New Frontiers in Artificial Intelligence
Subtitle: Joint JSAI 2001 Workshop Post-Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Contributors: Takao Terano (Editor); Toyoaki Nishida (Editor); Akira Namatame (Editor); Syrusaku Tsumoto (Editor); Yukio Ohsawa (Editor); Takashi Washio (Editor)
Edition: 1 edition
Publisher: Springer
Published: February 5, 2002
Language: eng
Format: Paperback
Number of pages: 553
ISBN-13: 9783540430704
Subjects: Artificial Intelligence; Internet; Robotics; Storage media & peripherals; Medical / Nursing; Artificial Intelligence - General; Congresses; Computers; Information Storage & Retrieval; Science/Mathematics; General; Collaborative Work; Computational Intelligence; Computers / Artificial Intelligence; Data Analysis; Data Mining; E-Commerce; Electronic Markets; Human-Computer Interaction; Intelligent Agents; Multi-Agent Systems; Pattern Recognition
Description: New Frontiers in Artificial Intelligence: Joint JSAI 2001 Workshop Post-Proceedings<br />Author: Takao Terano, Yukio Ohsawa, Toyoaki Nishida, Akira Namatame, Syusaku Tsumoto, Takashi Washio<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-43070-4<br /> DOI: 10.1007/3-540-45548-5<br /><br />Table of Contents:<p></p><ul><li>Social Intelligence Design — An Overview
</li><li>FaintPop: In Touch with the Social Relationships
</li><li>From Virtual Environment to Virtual Community
</li><li>Collaborative Innovation Tools
</li><li>Bricks & Bits & Interaction
</li><li>A Distributed Multi-agent System for the Self-Evaluation of Dialogs
</li><li>Public Opinion Channel: A System for Augmenting Social Intelligence of a Community
</li><li>Enabling Public Discourse
</li><li>Internet, Discourses, and Democracy
</li><li>How to Evaluate Social Intelligence Design
</li><li>Overview
</li><li>Analyzing Norm Emergence in Communal Sharing via Agent-Based Simulation
</li><li>Toward Cumulative Progress in Agent-Based Simulation
</li><li>Complexity of Agents and Complexity of Markets
</li><li>U-Mart Project: Learning Economic Principles from the Bottom by Both Human and Software Agents
</li><li>A Multi-objective Genetic Algorithm Approach to Construction of Trading Agents for Artificial Market Study
</li><li>Agent-Based Simulation for Economic and Environmental Studies
</li><li>Avatamsaka Game Experiment as a Nonlinear Polya Urn Process
</li><li>Effects of Punishment into Actions in Social Agents
</li><li>Analysis of Norms Game with Mutual Choice</li></ul>