An algorithm for replanning

Multi-agent Cooperation in a Planning Framework

The promise of multi-agent systems is that multiple agents can solve problems more efficiently than single agents can. In this paper we propose a method to implement cooperation between agents in the planning phase, in order to achive more cost-effective solutions than without cooperation. Two results are presented: First of all, we introduce a...

A Framework for Multi-Agent Planning

We introduce a computational framework, consisting of resources, skills, goals and services to represent the plans of individual agents and to develop models and algorithms for cooperation processes between a collection of agents.

A Plan Fusion Algorithm for Multi-Agent Systems

We introduce an algorithm for cooperative planning in multi-agent systems. The algorithm enables the agents to combine (fuse) their plans in order to increase their joint profits. A computational resources and skills framework is developed for representing the planned activities of an agent under time constraints. Using this resource-skill...

A Dynamic Systems Framework for Multi-Agent Experiments

Thiobacillus ferrooxidans, a versatile mineworker

A Review of Bioenergetics and Enzymology of Sulfur Compound Oxidation by Acidophilic Thiobacilli

A Dutch feasibility study on microbial coal desulfurization

Microbiology of sulfur-oxidizing bacteria

Geochemistry of sulfides in coal and microbial leaching experiments