Agents
The term ``agent'', as used in artificial intelligence, is not
particularly informative: it has been used in so many ways that
it denotes little more than "software system" or ``process''.
We will use it to denote a system that necessarily communicates with
other ``agents'' in its efforts to do its work. In particular, we will
assume that (sub)tasks are shunted among agents, and that information
about (among other things) the results of those tasks is communicated
between agents.
CIRL
CIRL's work on agent-based systems focuses in two main areas:
understanding how agent
organizations can successfully partition problems to manage the
computational complexity of solving them, and the application of
solution clustering techniques to managing communication and workflow.
Pointers
- Parent areas:
- Modeling
- Implementation areas:
- SWFM
- O-Plan
Back to the CIRL Overview Page.