Abstract
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.
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Rejer, I. (2010). A Method for Improving Agent’s Autonomy. In: Jędrzejowicz, P., Nguyen, N.T., Howlet, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2010. Lecture Notes in Computer Science(), vol 6070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13480-7_7
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DOI: https://doi.org/10.1007/978-3-642-13480-7_7
Publisher Name: Springer, Berlin, Heidelberg
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