Providing services within multiagent systems, an agent has to register itself with a distinct description of its main capabilities in yellow page services. If another agent is requesting to solve a specific task, it has to be decided whether or not the requested agent is capable of performing the task successfully. We are assuming that task requirements as well as capabilities are specified using ontologies. Decision is easy if the concepts of requested task requirements are directly mapping to concepts of provided capabilities. However, concept inequality may occur. Especially in production engineering with its increasing concern of knowledge about sophisticated manufacturing processes, relying on simple concept equality is not suitable to fulfill demands of current industrial applications. Thus, enhanced methods like ontology-based capability management presented in this paper have to be established to address this problem. For the case of indi#erent concepts we are introducing a conflict-based approach for capability negotiation as well as an application scenario for this approach in the manufacturing domain.

. Autonomous agents seem to be a promising approach for application in computermediated supply webs. Supporting the management and integration of the planning, scheduling, and controlling processes they can be used as "enterprise delegates". However, this leads to a problem with common autonomous agent architectures, as they are not designed to model complex decision behavior of entire companies. In this paper we present an innovative approach to model Intelligent Agents in the context of the new agent architecture "Enterprise Agents", which is using conflicts of interests explicitly to determine agent's behavior and discuss its application to eBusiness. Keywords. Agent Control, Conflict Management, Adaptation, BDI-Architecture, Enterprise Agents 1.

Abstract—This paper attempts to model pervasive computing environments as a user-centric ”SmartShadow ” usingtheBDP (Belief-Desire-Plan) user model, which maps pervasive computing environments into a dynamic virtual user space. SmartShadow will follow the user to provide him with pervasive services, just like his shadow in the physical world. In the BDP model, desires of a user are inferred from his belief set, and plans are made to satisfy each desire. Pervasive service is introduced to describe computing resources in the cyberspace, which can be organized by the user’s BDP to accomplish his desires. The composition process maps pervasive services into a user’s SmartShadow. The model is logically natural and simple, and can flexibly model dynamics of pervasive computing spaces. In addition, we implement a simulation system to verify and evaluate the SmartShadow model. I.