (incl. Robotics) | Computer ApplicationsAdditional physical formats: Printed edition:: No titleDDC classification: 519 LOC classification: TA329-348TA640-643Online resources: Click here to access online
1. Humanization of soft computing agents -- 2. Software agents for ubiquitous computing -- 3. Agents-based knowledge logistics -- 4. Architectural styles and patterns for multi-agent systems -- 5. Design and behavior of a massive organization of agents -- 6. Developing agent-based applications with JADE -- 7. A collective can do better -- 8. Coordinating multi-agent assistants with an application by means of computational reflection -- 9. Learning by exchanging advice -- 10. Adaptation and mutation in multi-agent systems and beyond -- 11. Intelligent action acquisition for animated learning agents -- 12. Using stationary and mobile agents for information retrieval and e-commerce.
The ongoing transition of Intelligent Systems Research and in particular the agent based research into the real world has resulted in the emergence of new phenomena distinct from the traditional logic-centered approach. This books focuses on those new trends in design and evolution of the agent technology such as humanization, architectures and learning of agents. "Design of Intelligent Multi-Agent Systems" presents the application of soft computing agents to complex real world problems in distributed environments, humanization of the agents and the optimization of their performance.