We are particularly interested in Novel approaches to intelligent agents:
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CALL FOR CHAPTERS
Intelligent Agent Software Engineering
A book edited by
Valentina Plekhanova and Stefan Wermter,
University of Sunderland, United Kingdom
Intelligent software agents are a unique generation of
information society tools that independently perform various
tasks on behalf of human user(s) or other software agents.
The new possibility of information society requires the
development of new more intelligent methods, tools and
theories for modelling/engineering of agent-based systems
and technologies. This directly involves a need for
consideration, understanding and analysis of human factors,
e.g. people's knowledge/skill, learning, and performance
capabilities/compatibilities in particular software
development environments. This is because software
developers utilise their experience and represent their
mental models via development/engineering of intelligent
agent(s). Therefore, the study of interrelated factors such as
people's and agent's capabilities constitute an
important/critical area in intelligent agent software
engineering. This should eventually lead to more robust,
intelligent, interactive, learning and adaptive agents.
We encourage submitting papers where intelligent agent
software engineering is considered as the application of the
integration of formal methods and heuristic approaches to
ensure support for the evaluation, comparison, analysis, and
evolution of agent behaviour. The primary objective of the
book is to introduce the readers to the concept of intelligent
agent software engineering so that they will be able to
develop their own agents and implement concepts in their
own environments. Chapters based on research from both
academia and industry are encouraged.
Representative topics include, but are not limited to, the
following:
Requirements for intelligent agent software engineering
Intelligent agent modelling and management
Integration problems in intelligent agent software engineering
Intelligent planning/scheduling systems
Prioritisation problems in intelligent agent software engineering
Engineering models of intelligent agents
Modelling, analysis, and management of learning agents
Engineering the Information Technology
Engineering the learning processes
Hybrid neural agents
Adaptive agents
Learning agents
Communicating agents
Meta agent architectures
Negotiating agents
Emerging knowledge based on collaborating software agents
Machine learning for intelligent agents
Cognitively oriented software agents
Biologically motivated agent models
Lifelong learning in software agents
Robustness and noise in software agents
Machine learning for software engineering
Evolutionary agents
Neuroscience - inspired agents;
Agents based on soft and fuzzy computing
SUBMISSION PROCEDURE
Researchers and practitioners are invited to submit on or
before March 31, 2001, a 2-5 page proposal outlining the
mission of the proposed chapter. Authors of accepted
proposals will be notified by May 15, 2001 about the status of
their proposals and sent chapter organisational guidelines.
Full chapters are expected to be submitted by September 15,
2001. The book is scheduled to be published by Idea Group
Publishing in 2002.
Inquiries and Submissions can be forwarded electronically
to:
Valentina Plekhanova, and Stefan Wermter,
University of Sunderland, SCET,
The Informatics Centre, St Peter's Campus, St Peter's Way, SR6 0DD, UK
Tel: +44 (0)-191-515-2755
Fax: +44 (0)-191 -515-2781
Email: valentina.plekhanova@sunderland.ac.uk
stefan.wermter@sunderland.ac.uk
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Professor Stefan Wermter
Research Chair in Intelligent Systems
University of Sunderland
Informatics Centre, SCET
St Peters Way
Sunderland SR6 0DD
United Kingdom
phone: +44 191 515 3279
fax: +44 191 515 3553
email: stefan.wermter@sunderland.ac.uk
http://www.his.sunderland.ac.uk/~cs0stw/
http://www.his.sunderland.ac.uk/
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