A Model of Tacit Knowledge and Action

Yakov Gal, Rajesh Kasturirangan, Avi Pfeffer, Whitman Richards

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

Abstract

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 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 knowledge plays 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 publication2009 International Conference on Computational Science and Engineering
Place of PublicationVancouver, BC, Canada
PublisherInstitute of Electrical and Electronics Engineers
Pages463-468
Number of pages6
ISBN (Print)978-1-4244-5334-4
DOIs
Publication statusPublished - 9 Oct 2009
Event2009 International Conference on Computational Science and Engineering - Vancouver, Canada
Duration: 29 Aug 200931 Aug 2009
http://cse.stfx.ca/~cse09/

Conference

Conference2009 International Conference on Computational Science and Engineering
Abbreviated titleCSE-09
Country/TerritoryCanada
CityVancouver
Period29/08/0931/08/09
Internet address

Fingerprint

Dive into the research topics of 'A Model of Tacit Knowledge and Action'. Together they form a unique fingerprint.

Cite this