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DM: IAT'99 - 1st CFPFrom: IAT99 Conference Date: Sat, 12 Sep 1998 04:37:11 -0400 (EDT) [Apologies if you receive this more than once] =================================================================== FIRST CALL FOR PAPERS The 1st Asia-Pacific Conference on Intelligent Agent Technology (IAT'99) Hong Kong December 15-17, 1999 http://www.comp.hkbu.edu.hk/IAT99 =================================================================== INTRODUCTION Intelligent Agents is one of the most exciting, active areas of research and development in computer science and information technology today. It is concerned with the study of intelligent systems capable of perceiving, reasoning about, and adapting to different task constraints, learning task-specific behaviors, and delegating tasks in either physical or computational environments. In real-world applications, the notion of agents should be taken in its broadest sense, encompassing a wide spectrum of computational systems. Some of them may be physically embodied, such as robotic systems that efficiently handle manipulation tasks in the CARTŪ esian workspace, whereas others may be computationally coded, such as Internet search agents that proactively search, filter, and analyze useful information from a highly connected web of Internet servers. Regardless of their domains of application, autonomous agents often inhabit in and interact with dynamic, unpredictable environments in the course of problem-solving. The agents may dynamically acquire their reactive behaviors based on their experience and hence improve their problem-solving skills in dealing with similar or even more complex tasks. They may utilize certain sophisticated mechanisms in order to cope with the problems of lacking resources and knowledge. Responding to different local constraints received from their task environments, the agents can select and exhibit different behavioral patterns. For instance, in the case of robotic manipulation, the behavioral patterns of the robots may be directly related to their coordinated/cooperative local motions in the workspace. Similarly, in the case of search, the behavioral patterns of the agents may be reflected in their decisions on in what direction and how much localized search would become necessary. ABOUT THE CONFERENCE The Asia-Pacific Conference on Intelligent Agent Technology (IAT) is a high-quality, high-impact biannual agent conference series. As the first meeting in this new series, IAT'99 will primarily focus on (i) the state-of-the-art in the development of intelligent agents and (ii) the theoretical and computational foundations of intelligent agent technology. The aim of IAT'99 is to bring together researchers and practitioners from diverse fields such as computer science, information systems, psychology, business, education, human factors, and/or industrial engineering to (i) examine the design principles and performance characteristics of various approaches in intelligent agent technology, and (ii) increase the cross-fertilization of ideas on the development of autonomous agents and multi-agent systems among different domains. By encouraging idea-sharing and discussions on the underlying logical, cognitive, physical, and biological foundations as well as the enabling technologies of intelligent agents, IAT'99 is expected to stimulate the future development of new models, new methodologies, and new tools for building a variety of embodiments of agent-based systems. IAT'99 welcomes submissions of original papers. All submitted papers will go through a careful review process. In addition to technical paper sessions, IAT'99 will also include a collection of invited talks from internationally respected speakers, presentation of videos, and system demonstrations. TOPICS The technical issues to be addressed include, but not limited to: A. Applications: * data and knowledge intensive domains (e.g., large databases, Internet, digital libraries, distributed decision making, financial modeling and engineering, business information systems and process automation) * software and interface agents (e.g., personal assistant, translator, scheduler, information filter, tutor) * computational intelligence (e.g., pattern analysis and recognition, imaging, optimization, resource allocation, constraint satisfaction, planning) * physically embodied systems (e.g., autonomous robots and groups) * very-large, complex, integrated intelligent systems B. Computational Architecture and Infrastructure: * computational architectures * ontology models * agent-level and multi-agent-level infrastructure * communication languages * multi-modal systems and interfaces * protocols * tools and standards * heterogeneity and interoperability * scalability C. Learning and Adaptation: * uncertainty management in multi-agent systems * integrated exploration and exploitation * long-term reliability * neural networks * artificial life * behavioral selection * coordinating perception, thought, and action * behavioral self-organization * believable lifelike quality * classifier systems * evolution and learning in dynamic environments * adaptation and self-adaptation * emergent behavior * evolutionary computation D. Data and Knowledge Engineering/Communication: * information filtering * data mining * heterogeneous data integration and management * human-agent interaction * knowledge discovery * knowledge sharing * knowledge aggregation * reasoning and planning * adaptation and evolution of knowledge networks * distributed knowledge systems E. Distributed Intelligence: * dynamics of groups and populations * swarms * population evolution * coevolution * collective group behavior * coordination and cooperation * distributed intelligence * social integration * market-based computing F. Formal Theories of Agents: * formal/computational modeling * chaotic and fractal dynamics * computational complexity * efficiency in distributed systems * taxonomy of agent environments * classification and characterization of complex behaviors * theories of perception, rationality, intention, emotion, coordination, action, and social behaviors PAPER SUBMISSION Four (4) hard copies of the completed paper should be submitted to the IAT'99 Program Committee Chair by the submission deadline, May 31, 1999. Each submitted paper must include a title, a 200-300 word abstract, a list of keywords, the names, mailing addresses, and Email addresses of the authors, and the main body. The length of submitted paper should not exceed ten (10) single-spaced, single-column pages including all figures, tables, and bibliography. Papers should be submitted to: Prof. Ning Zhong Department of Computer Science and Systems Engineering Faculty of Engineering, Yamaguchi University Tokiwa-Dai, 2557, Ube 755, Japan Phone&Fax: +81-836-35-9949 Email: zhong@ai.csse.yamaguchi-u.ac.jp The submitted papers will be reviewed on the basis of technical soundness, relevance, originality, significance, and clarity. Accepted papers are expected to be published in the conference proceedings by Springer-Verlag in the Lecture Notes in Artificial Intelligence series (LNCS/LNAI). A selected number of IAT'99 accepted papers will be expanded and revised for inclusion in "Knowledge and Information Systems: An International Journal" by Springer-Verlag. IAT best paper award will be conferred on the author(s) of the best papers at the conference. VIDEO SUBMISSION Videos for presentation at IAT'99 should be submitted directly to the IAT'99 Video and Demo Chair: Dr. Jianchang Mao IBM Almaden Research Center Image and Multimedia Systems, DPE/B3A 650 Harry Road San Jose, CA 95120, USA by August 2, 1999. The submissions will be evaluated on the basis of relevance, significance, and clarity. Each submitted video should be no longer than 10 minutes and accompanied by a title page containing a title, a 200-300 word abstract, a list of keywords, the names, mailing addresses, and Email addresses of the authors, and a two-page summary of the video contents. DEMO SESSION IAT'99 welcomes submissions of research projects, research prototypes, experimental systems, and potential commercial products for demonstrations at the conference. Each submission should include a title page containing a title, a 200-300 word abstract, a list of keywords, the names, mailing addresses, and Email addresses of the presenters, and a two-page description of the demo system. Submissions should reach the IAT'99 Video and Demo Chair: Dr. Jianchang Mao IBM Almaden Research Center Image and Multimedia Systems, DPE/B3A 650 Harry Road San Jose, CA 95120, USA by August 2, 1999. Authors of accepted IAT'99 papers and videos will be invited to demonstrate their systems at the conference. It is understood that once a submission is selected for demonstration at the conference, the presenter(s) of the demo will be responsible for bringing necessary software/hardware equipment. IMPORTANT DATES May 31, 1999 Paper submission deadline July 31, 1999 Notification of paper acceptance mailed August 2, 1999 Video and demo submission deadline September 3, 1999 Notification of video and demo acceptance mailed September 11, 1999 Camera-ready copies of accepted papers due November 1, 1999 Cutoff date for early registration December 15-17, 1999 Conference technical sessions CONFERENCE ORGANIZERS The IAT'99 Conference Organizing Committee and International Advisory Board are as follows: * Conference Organizing Committee: Honorary Chair: Benjamin Wah, University of Illinois at Urbana-Champaign, U.S.A. General Chairs: Setsuo Ohsuga, Waseda University, Japan Ernest C. M. Lam, Hong Kong Baptist University, Hong Kong Program Chairs: Jiming Liu, Hong Kong Baptist University, Hong Kong Ning Zhong, Yamaguchi University, Japan Organizing and Local Chair: P. C. Yuen, Hong Kong Baptist University, Hong Kong Publicity Chair: C. S. Tong, Hong Kong Baptist University, Hong Kong Finance Chair: C. S. Huang, Hong Kong Baptist University, Hong Kong Registration Chair: Kelvin Wong, Hong Kong Baptist University, Hong Kong Video and Demo Chair: Jianchang Mao, IBM Almaden Research Center, U.S.A. * International Advisory Board: Jeffrey Bradshow, The Boeing Company, U.S.A. Jiming Liu, Hong Kong Baptist University, Hong Kong Jianchang Mao, IBM Almaden Research Center, U.S.A. Setsuo Ohsuga, Waseda University, Japan Tieniu Tan, Chinese Academy of Sciences, China Patrick S. P. Wang, Northeastern University, U.S.A. Xin Yao, Australian Defence Force Academy, Australia Ning Zhong, Yamaguchi University, Japan * Program Committee ( to be announced ) FURTHER INFORMATION Please send suggestions and inquiries regarding IAT'99 to: Dr. Jiming Liu Department of Computer Science Hong Kong Baptist University Kowloon Tong, Hong Kong Phone: (852) 2339-7088 Fax: (852) 2339-7892 Email: jiming@comp.hkbu.edu.hk
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