Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications

Description

Agent technologies and multi-agent systems is an emerging field of study that is unique in the sense that all efforts to build this discipline unite knowledge from different areas of study. Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various fields of science, engineering and technology. This book is a collection of work that covers conceptual frameworks, case studies, and analysis while serving as a medium of communication among researchers from academia, industry and government. Table of Contents Preface Acknowledgment. Section 1: Concepts and Challenges 1 Attending to Temporal Assumptions May Enrich Autonomous Agent Computer Simulations • Gus Koehler 2 Temporally Autonomous Agent Interaction • Adam J. Conover, Robert J. Hammell 3 Statistical Properties of Social Group Evolution • Gergely Palla, Tamás Vicsek 4 Two Informal Complexity Measures in Social Networks and Agent Communities • António Jorge Filipe Fonseca 5 Quantifying Disorder in Networks: The von Neumann Entropy • Filippo Passerini, Simone Severini Section 2: Emergencies 6 Enhancing the Adaptation of BDI Agents Using Learning Techniques • Stéphane Airiau, Lin Padgham, Sebastian Sardina, Sandip Sen 7 Reward Shaping and Mixed Resolution Function Approximation • Marek Grzes, Daniel Kudenko 8 Inductive Logic Programming and Embodied Agents: Possibilities and Limitations • Andrea Kulakov, Joona Laukkanen, Blerim Mustafa, Georgi Stojanov 9 Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework • Goran Trajkovski, Georgi Stojanov, Samuel Collins, Vladimir Eidelman, Chris Harman, Giovanni Vincenti 10 Interactions in Context-Zero: Towards Conceptual Adaptation through the Izbushka Agent • James Braman 11 Norm Emergence with Biased Agents • Partha Mukherjee, Sandip Sen, Stéphane Airiau 12 Governance Mechanisms in Web 2.0: The Case of Wikipedia • Christopher Goldspink Section 3: Applications 13 A Multi-Agent Machine Learning Framework for Intelligent Energy Demand Management • Ying Guo, Rongxin Li 14 A Step-By-Step Implementation of a Multi-Agent Currency Trading System • Rui Pedro Barbosa, Orlando Belo 15 Modeling Multi-Agent Systems as a Network: A Methaphoric Exploration of the Unexpected • Tanya Araújo, Francisco Louçã 16 Accounting Implications in Virtual Worlds • Jorge A. Romero 17 Multi-Agent-Based Simulation of University Email Communities • David M.S. Rodrigues 18 Impact on Learner Experience: A Qualitative Case Study Exploring Online MBA Problem-Based Learning Courses • J. Heather Welzant 19 Towards Learning ‘Self’ and Emotional Knowledge in Social and Cultural Human-Agent Interactions • Wan Ching Ho, Kerstin Dautenhahn, Meiyii Lim, Sibylle Enz, Carsten Zoll, Scott Watson Compilation of References About the Contributors Index