Agent Engineering.
Title:
Agent Engineering.
Author:
Liu, Jiming.
ISBN:
9789812797612
Personal Author:
Physical Description:
1 online resource (275 pages)
Series:
Series in Machine Perception and Artificial Intelligence ; v.43
Series in Machine Perception and Artificial Intelligence
Contents:
CONTENTS -- List of Contributors -- Introduction to Agent Engineering -- Motivation -- Key Issues -- An Overview of this Volume -- Chapter 1 Why Autonomy Makes the Agent -- 1.1 Introduction -- 1.2 Agents, Objects & Data -- 1.3 Autonomy, Messages & Mobility -- 1.4 Defining a Mobile Agent -- 1.5 Efficient Use of Network Resources -- 1.6 Discussion -- Appendix -- References -- Chapter 2 Knowledge Granularity Spectrum, Action Pyramid, and the Scaling Problem -- 2.1 Introduction -- 2.2 A Case Study: the Object Search Agent -- 2.3 Knowledge Granularity in General -- 2.4 Selecting Knowledge Granularity -- 2.5 Knowledge Granularity Spectrum and Action Pyramid -- 2.6 Conclusion -- Bibliography -- Chapter 3 The Motivation for Dynamic Decision-Making Frameworks in Multi-Agent Systems -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Multi-Agent Testbed Infrastructure -- 3.4 Multi-agent Experiments -- 3.5 Discussion -- 3.6 Conclusions -- Bibliography -- Chapter 4 Dynamically Organizing KDD Processes in a Multi-Agent KDD System -- 4.1 Introduction -- 4.2 Requirements for Multi-Agent Based KDD Architecture -- 4.3 The GLS System -- 4.4 KDD Process Planning -- 4.5 Handling Iteration and Changes of KDD Process -- 4.6 Concluding Remarks -- Bibliography -- Chapter 5 Self-Organized Intelligence -- 5.1 Introduction -- 5.2 Organization of the Chapter -- 5.3 Problem Statement -- 5.4 Adaptive Self-Organized Vision for Image Feature Detection and Tracking -- 5.5 Self-Organized Motion in Group Robots -- 5.6 Related Work -- 5.7 Concluding Remarks -- Bibliography -- Chapter 6 Valuation-Based Coalition Formation in Multi-Agent Systems -- 6.1 Introduction -- 6.2 Agents and Actions -- 6.3 Models of Dynamic Groups -- 6.4 Some thoughts on agent self-contemplation -- 6.5 Conclusions -- Bibliography.
Chapter 7 Simulating How to Cooperate in Iterated Chicken and Prisoner's Dilemma Games -- 7.1 Introduction -- 7.2 Background -- 7.3 The simulations -- 7.4 Results -- 7.5 Discussion -- Bibliography -- Chapter 8 Training Intelligent Agents Using Human Data Collected on the Internet -- 8.1 Introduction -- 8.2 Motivation -- 8.3 The first domain: Tron -- 8.4 The second domain: CEL -- 8.5 Conclusion -- Bibliography -- Chapter 9 Agent Dynamics: Soap Paradigm -- 9.1 Multi-agent systems -- 9.2 Multi-soap agent model -- 9.3 Evolution dynamics of soap froths -- 9.4 Simulation model -- 9.5 Applications -- 9.6 Concluding remarks -- Bibliography -- Author Index -- Subject Index.
Abstract:
Agent engineering concerns the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, cooperating and delegating in a dynamic environment. It is one of the most promising areas of research and development in information technology, computer science and engineering. This book addresses some of the key issues in agent engineering: What is meant by "autonomous agents"? How can we build agents with autonomy? What are the desirable capabilities of agents with respect to surviving (they will not die) and living (they will furthermore enjoy their being or existence)? How can agents cooperate among themselves? In order to achieve the optimal performance at the global level, how much optimization at the local, individual level and how much at the global level would be necessary?. Contents: Introduction to Agent Engineering (J-M Liu et al.); Why Autonomy Makes the Agent (S Joseph & T Kawamura); Knowledge Granularity Spectrum, Action Pyramid, and the Scaling Problem (Y-M Ye & J K Tsotsos); The Motivation for Dynamic Decision-Making Frameworks in Multi-Agent Systems (K S Barber & C E Martin); Dynamically Organizing KDD Processes in a Multi-Agent KDD System (N Zhong et al.); Self-Organized Intelligence (J-M Liu); Valuation-Based Coalition Formation in Multi-Agent Systems (S J Johansson); Simulating How to Cooperate in Iterated Chicken and Prisoner's Dilemma Games (B Carlsson); Training Intelligent Agents Using Human Data Collected on the Internet (E Sklar et al.); Agent Dynamics: Soap Paradigm (F W K Lor). Readership: Computer scientists, programmers, information technology practitioners, systems engineers, managers, researchers and graduate students in engineering.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Electronic Access:
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