Search results for "Multi-agent Systems"

A multi-agent based cooperative control model applied to the management of vehicles-trains

2017

The use of individual vehicles is becoming more and more important in inner cities, leading to many side problems such as traffic jam, air pollution and accidents. Intelligent vehicles have been studied so as to overcome these problems. Some solutions provided by these works are already available to the general public market such as city safety systems, lane assists,... Many research works are focusing on finding suitable and acceptable solutions to these problems and dealing with traffic jam management. The proposal can tackle the traffic jam problem whether on system level or on individual vehicle providing better control and perception systems aimed at reducing time response and/or at in…

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 …

An Observation Framework for Multi-Agent Systems

2009

Existing middleware platforms for multi-agent systems (MAS) do not provide general support for observation. On the other hand, observation is considered to be an important mechanism needed for realizing effective and efficient coordination of agents. This paper describes a framework called Agent Observable Environment (AOE) for observation-based interaction in MAS. The framework provides 1) possibility to model MAS components with RDFbased observable soft-bodies, 2) support for both query and publish/subscribe style ontology-driven observation, and 3) ability to restrict the visibility of observable information using observation rules. Additionally, we report on an implementation of the fra…

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 …

Indeterminacy Reduction in Agent Communication Using a Semantic Language

2015

In recent years, the importance of vagueness and uncertainty in the messages exchanged between agents has been highlighted, mainly due to the ubiquitous nature of the (artificial or human) agents’ communication. The imprecision in the communication becomes more significant when the autonomy of the agents increases or the number of exchanged messages for a communicative goal is limited. In this paper we conjugate ideas drawn from situation semantics theory, human communication, and the multi-agent systems (MAS) field to reduce the impact of vagueness and uncertainty present in the communication. The main advances are achieved with the help of context information, collaboration and reinforcem…

A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities

2020

The concept of Smart City has spread as a solution to ensure better access to information and services to citizens, but also as a means to reduce the environmental footprint of cities. To this end, a continuous and wide observation of the environment is necessary to analyze information that enables government bodies to act on the environment appropriately. Moreover, a diffused acquisition of information requires adequate infrastructure and proper devices, which results in relevant installation and maintenance costs. Our proposal enables reducing the number of necessary sensors to be deployed while ensuring that information is available at any time and anywhere. We present the HybridIoT syst…

Data-driven Interactive Multiobjective Optimization : Challenges and a Generic Multi-agent Architecture

2020

In many decision making problems, a decision maker needs computer support in finding a good compromise between multiple conflicting objectives that need to be optimized simultaneously. Interactive multiobjective optimization methods have a lot of potential for solving such problems. However, the growth of complexity in problem formulations and the abundance of data bring new challenges to be addressed by decision makers and method developers. On the other hand, advances in the field of artificial intelligence provide opportunities in this respect. We identify challenges and propose directions of addressing them in interactive multiobjective optimization methods with the help of multiple int…

Interacting with intelligent agents : key issues in agent-based decision support system design

2010

Use of a Semantic Language to Reduce the Indeterminacy in Agents Communication

2014

In the field of agent communications uncertainty and vagueness in the message content and in the achievable results play a primordial role when two agents (human or artificial) communicate. Even though the importance of vagueness and uncertainty has been recognized long ago, only recently mechanisms related to the communications’ semantics that allow a practical approach have been designed; more specifically, the development of tools such as agent programming languages and frameworks, which is a field of intensive research. On the other hand, recent theoretical ideas, drawn from situation semantics theory and the works of Sutton on semantic information, support this work. This paper applies…

Dealing with the right of way in advanced traffic simulation. A characterization of drivers' behaviours in a multi-agent approach

2017

International audience; With the emergence of ADAS and autonomous vehicle, the need of simulation software to test advanced systems and models is unavoidable. The objective of this work is to characterize, in a multi-agent approach, the traffic vehicles behaviours, and to model them in a versatile traffic simulator, serving as a testing tool for integration in the traffic module of the SCANeR Studio T M simulation software. The algorithm will bring more natural interactions between vehicles in simulation and allow the emergence of new relevant situations for autonomous vehicles, observable in real, such as collision risk situations or even accidents, which have for now to be scripted in sce…