First, I would like to thank my advisors, Boris Magnusson and Lennart Ohl-son, for their guidance and patience during my studies. Finally, a special thank to Christina Magnusson, for reading the first version of this thesis, and to Martin Fuller, for commenting and improving the eng-lish in the final version.
This paper presents a new framework for autonomous agents that is based on the concept of anticipatory systems. It is a hybrid approach that synthesizes low-level reactive behavior and high-level symbolic reasoning. According to this framework, an agent, i.e. an anticipatory agent, consists of three main entities: a reactive system, a world model, and a… (More)
This paper presents a novel approach to the problem of designing autonomous agents that is based on the idea of anticipatory systems. An anticipatory system has a model of itself and of the relevant part of its environment and will use this model to predict the future. The predictions are then utilised to determine the agent's behaviour, i.e. it lets future… (More)
A general agent theory requires a well-defined domain. We argue that this requirement is not met by most proposed agent theories. The reason is that they are based on assumptions about the internal structure of the agents, often described in terms of human-like " mental states " such as beliefs and intentions. In fact, there are strong indications that the… (More)
Recently, several suggestions for (multi-) agent theories have been presented. In order to develop a meaningful formal theory it is necessary also to specify a model, i.e., how to interpret the theory. This, in turn, requires a well-defined domain, otherwise it is not possible to define predicates, etc. We argue that current suggested agent theories do not… (More)