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| Preface Acknowledgments About the Editors Contributors Part 1 Intelligent Agents and Bio-Inspired Systems Chapter 1. A tutoring based approach to the development of intelligent agents Gheorghe Tecuci, Mihai Boicu, Kathryn Wright, Seok Won Lee, Dorin Marcu, and Michael Bowman 1. Intelligent agents 2. General issues and trends in the development of intelligent agents 3. The disciple approach for developing intelligent agents and an exemplary agent 4. Domain modeling for integrated knowledge repressentation, knowledge acquisition, learning and problem solving 5. Architecture of the disciple learning agent shell 6. The methodology of building disciple agents 6.1. Specification of the problem 6.2. Modeling the problem solving process as task reduction 6.3. Developing the customized agent 6.4. Importing concepts and features from other ontologies 6.5. Extending the ontology 6.6. Training the agent for its domain-specific tasks 6.7. Testing and using the agent 6.8. Experimental evaluation 7. Conclusions References Chapter 2. An object-oriented framework for building collaborative network agent Ladlslau Boloni, Dan C. Marinescu 1. Introduction I.1. Agent-based frameworks for interoperability 1.2. Distributed object systems supporting agents 2. Design principles for an agent-based system 2.1. Integration of agents into a distributed-object system 2.2. Component-based agents 2.3. Metaobjects 3. Bond middleware 3.1. Bond objetcs 3.2. Communication fabric 3.3. Probes, an aspect-oriented approach to complex object design 3.4. The architecture 4. Bond agents 4.1. Specifying an agent with the blueprint language 4.2. Creating an agent 4.3. Initialization of an agent 4.4. Starting and running an agent 4.5. Termination 5. Control and autonomous operation of agents 5.1. Internal and external control of an agent 5.2. Agent security 5.3. Implementation of strategies 5.4. The model of an agent 6. Case study: remote execution agent 6.1. From specification to the blueprint 6.2. Extending an agent 7. Summary of results and ongoing research References Chapter 3. Navigation: Animals as Autonomous Robots John E.R. Staddon, loan M. Chelaru 1. Introduction 2. Difusion based spatial navigation 2.1. Elements of a discrete two-dimensional navigation system 2.2. A discrete difusion process for spatial navigation 2.3. The route finder PART 2:Intelligent Data Processing PART 3: Interfaces PART 4: Applications and High-tech Management Index of Terms |
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