An Optimal Itinerary Generation in a Configuration Space of Large Intellectual Agent Groups with Linear Logic

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Dmitry Maximov

Abstract

A group of intelligent agents which fulfill a set of tasks in parallel is represented by the tensor multiplication of corresponding processes in a linear logic game category.  An optimal itinerary in the configuration space of the group states is defined as a play with maximal total reward in the category. The reward is represented as a degree of certainty (visibility) of an agent goal, and the system goals are chosen by the greatest value corresponding to these processes in the system goal lattice.

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How to Cite
Maximov, D. (2019). An Optimal Itinerary Generation in a Configuration Space of Large Intellectual Agent Groups with Linear Logic. Advances in Systems Science and Applications, 19(4), 79-86. https://doi.org/10.25728/assa.2019.19.4.829
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