In this paper, we present MAPWeb , a multiagent framework that integrates planning agents and Web information retrieval agents. The goal of this framework is to deal with problems that require planning with information to be gathered from the Web. Because of flexibility and efficiency reasons, MAPWeb decouples planning from information gathering, by splitting a planning problem into two parts: ...

A key challenge in non-cooperative multi-agent systems is that of developing efficient planning algorithms for intelligent agents to perform effectively among boundedly rational, self-interested (i.e., non-cooperative) agents (e.g., humans). To address this challenge, we investigate how intention prediction can be efficiently exploited and made practical in planning, thereby leading to efficien...

Cooperative game is an approach for a group of decision-making agents (DMAs) to reach mutually beneficial agreements where the players make agreements in order to optimize their common cost or payment. A coordination mechanism is required to achieve a rational and structured plan for a decision jointly made by independent DMAs. This paper presents a cooperative game for the problem of collabora...

this paper is a research on the ordering planning of a supply chain with one supplier, multi buyer and multi deteriorating items. items have fixed life time and expire dates. the ordering period is taken as variable and must be computed the proposed models. the problem is studied via two different approaches the first is the joint replenishment, based on the hwang and chew's model [3] and ...

<p style="text-align: justify;">School education should not only provide students with content knowledge but also effective skills that will be appropriate in their adult lives, such as the competence solving problems individually or being able to work a member of team. Students active participants instead passive listeners lessons. There is wide variety teaching methods practicing teache...

The main contribution of this work is an online path planning framework for cooperative search and localization using unmanned aerial vehicles. In this work, a team of vehicles is used to cooperatively search for a single stationary target. A vision-based sensing system, that incorporates position and attitude uncertainty, is used to develop probabilistic likelihood functions. By accounting for...

This paper presents a real-time motion planning scheme for urban autonomous driving that will be deployed as a basis for cooperative maneuvers defined in the European project AutoNet2030. We use a path-velocity decomposition approach to separate the motion planning problem into a path planning problem and a velocity planning problem. The path planner first generates a collision-free piecewise l...