Context-dependent Incremental Decision Making scrutinizing the Intentions of Others via Bayesian Network Model Construction

Decision making about which are the scrutinized in-tentions of others, usually called intention reading or intention recognition, is an elementary basic decision making process required as a basis for other higher-level decision making, such as the intention-based decision making which we have set forth in previous work. We present herein a recognition method pos-sessing several features desirable of an elementary process: (i) The method is context-dependent and incremental, enabling progressive construction of a three-layer Bayesian network model as more actions are observed, and in a context-situated manner that relies on a logic programming knowledge base concerning the context; (ii) The Bayesian network is structured from a specific knowledge base of readily specified and readily maintained Bayesian network fragments with simple structures, thereby enabling the efficient acquisition of that knowledge base (engi-neered either by domain experts or else automaticall