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comes would be especially important in situations where the agents involved are
not fully cooperative and do not reveal their private information regarding their
utilities, not even to an external, impartial mediator. Another important aspect
would be to consider tasks no longer independent and to take into account a more
complex function for defining the utilities. Also, the model could be extended to
include functional limitations of the agents, i.e. an agent might not reach an ac-
ceptable level of performance despite repeated learning trials. Finally, the dynam-
ics of the environment could be explicitly modelled, so that to allow the complexity
levels of tasks to evolve, instead of being restricted to a predefined domain.
Acknowledgments.
This work was supported by CNCSIS-UEFISCSU, project
number PNII-IDEI 316/2008,
Behavioural Patterns Library for Intelligent Agents
Used in Engineering and Management
.
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