Interacting dreaming neural networks

Autor(es)

Zanin, Pietro ; Caticha, Nestor

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT; v. 2023, n. 4, p. 23-pg., 2023-04-01.

Resumo

We study the interaction of agents, where each one consists of an associative memory neural network trained with the same memory patterns and possibly different reinforcement-unlearning dreaming periods. Using replica methods, we obtain the rich equilibrium phase diagram of the coupled agents. It shows phases such as the student-professor phase, where only one network benefits from the interaction while the other is unaffected; a mutualism phase, where both benefit; an indifferent phase and an insufficient phase, where neither are benefited nor impaired; a phase of amensalism where one is unchanged and the other is damaged. In addition to the paramagnetic and spin glass phases, there is also one we call the reinforced delusion phase, where agents concur without having finite overlaps with memory patterns. For zero coupling constant, the model becomes the reinforcement and removal dreaming model, which without dreaming is the Hopfield model. For finite coupling and a single memory pattern, it becomes a Mattis version of the Ashkin-Teller model. (AU)

• Processo FAPESP: 21/07951-7 - Tópicos em redes neurais: I. interação entre redes neurais de atratores. II. dinâmica de aprendizado em redes de arquitetura profunda
• Beneficiário: Pietro Zanin
• Modalidade de apoio: Bolsas no Brasil - Mestrado