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objectives
- introduce the theory of interacting, distributed
intelligent agents
- show how to use them in modern systems, particularly
online systems
- cover the Java technology behind agents
overview
This course introduces the research and applications
of multi-agent systems (MAS), or interacting distributed
intelligent agents, with particular emphasis on
communication and learning for Internet and engineering
systems. The distributed and decentralized nature
of information, communication, and control on
the World Wide Web, for example, makes the Internet
a ripe field for groups of intelligent agents
to collaboratively pursue goals or perform tasks.
An intelligent agent is a software program,
which exists on a computing device or embedded
in a robot, acts autonomously on behalf of a particular
user and has various degrees of following attributes:
reasoning, communication, learning, and mobility.
This course will look at the history of
the field by tracing its roots to distributed
artificial intelligence and focus on the current
knowledge and research in multi-agent communication
and learning. Particular emphasis on the
application of distributed intelligent agents
to the Internet and engineering systems will be
given.
The course is suitable for Java developers.
The course is presented by one of our senior
consultants, each of whom has at least ten years'
experience in software development, and at least
three years' experience as a trainer and consultant
in a diverse range of application areas. Ideally
this training should be preceded by the following
course: design
and develop Java applications.
content
1.
Intelligent agent architectures
2. Principles of Multi-agent Systems
(MAS)
3. Java tools for building Multi-agent
Systems
4. Knowledge sharing
5. Reasoning
6. Communication
7. Co-ordination
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8.
Learning
9. Internet applications
10. Engineering applications
11. Distributed Web search agents
12. Network management systems
13. Collaborative knowledge management
14. Process to develop agent-based systems |
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timings
Day 1
1.
Intelligent agent architectures
2. Principles of Multi-agent Systems (MAS)
3. Java tools for building Multi-agent Systems
4. Knowledge sharing
5. Reasoning
6. Communication
7. Co-ordination
Day 2
8.
Learning
9. Internet applications
10. Engineering applications
11. Distributed Web search agents
12. Network management systems
13. Collaborative knowledge management
14. Process to develop agent-based systems
To book a public or onsite
course, please contact Clive Menhinick on
+44 (0)161 225 3240, or email: clive@trireme.com.
Alternatively, use the booking form.
©
TriReme International Limited 2001-2006.
All rights reserved.
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