An Optimal Itinerary Generation in a Configuration Space of Large Intellectual Agent Groups with Linear Logic
Artificial Intelligence
2021-12-02 v1
Abstract
A group of intelligent agents which fulfill a set of tasks in parallel is represented first 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. New moments also are: 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.
Keywords
Cite
@article{arxiv.1811.02216,
title = {An Optimal Itinerary Generation in a Configuration Space of Large Intellectual Agent Groups with Linear Logic},
author = {Dmitry Maximov},
journal= {arXiv preprint arXiv:1811.02216},
year = {2021}
}
Comments
"Management of Large-Scale Systems Development" (MLSD-2018) a full version of the conference paper