Distributed knowledge: Difference between revisions

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'''Distributed{{short description|All the knowledge''' isthat a termcommunity usedof inagents possesses and might apply to solving a problem}}
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{{onesource|date=March 2013}}
{{No footnotes|date=January 2020}}
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In [[multi-agent system]] research, that'''distributed refersknowledge''' tois all the knowledge that a community of agents possesses and might apply in solving a problem. Distributed knowledge is approximately what "a wise man knows", or what someone who has complete knowledge of what each member of the communitiescommunity knows knows. Distributed knowledge might also be called the aggregate knowledge of a community, as it represents all the knowledge that a community might bring to bear to solve a problem. Other related phrasings include cumulative knowledge, collective knowledge, pooled knowledge, or the wisdom of thepooled crowdknowledge. Distributed knowledge is the union of all the knowledge of individuals in a community of agents.

Distributed knowledge differs from the concept of [[Wisdom of the crowd]], in that the latter is concerned with opinions, not knowledge.

Wisdom of the crowd is the emergent opinion arising from multiple actors. It is not the union of all the knowledge of these actors, it does not necessarily include the contribution of all the actors, it does not refer to all the knowledge of these actors, and typically broadly includes opinions and guesswork.

Wisdom of the crowd is a concept useful in the context of social sciences, rather than in the more formal multi-agent systems or [[Knowledge-based systems]] research.

== Example ==

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Distributed knowledge is related to the concept [[Wisdom of the crowd]]. Distributed knowledge reflects the fact that "no one of us is smarter than all of us."

==References==

* R. Fagin, J. Y. Halpern, Y. Moses, and M. Y. Vardi. ''Reasoning about Knowledge'', The MIT Press, 1995. ISBN 0-262-56200-6

==See also==

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* [[Knowledge tags]]

* [[Interactional expertise]]

* [[Crowdsourcing]]

* [[Collective problem solving]]

==References==

* R. Fagin, J. Y. Halpern, Y. Moses, and M. Y. Vardi. ''Reasoning about Knowledge'', The MIT Press, 1995. {{ISBN |0-262-56200-6}}

[[Category:Knowledge engineering]]