A Method for Improving Agent’s Autonomy
The paper concerns the problem of limited range of application of automatically generated mathematic models which are often applied in software agents’ brains. The aim of this paper is to demonstrate that a new approach to the modeling process, integrating knowledge derived from a data set and knowledge derived from a domain expert, originally proposed for modeling economic dependences can be successfully applied in the domain of software agents. Since, the main benefit of this new approach in comparison to other approaches is that it enables application of an automatically generated mathematic models in the whole domain of the underlying relation, it allows the agent to act continuously, without interfering with its user – that means it significantly improves agent’s autonomy.
Keywordsfuzzy model knowledge integration domain knowledge agent autonomy model applicability
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