| 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 Cartesian 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.
Further Information
