Auswahl der wissenschaftlichen Literatur zum Thema „Décision multi-agents“
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Zeitschriftenartikel zum Thema "Décision multi-agents"
Rust, Pierre, Gauthier Picard und Fano Ramparany. „Résilience et auto-réparation de processus de décisions multi-agents. Application à l’auto-configuration d’environnements intelligents“. Revue Ouverte d'Intelligence Artificielle 3, Nr. 5-6 (22.11.2022): 587–623. http://dx.doi.org/10.5802/roia.44.
Der volle Inhalt der QuelleDissertationen zum Thema "Décision multi-agents"
Boussard, Matthieu. „Planification multi-agents multi-objectifs : modèle et algorithme“. Caen, 2008. http://www.theses.fr/2008CAEN2065.
Der volle Inhalt der QuelleThis thesis deals with the coordination of a group of autonomous agents in the real world. So, we have to take into account uncertainty about action's outcome, about other agent's behavior and also the changes in the environment. We are using Markov decision processes (MDP), whose allow to manage those uncertainties in a decision process. In order to manage the interactions with the other agents, we give a formalism to express them, and also we give a solution to integrate them in a on-line decision process. This is an extension of the Markov Decision Processes where the agent are trying to optimize their own reward as well as the welfare of the group. This is a mutlicriteria decision problem, and we give it a solution. Once this formalism built, we tackle some classical coordination problems : platooning, spatial coverage, coalitions formation. Those applications allow us to apply with success the principle given at the beginning of the thesis. The extensions of this work will be dealing with on-line learning, and also game theory in order to detect and to solve deadlocks
Dafflon, Baudoin. „Modèle multi-agent d'inspiration physique pour la prise de décision : Application à la conduite en convoi“. Thesis, Belfort-Montbéliard, 2014. http://www.theses.fr/2014BELF0240/document.
Der volle Inhalt der QuelleBaudoin Dafflon’s doctoral work is placed in the general frame of self-organised systems. This kind of systems bases on the hypothesis that their organizationcan be the result of the individual behaviour of each one of the autonomous and proactive component entities. This emergent organization satisfies the objectives entrusted to the self-organizing system. This thesis is mainly directed to application domains in which the self-organizing system is composed of intelligent, frequently mobile material devices places in a physical, uncertain environment. Case-studies made included in this Thesis belong to the vehicle platoon problem.This Thesis interests mainlyto the decision-making problem of the self organizing systems of this kind. This aspect is particularly important when the system evolves in an uncertain environment. Uncertainty can be the consequence of an imperfect knowledge of the environment or because of the occurrence of unpredictable events. In those situations the autonomous entities have to decide locally about the best action to be performed in order for the global organization to be maintained. Even if information exchange among autonomous entities is not excluded a-priori, this doctoral work has been done under the restriction of non-communication, in order to investigate the reach of completely de-centralised approaches.Among the contributions of this thesis we can mention the following. Firstly, the proposal of an architecture that separates decision making and control, thereby allowing a simpler integration of uncertainty-management. An example from the application domain (vehicle platoons) is obstacle avoidance. Secondly, this thesis introduces a hierarchy of multi-agent systems such that decision-making is also conceived as a self-organized process in a virtual agent’s world. The later is built from an abstraction process based on the perceptions produced by material agents. Lastly, this thesis proposes physics-inspired interaction mechanisms for virtual agents. Those interaction models based on phenomena such as attraction-repulsion forces or gas dynamics, allow for a computational decision making process based on the laws and properties of the adopted physical models.Doctoral work presented in this Thesis has been done in the framework of the ANR-VTT project
Delecroix, Fabien. „Dialoguer pour décider : recommandation experte proactive et prise de décision multi-agents équitable“. Thesis, Lille 1, 2015. http://www.theses.fr/2015LIL10011/document.
Der volle Inhalt der QuelleIf decision making can be a pure individual process, it can involve several actors and present social aspects. In this thesis, I consider two types of social decision process : supported decision making and collective decision making. Concerning supported decision making, two actors have distinct roles : the decision maker and the assistant. Here, the decision maker is a human agent and the assistant a software one. In many applications, the dialogical abilities of the assistant are deceptive and the dialogue lacks of consistency. To tackle this problem, we design a proactive dialogical agent aiming for the credibility in conversation and the relevance of recommandations : our agent leads the conversation in asking relevant questions to collect the preferences of the decision maker and use them in recommending the alternatives that fit the most. We apply our approach on the e-commerce field. The second contribution concerns collective decision. The objective is to define a process that lead to a fair agreement, even if participants have incomplete preferences. For this purpose, I define the fair agreements by applying the leximax criterion on the rank of alternatives. Then, I propose a negotiation protocol to reach such agreements and the strategy is taken into account to evaluate it. Finally, the protocol is applied to the search of a meeting point in a maze
Cointe, Nicolas. „Jugement éthique pour la décision et la coopération dans les systèmes multi-agents“. Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEM043/document.
Der volle Inhalt der QuelleThe increasing use of multiagent systems in various fields raises the need of autonomous agents able to take into account such ethical principles in their decisions. More and more propositions are published, but they are often agent-centered and they don’t consider the issues raised by the interactions between artificial agents and possibly humans, potentially using another ethics. Our goal is to give the agents the ability to reason on ethics to enable an ethics-based cooperation in multiagent systems. This work presents a model of ethical judgment for artificial autonomous agents in multiagent systems both useful to influence their decisions and behaviors, and describes an ethics-based cooperation framework. This model distinguishes the morality (or theory of the good), describing the goodness of actions in a context regarding a set of moral values and moral rules, and ethics (or theory of the right), describing the rightness of an action regarding a set of ethical principles. The use of this model in the decision process generates a conform behavior regarding the chosen theories of good and right. An agent may also use this model to judge the observed behavior of the other agents and employ this judgment to adapt its own behavior towards the judged agents. The detailed presentation of this model is followed by some experimentations to show the use of this model in a realistic application based on an ethical asset management scenario. The results show how the behaviors of the agents might be impacted and the efficiency of this model to discriminate the behaviors of the others
Shen, Ying. „Élaboration d'ontologies médicales pour une approche multi-agents d'aide à la décision clinique“. Thesis, Paris 10, 2015. http://www.theses.fr/2015PA100040/document.
Der volle Inhalt der QuelleThe combination of semantic processing of knowledge and modelling steps of reasoning employed in the clinical field offers exciting and necessary opportunities to develop ontologies relevant to the practice of medicine. In this context, multiple medical databases such as MEDLINE, PubMed are valuable tools but not sufficient because they cannot acquire the usable knowledge easily in a clinical approach. Indeed, abundance of inappropriate quotations constitutes the noise and requires a tedious sort incompatible with the practice of medicine.In an iterative process, the objective is to build an approach as automated as possible, the reusable medical knowledge bases is founded on an ontology of the concerned fields. In this thesis, the author will develop a series of tools for knowledge acquisition combining the linguistic analysis operators and clinical modelling based on the implemented knowledge typology and an implementation of different forms of employed reasoning. Knowledge is not limited to the information from data, but also and especially on the cognitive operators of reasoning for making them operational in the context relevant to the practitioner.A multi-agent system enables the integration and cooperation of the various modules used in the development of a medical ontology.The data sources are from medical databases such as MEDLINE, the citations retrieved by PubMed, and the concepts and vocabulary from the Unified Medical Language System (UMLS).Regarding the scope of produced knowledge bases, the research concerns the entire clinical process: diagnosis, prognosis, treatment, and therapeutic monitoring of various diseases in a given medical field.It is essential to identify the different approaches and the works already done.Different paradigms will be explored: 1) Evidence Based Medicine. An index can be defined as a sign related to its mode of implementation; 2) Case-based reasoning, which based on the analogy of clinical situations already encountered; 3) The different semantic approaches which are used to implement ontologies.On the whole, we worked on logical aspects related to cognitive operators of used reasoning, and we organized the cooperation and integration of exploited knowledge during the various stages of the clinical process (diagnosis, prognosis, treatment, therapeutic monitoring). This integration is based on a SMAAD: multi-agent system for decision support
Benabbou, Nawal. „Procédures de décision par élicitation incrémentale de préférences en optimisation multicritère, multi-agents et dans l'incertain“. Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066101/document.
Der volle Inhalt der QuelleThis thesis work falls within the area of algorithmic decision theory which is at the junction of decision theory, operations research and artificial intelligence. Our aim is to produce algorithms allowing the fast resolution of decision problems in complex environments (multiple criteria, multi-agents, uncertainty). This work focuses on decision-theoretic elicitation and uses preferences to efficiently determine the best solutions among a set of alternatives explicitly or implicitly defined (combinatorial optimization). For combinatorial optimization problems, we propose and study a new approach consisting in interleaving incremental preference elicitation and preference-based search. The idea is to use the exploration to identify informative preference queries while exploiting answers to better focus the search on the preferred solutions. This approach leads us to propose incremental elicitation procedures for multi-objective state-space search problems, multicriteria shortest path problems, multicriteria minimum spanning tree problems, multi-agents knapsack problems and sequential decision problems under uncertainty. We provide theoretical guarantees on the correctness of the proposed algorithms and we present numerical tests showing their practical efficiency
Benabbou, Nawal. „Procédures de décision par élicitation incrémentale de préférences en optimisation multicritère, multi-agents et dans l'incertain“. Electronic Thesis or Diss., Paris 6, 2017. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2017PA066101.pdf.
Der volle Inhalt der QuelleThis thesis work falls within the area of algorithmic decision theory which is at the junction of decision theory, operations research and artificial intelligence. Our aim is to produce algorithms allowing the fast resolution of decision problems in complex environments (multiple criteria, multi-agents, uncertainty). This work focuses on decision-theoretic elicitation and uses preferences to efficiently determine the best solutions among a set of alternatives explicitly or implicitly defined (combinatorial optimization). For combinatorial optimization problems, we propose and study a new approach consisting in interleaving incremental preference elicitation and preference-based search. The idea is to use the exploration to identify informative preference queries while exploiting answers to better focus the search on the preferred solutions. This approach leads us to propose incremental elicitation procedures for multi-objective state-space search problems, multicriteria shortest path problems, multicriteria minimum spanning tree problems, multi-agents knapsack problems and sequential decision problems under uncertainty. We provide theoretical guarantees on the correctness of the proposed algorithms and we present numerical tests showing their practical efficiency
Diago, Ndeye Arame. „Mécanismes de négociation multilatérale pour la prise de décision collective“. Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE1174/document.
Der volle Inhalt der QuelleCollective decision making is a process in which many participants with different interests interact in order to build a solution to their problem. It is inherent to many organisations and companies. Nowadays, the advances in Artificial Intelligence, notably, Multi-Agents Systems enabled the automation of decision-making processes in order to analyse and to better understand how these mechanisms work. A collective decision may be made by using a voting system or by using negotiation. In this thesis, we focus on multilateral negotiation for collective decision making by proposing negotiation models. The proposed models based on heuristic approach. The agents interact with them in order to build a solution to their problem. This context is different from models based on game theory where the set of possible solutions are supposed to be known by all agents. So heuristic negotiation issue is that agents' reasoning may be very complex. This complexity grows where the number of agents and issues to be negotiated are important. The goal of this research work consists of devising negotiation mechanisms where agents'interaction are fully decentralized. We focus on organisation aspect of the multi-agent system by using divide and conquer approach in order to reduce the negotiation complexity and hence to facilitate research of agreements. Our works tackle negotiation under different contexts which lead us to bring three contributions which focus on agents' organization, interaction protocols, negotiation object, concession strategies and effective and fair solution concept. The proposed mechanisms are implemented in JavaJade. We analyse the convergence of the negotiation, negotiation time and quality of the solution. Our models are compared with a centralized approach where all of the agents are gathered around one group to negotiate. Our empirical analyses show that our propositions allow the agents to reach collectives agreements
Morge, Maxime. „Syst'eme dialectique multi-agents pour l'aide 'a la concertation“. Phd thesis, Ecole Nationale Supérieure des Mines de Saint-Etienne, 2005. http://tel.archives-ouvertes.fr/tel-00797376.
Der volle Inhalt der QuelleFerrand, Nils. „Modèles Multi-Agents pour l'Aide à la Décision et la Négociation en Aménagement du Territoire“. Phd thesis, Université Joseph Fourier (Grenoble), 1997. http://tel.archives-ouvertes.fr/tel-00003562.
Der volle Inhalt der QuelleBuchteile zum Thema "Décision multi-agents"
BENMAMMAR, Badr, und Asma AMRAOUI. „Application de l’intelligence artificielle dans les réseaux de radio cognitive“. In Gestion et contrôle intelligents des réseaux, 233–60. ISTE Group, 2020. http://dx.doi.org/10.51926/iste.9008.ch9.
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