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Abstrac tThe formalization of multi-agent autonomous systems requires a rich ontolog y for capturing a variety of collective behaviours and a powerful semantics fo r distinguishing between collective agents having, executing, and jointly intendin g a plan . In this paper, we introduce the notion of social agents and social plans. A definition of joint intentions is provided that avoids some of the problem s encountered by previous formalizations . In particular, it models cooperation by requiring that agents adopt a joint goal and ajoint plan of action before formin g a joint intention . The paper also stresses the planning capability of agents an d outlines a process for means-end reasoning by multiple agents .In this paper we describe a domain independent control structure fo r cooperating problem solving. This control structure is introduced at bot h conceptual and implementational levels and is further complemented by a descriptive example . The concepts presented in this paper are derived fro m a generic agent model based upon intentions, behavior and resources o f agents. Agents are motivated to act according to their long term goals , desires, preferences, responsibilities and the like . Their actions ar e influenced by their perceived surroundings, which are other agents and th e environment in which they operate. 10

Abstract. Today's methods for business process modeling like extended eventprocess-chains only allow the definition of static graph structures. They are not flexible enough for instance to model the change management process of the Mercedes Car Group (MCG) since it requires dynamic selection of process variants, process schema evolution and their (partial) propagation on running workflows, arbitrary dynamic process jumps and changes, etc. We have developed an approach for modeling agile processes based on goals and context rules, which enables the required flexibility. Additionally it is possible to map such a process model to a run-time infrastructure for process execution.

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