In this paper, we introduce a method for learning and adapting cooperative control strategies in real-time stochastic domains. Our framework is an instance of the intelligent cooperative control architecture (iCCA). The agent starts by following the “safe” plan calculated by the planning module and incrementally adapting its policy to maximize the cumulative rewards. Actor-critic and consensusb...

The need for cooperation in the planning of metropolitan trans­ portation facilities has taken on added significance as a result of the Interstate Road Program with its emphasis on arterial improvement in urban areas. A meeting to discuss this problem more fully was held in October 1958 at Syracuse University. This meeting, the National Conference on Highways and Urban Redevelopment (more commo...

In the context of robot team control, this paper focuses on a framework for designing a team plan and its projection onto individual robotic agents. A mission plan, represented as a coloured Petri net, is calculated through constraint optimisation from goal and time requirements. The mission plan is then turned into a hierarchical team plan through reduction rules that also structure the dynami...

A simple framework is developed for representing plans, goals and resources of agents in order to model cooperative planning behavior. Plans are represented as acyclic networks of skills that, given adequate initial resources, can realize special resources (goals). Given the storage costs of resources, application costs of skills, and values of goals we can reason about the profits of a plan fo...

This contribution proposes a model for argumentation-based multi-agent planning, with a focus on cooperative scenarios. It consists in a multi-agent extension of DeLP-POP, partial order planning on top of argumentation-based defeasible logic programming. In DeLP-POP, actions and arguments (combinations of rules and facts) may be used to enforce some goal, if their conditions (are known to) appl...

tance of distributed continual planning concepts; coordinating teams of unmanned ground vehicles in dynamic environments is an example of such a domain. In this article, I illustrate the ideas in, and promises of, distributed continual planning by showing how acquiring and distributing operator intent among multiple semiautonomous vehicles supports ongoing, cooperative mission elaboration and r...

the performance of women agribusiness cooperatives in oyo state, nigeria was assessed in this study. the study employed a multi-stage sampling technique to select 6 women cooperative groups (aggregating to 175 individuals); 36 individual women; and 4 institutions across 6 lgas in two agricultural zones of the state. findings show that majority (55.6%) of the respondents belong to processing org...

This article deals with a human model of cooperative problem solving based on a psychological experimentation.Ourmain goal is to improve the design of openmultiagent systems able to interact with human beings.Weaim at analyzing, modelling and simulating human capabilities of planning and interacting in a cooperative problem solving context. Our planning model uses the BDI concepts extended with...

The major purpose of our research is to study cooperative planning for multi-agent system in time-critical environment. The RoboCup simulator league is the most interesting target for our research. Each agent of the team 11monkeys is realized as an autonomous agent that has two sets of rules, namely state dependent rules and position speciied rules. We call the former dynamic role and the latte...