6 papers
Interpretable experiential learning based on state history and global feedback
Anton Kolonin
A new interpretable experiential learning model based on state history and global feedback is presented. It is capable of learning a behavioral model represented by a transition gr…
Time Series Augmented Generation for Financial Applications
Anton Kolonin, Alexey Glushchenko, Evgeny Bochkov +1
Evaluating the reasoning capabilities of Large Language Models (LLMs) for complex, quantitative financial tasks is a critical and unsolved challenge. Standard benchmarks often fail…
Computational Concept of the Psyche
Anton Kolonin, Vladimir Krykov
This article presents an overview of approaches to modeling the human psyche in the context of constructing an artificial one. Based on this overview, a concept of cognitive archit…
Human-aligned Quantification of Numerical Data
Anton Kolonin
Quantifying numerical data involves addressing two key challenges: first, determining whether the data can be naturally quantified, and second, identifying the numerical intervals…
Interpretable Recognition of Cognitive Distortions in Natural Language Texts
Anton Kolonin, Anna Arinicheva
We propose a new approach to multi-factor classification of natural language texts based on weighted structured patterns such as N-grams, taking into account the heterarchical rela…
Computational Concept of the Psyche (in Russian)
Anton Kolonin, Vladimir Kryukov
The article provides an overview of approaches to modeling the human psyche in the perspective of building an artificial one. Based on the review, a concept of cognitive architectu…