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

arXiv: https://arxiv.org/abs/1811.02216 · HTML: https://mlsanity.com/paper/1811.02216/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Nov 2018.

## Built on by (most cited first, 2 of 2)

- [Object Recognition by a Minimally Pre-Trained System in the Process of Environment Exploration](https://mlsanity.com/paper/2111.11965/) (2021)
- [Multi-Valued Neural Networks I A Multi-Valued Associative Memory](https://mlsanity.com/paper/2302.11909/) (2023)

## Abstract (arXiv)

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.