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By Rajesh Kasturirangan, Avi Pfeffer and Whitman Richards


Natural Intelligence is based not only on conscious procedu-ral and declarative knowledge, but also on knowledge that is inferred from observing the actions of others. This knowl-edge is tacit, in that the process of its acquisition remains unspecified. However, tacit knowledge (and beliefs) is an accepted guide of behavior, especially in unfamiliar con-texts. In situations where knowledge is lacking, animals act on these beliefs without explicitly reasoning about the world or fully considering the consequences of their actions. This paper provides a computational model of behavior in which tacit beliefs play a crucial role. We model how knowl-edge arises from observing different types of agents, each of whom reacts differently to the behaviors of others in an unfamiliar context. Agents ’ interaction in this context is de-scribed using directed graphs. We show how a set of obser-vations guide agents ’ knowledge and behavior given differ-ent states of the world

Year: 2014
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