The Formation of Action Strategies in Active Hierarchical Systems
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Over the last decade much research effort has been focused on the investigation of goal-oriented techniques to capture and represent the requirements of a system from an intentional point of view. Large distributed real-time embedded systems are often designed with static resource management strategies tailored for speciﬁc goals or missions. These rigid resource allocation strategies are incapable of adapting to changing system goals, resource levels and operating environments. Intelligent agents offer one approach to operationalizing a decision making support system in these circumstances by providing an environment that can adapt to speed and change. Designing large-scale and hierarchical systems often involves making selections from multitudes of alternative decisions, strategies and configurations. In this paper we propose a models of strategies actions which are realized by intellectual agents in the cognitive systems to ACS-TP.
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