A Model of Tacit Knowledge and Action
Name
Gal-2009-A model of tacit knowledge and action.pdf
Size
191.73 KB
Format
Adobe PDF
Checksum (MD5)
10ca611c18461a40bebb1763277951e2
Author(s)
Gal, Yakov
Pfeffer, Avi
Kasturirangan, Rajesh
Richards, Whitman A.
Date Issued
October 2009
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
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.
Subjects
computational model
decision-making
tacit knowledge
MIT 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)
Terms of Use
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.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/CSE.2009.479
