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In this paper, we present a robust system of self- directed autonomous robots evolving in a complex and public spaces and interacting with people. This system integrates highlevel skills of environment modeling using knowledge-based modeling and reasoning and scene understanding with robust image and video analysis, distributed autonomous decision- making using Markov decision process and Petri-Net...
A strategy to control an animal disease within an area is often based on one or more actions systematically implemented. In this paper, we illustrate how to use a Markov Decision Process (MDP) to compute an adaptive strategy depending on the pathogen spread within a group of farmers with only one decision-maker for the group. The objective at the group level is to decrease the cost of the disease...
We present a new framework for controlling a robot collaborating with a human to accomplish a common mission. Knowing that we are interested in collaboration domains where there is no shared plan between the human and the robot, the constraints on the decision process are more challenging. We study the decision process of a robot agent for a specific shared mission with a human considering the effect...
Automated composition of Web services has received much interest in the last decade, as it supports B2B applications. It aims at selecting and inter-connecting services provided by different partners in response to client requests.Planning techniques are used widely in the literature to describe Web services composition problem. However, since Web services proliferate day after day, classical planners...
A peer-to-peer server network system consists of a large number of autonomous servers logically connected in a peer-to-peer way where each server maintains a collection of documents. When a query of storing new documents is received by the system, a distributed search process determines the most relevant servers and redirects the documents to them for processing (compressing and storing at the right...
WS are distributed software components that can be exposed and invoked over the Internet using standard protocols. They communicate with their clients and with other WS by sending XML based messages over the Internet. AI planning techniques can help solving the composition of WS problem. In fact, services can be modelled as actions and the business process as planning to connect the WS. The main contribution...
Unlike mono-agent systems, multi-agent planing addresses the problem of resolving conflicts between individual and group interests. In this paper, we are using a Decentralized Vector Valued Markov Decision Process (2V-DEC-MDP) in order to solve this problem. It uses an utility function which is returning a vector representing both individual and group interest. The individual interest of an agent,...
A considerable amount of attention has been paid to the coalition formation problem to deal efficiently with tasks needing more than one agent. However, little attention has been paid to the problem of monitoring a coalition during the execution by modifying it according to the progress of the accomplishment of the task. In this paper, we consider a coalition of resource-bounded autonomous agents...
Multi-objective multi-agent planning addresses the problem of resolving conflicts between individual agent interests and the group interests. In this paper, we address this problem using a vector-valued decentralized Markov decision process (2V-DEC-MDP). The formal framework of a vector-valued MDP considered uses the value function which returns a vector representing the individual and the group interests...
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