How Tacit Knowledge Guides Action

Yakov Gal, Rajesh Kasturirangan, Avi Pfeffer, Whitman Richards

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Natural Intelligence is based not only on conscious procedural and declarative knowledge, but also on knowledge that is inferred from observing the actions of others. This knowledge 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 contexts. 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 knowledge 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 described using directed graphs. We show how a set of observations guide agents’ knowledge and behavior given different states of the world.
Original languageEnglish
Title of host publicationWorkshop on Naturally-Inspired Artificial Intelligence, AAAI 2008
PublisherAAAI Press
Number of pages4
Publication statusPublished - 2008
EventWorkshop on Naturally-Inspired Artificial Intelligence - Arlington, United States
Duration: 7 Nov 20089 Nov 2008


ConferenceWorkshop on Naturally-Inspired Artificial Intelligence
Abbreviated titleAAAI 2008
Country/TerritoryUnited States


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