关键词: 智能体, 序贯决策, 环境智能, 异常情景, 情景本体, &ldquo, 时&mdash, 空&rdquo, 状态, 元认知环

Abstract: The current researches of sequential decision-making on ambient intelligence mainly are focused on the problem of Agents interaction decision-making over uncertain context,and solution for perturbation context is not involved.For this problem,the Agent interactive decision-making mechanism was proposed.The entity-spatio-temporal contexts based on the modified context ontology was acquired and calculated,and then the semantic-based metacognitive loop was used to detect and evaluate perturbation context so as to feedback to user-serving Agent.Ultimately,experiments in a smart home environment showed that the proposed method improved the accuracy of decision-making by more than 10% on the basis of several representative machine learning processing methods,while the response time increased by less than 5%,which achieved the expansion in the application field and enhanced the practicability.

Key words: Agent, sequential decision-making, ambient intelligence, perturbation context, spatio-temporal context, metacognitive loop