Minson: A Business Process Self-Adaptive Framework for Smart Office Based on Multi-agent

We argue that organization, task, business process should possess invaluable intelligence to gear how ecosystem adapt itself to changing context information in the Smart Office. On the purpose to solve this problem, we present a reliable frame called Minson which is a dynamic adaption system based on multi-agent and context-awareness. Firstly, in order to describe the problem, we define the person, task, organization, resource meta-model. Secondly, we introduce the scene state map which guide our system which state to choose when ecosystem context changes. Next, we also provide the event meta model which is a state space describing the interruption of our context in Smart Office. Finally, strategy rules about reasoning are proposed. An algorithm is given for self-adapting in the ecosystem considering the organization and task balance. The result shows the proposed framework is a feasible method to cope with Multi-Agent and Context-aware in business process adapting.