Знаковый подход к задаче распределения ролей в коалиции когнитивных агентов

In this paper we consider the problem of the role distribution during the construction of a general plan of actions in the coalition of cognitive agents. Cognitive agents realize the basic functions of an intelligent agent using models of human cognitive functions. As a psychological basis for constructing models of cognitive functions, the theory of activity and the formalization of sign-based world model were used. The paper presents an original method for roles distribution - the MultiMAP algorithm, based on the sign-based method of agent’s behavior planning. The main features of the described approach are presented, including ways of representing the agent's knowledge of himself and other agents, methods of sign communication and preserving the experience of cooperation with other agents. Model experiments are described that demonstrate the main advantages of the approach presented and some of the shortcomings to be eliminated in future work.В настоящей работе рассмотрена задача распределения ролей при составлении общего плана действий в коалиции когнитивных агентов. Когнитивные агенты реализуют основные функции интеллектуального агента с использованием моделей когнитивных функций человека, к которым относятся применяемые в данной работе функции обучения концептуальным знаниям и планирования коллективного поведения. В работе представлен оригинальный метод распределения ролей — алгоритм MultiMAP, основанный на знаковом способе планирования поведения агента. Представлены основные особенности описываемого подхода, включающие способы представления знаний агента о себе и о других агентах, способы знаковой коммуникации и сохранения опыта кооперации с другими агентами. Описаны модельные эксперименты, демонстрирующие основные преимущества представленного подхода и некоторые недостатки, на устранение которых направлена будущая работа в данном направлении

Towards a logical model of social agreement for agent societies

International audienceMulti-agent systems (MASs), comprised of autonomous entities with the aim to cooperate to reach a common goal, may be viewed as computational models of distributed complex systems such as organizations and institutions. There have been several model proposals in the agent literature with the aim to support, integrate, substitute human organizations, but no attempt has gone beyond the boundaries of this research context to become a mainstream software engineering implementation guideline, nor has it been adopted as a universal model of multi-agent interaction in economics or social sciences. In this work we counter top-down, operational organization specifications with a logical model of a fundamental concept: agreement, with the long-term aim to create a formal model of multi-agent organization that can serve as a universally accepted basis for implementation of collaborative distributed systems