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A Model of Tacit Knowledge and Action

Author(s)
Gal, Yakov; Pfeffer, Avi; Kasturirangan, Rajesh; Richards, Whitman A.
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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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.
Date issued
2009-10
URI
http://hdl.handle.net/1721.1/59323
Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences; MIT Nuclear Reactor Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Journal
2009 International Conference on Computational Science and Engineering
Publisher
Institute of Electrical and Electronics Engineers
Citation
Gal, Y. et al. “A Model of Tacit Knowledge and Action.” Computational Science and Engineering, 2009. CSE '09. International Conference on. 2009. 463-468. © 2009 IEEE
Version: Final published version
Other identifiers
INSPEC Accession Number: 10939159
ISBN
978-1-4244-5334-4
Keywords
computational model, decision-making, tacit knowledge

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