Adaptive Constraint-Based Agents in Artificial Environments

[INTRODUCTION]   [AI for Games]   [Agents]   [Planning]   [Search Paradigms]   [Search Frameworks]   [Conclusion]

[ Please note: The project has been discontinued as of May 31, 2005 and is superseded by the projects of the ii Labs. There won't be further updates to these pages. ]

Autonomous Agents

(Related publications: [PUBLink] [PUBLink])

Wooldridge and Jennings [PUBLink] provide a useful starting point by defining autonomy, social ability, reactivity and proactiveness as essential properties of an agent. Agent research is a wide area covering a variety of topics. These include:

An agent has goals (stay alive, catch player's avatar, ...), can sense certain properties of its environment (see objects, hear noises, ...), and can execute specific actions (walk northward, eat apple, ...). There are some special senses and actions dedicated to communicating with other agents.

The following subsections classify different agent architectures according to their trade-off between computation time and the realization of sophisticated goal-directed behavior.


[INTRODUCTION]   [AI for Games]   [Agents]   [Planning]   [Search Paradigms]   [Search Frameworks]   [Conclusion]

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Last update:
May 19, 2001 by Alexander Nareyek