Search results for "multi-agent systems"

Consensus in inventory games

2008

This paper studies design, convergence, stability and optimality of a distributed consensus protocol for n-player repeated non cooperative games under incomplete information. Information available to each player concerning the other players' strategies evolves in time. At each stage (time period), the players select myopically their best binary strategy on the basis of a payoff, defined on a single stage, monotonically decreasing with the number of active players. The game is specialized to an inventory application, where fixed costs are shared among all retailers, interested in reordering or not from a common warehouse. As information evolves in time, the number of active players changes t…

Distributed Consensus in Noncooperative Inventory Games

2009

This paper deals with repeated nonsymmetric congestion games in which the players cannot observe their payoffs at each stage. Examples of applications come from sharing facilities by multiple users. We show that these games present a unique Pareto optimal Nash equilibrium that dominates all other Nash equilibria and consequently it is also the social optimum among all equilibria, as it minimizes the sum of all the players’ costs. We assume that the players adopt a best response strategy. At each stage, they construct their belief concerning others probable behavior, and then, simultaneously make a decision by optimizing their payoff based on their beliefs. Within this context, we provide a …

An extended JADE-S based framework for developing secure Multi-Agent Systems

2009

Agent communities are self-organized virtual spaces consisting of a large number of agents and their dynamic environments. Within a community, agents group together offering special e-services for effective, reliable, and mutual benefits. Usually, an agent community is composed of specialized agents performing one or more tasks in a single domain/sub-domain, or in highly intersecting domains. However, secure Multi- Agent Systems require severe mechanisms in order to prevent malicious attacks. Several limits affect exiting secure agents platform, such as the lack of a strong authentication system, the lack of a flexible distributed mechanism for access control and the lack of a system for st…

A genome based vision of multi-agent systems

2011

A set of software agents can be programmed to provide a large but finite set of services, often defined during design phase. After an evolution of the external environment, the pre-defined services could be unable to satisfy the requested quality. In this work it is proposed an agent framework capable to adapt the agents in order to improve the quality of services provided by an agent society in correspondence with a modification of the external environment. These agents are based on a biologically inspired structure (genome), that de- fines all their behaviors and knowledges. The effectiveness of the approach is proved by a set of successful experimental results

Decentralized Intrusion Detection In Cooperative Multi-Agent Systems

Common and Domain-specific Metamodel Elements for Problem Description in Simulation Problems

2014

It is well known that the multi-agent system paradigm is well suited for modelling and developing simulations of complex systems belonging to several application domains. Simulation study aims at developing simulation models useful for representing, studying and analyzing entities and their behavior in a system according to specific purposes. With our work we are trying to understand what are the right elements to be considered and included in the description of a simulation problem. In order to root our resulting metamodel in the state of the art of multi-agent simulations we started from the study of twelve papers dealing with four different application domains: Crowd Dynamics, Traffic an…

Engineering multi-agent systems using feedback loops and holarchies

2016

This paper presents a methodological approach for the engineering of Multi-Agent Systems using feedback loops as a first class concept in order to identify organizations. Feedback loops are a way for modeling complex systems that expose emergent behavior by means of a cause-effect loop between two levels called micro and macro levels of the system. The proposed approach principles consist in defining an abstract feedback loop pattern and providing activities and guidelines in order to identify and refine possible candidates for feedback loops during the analysis phase of the Aspecs methodology. This approach is illustrated by using an example drawn from the smart grid field.

Reinforcement Learning Your Way: Agent Characterization through Policy Regularization

2022

The increased complexity of state-of-the-art reinforcement learning (RL) algorithms has resulted in an opacity that inhibits explainability and understanding. This has led to the development of several post hoc explainability methods that aim to extract information from learned policies, thus aiding explainability. These methods rely on empirical observations of the policy, and thus aim to generalize a characterization of agents’ behaviour. In this study, we have instead developed a method to imbue agents’ policies with a characteristic behaviour through regularization of their objective functions. Our method guides the agents’ behaviour during learning, which results in a…

Expliquer le comportement de robots distants à des utilisateurs humains : une approche orientée-agent

2020

With the widespread use of Artificial Intelligence (AI) systems, understanding the behavior of intelligent agents and robots is crucial to guarantee smooth human-agent collaboration since it is not straightforward for humans to understand the agent’s state of mind. Recent studies in the goal-driven Explainable AI (XAI) domain have confirmed that explaining the agent’s behavior to humans fosters the latter’s understandability of the agent and increases its acceptability. However, providing overwhelming or unnecessary information may also confuse human users and cause misunderstandings. For these reasons, the parsimony of explanations has been outlined as one of the key features facilitating …

Biometric Features for Mobile Agents Ownership

2005

Multi-Agent System (MAS) architectures can be used for e-Business application due their flexibility, scalability and interoperability. Agent ownership implies that a specific person or organization (the owner) is responsible for the agent's actions. Agents, whose ownership was certainly fixed, could operate on behalf of their owner to make transactions, to buy or sell products. Security requirements in the agent ownership setting process are the identification of the owner and the protection of the identification information carried by an agent. In this paper, we investigate the possibility of using biometrics in mobile agent systems for owner authentication. Biometric features can be used …