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Knowledge representation goes hand in hand with automated reasoning because one of the main purposes of explicitly representing knowledge is to be able to reason about that knowledge, to make inferences, assert new knowledge, etc. Virtually all knowledge representation languages have a reasoning or inference engine as part of the system.
Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules ...
John McCarthy and Patrick J. Hayes defined this problem in their 1969 article, Some Philosophical Problems from the Standpoint of Artificial Intelligence. In this paper, and many that came after, the formal mathematical problem was a starting point for more general discussions of the difficulty of knowledge representation for artificial ...
Knowledge retention is part of knowledge management. It helps convert tacit form of knowledge into an explicit form. It is a complex process which aims to reduce the knowledge loss in the organization. [67] Knowledge retention is needed when expert knowledge workers leave the organization after a long career. [68]
Nowadays ability to simulate rich, interactive, face-to-face knowledge is the key factory to use knowledge management as a part of decision making in B2B business. Bias influenced according to the veil of ignorance of decision making, for one to make a sound choice they have to separate themselves from what they know so as not to be biased.
In the context of knowledge management, the closed-world assumption is used in at least two situations: (1) when the knowledge base is known to be complete (e.g., a corporate database containing records for every employee), and (2) when the knowledge base is known to be incomplete but a "best" definite answer must be derived from incomplete information.
Countermeasures have widely been discussed to reduce information asymmetry. The classic paper on adverse selection is George Akerlof's "The Market for Lemons" from 1970, which brought informational issues to the forefront of economic theory. Exploring signaling and screening, the paper discusses two primary solutions to this problem. [27]
The knowledge-based theory of the firm, or knowledge-based view (KBV), considers knowledge as an essentially important, scarce, and valuable resource in a firm. [1] [2] According to the knowledge-based theory of the firm, the possession of knowledge-based resources, known as intellectual capital, is essential in dynamic business environments. [3]