SSP Group Meeting

11am, 28 June, 2005
Room 4.03, Appleton Tower
CISA, School of Informatics
University of Edinburgh

Autonomy versus uncertainty: Why agents are different and what we can do about it.

Michael Rovatsos

The ability to cope with uncertain environments has been put forward as one the key strengths of AI methods as opposed to more traditional computer science approaches. In recent years, a number of application domains (in particular those involving digital communication and computational decentralisation) have introduced the autonomy of other so-called intelligent agents co-inhabiting a common environment as an additional source of uncertainty. In this talk, I will argue that beyond the hype around agent technology, autonomy differs substantially from traditional views of uncertainty, and that it calls for the development of genuinely new methods for managing the interactions between autonomous  agents. I present an abstract framework that can be used as a starting  point for designing such methods and illustrate key concepts using examples from the area of strategic learning of communication patterns.