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As such its actions must be guided by the principal’s goals. Consequently 26 P. C. Lockemann what we termed in Property 4 the agent’s own goals are in fact those of its principal. It makes little sense to assign an agent to more than one principal because this would instill in it different, perhaps conflicting goals. On the other hand, the same principal may be responsible for more than one agent. Translated into the software world we will have to name a principal for each software agent, be it a real person or another agent.
STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving. In: Artificial Intelligence 2(1971), pp. 189-208. ; Mason, W. : Explorations in Role Analysis. New York, 1958.
3 Properties of Multiagent Systems In [BoGa1988] MAS are defined as consisting of heterogeneous agents that are generally self-motivated and act to fulfill internal goals, but may also share tasks with others. There is no global or centralized control mechanism. Agents have to reason to co-ordinate their actions, plans, and knowledge. Agents, in these systems, can cope with situations in a flexible 38 I. J. Timm et al. way involving inconsistent knowledge about the environment (world, other agents), partial domain representation, and changing, overlapping plans resulting from the need to interact with other agents.