|Type of publication:||Incollection|
|Title||A Decision-Theoretic Approach to Collaboration: Principal Description Methods and Efficient Heuristic Approximations|
|Bibtex cite ID|
|Booktitle ||Interactive Collaborative Information Systems|
|Series ||Studies in Computational Intelligence|
|Year published ||2010|
|Keywords ||multiagent planning,decentralized POMDPs,combinatorial optimization|
This chapter gives an overview of the state of the art in decision-theoretic models to describe cooperation between multiple agents in a dynamic environment.
Making (near-) optimal decisions in such settings gets harder when the number of agents grows or the uncertainty about the environment increases. It is essential to have compact models, because otherwise just representing the decision problem
becomes intractable. Several such model descriptions and approximate solution methods, studied in the Interactive Collaborative Information Systems project, are presented and illustrated in the context of crisis management.
|Topics ||=SEE CLASSIFICATION DIFFERENCE FROM OTHERS=
=SEE OWN CLASSIFICATION=|
|Total mark: ||5|