Coordination within decentralized agent groups frequently requires reaching global consensus, but typical hierarchical approaches to reaching such decisions can be complex, slow, ...
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
A voting protocol for decision-making in virtual organizations is presented. In an agent-based virtual organization the functions of formation, management and dissolution of the o...
Jeremy V. Pitt, Lloyd Kamara, Marek J. Sergot, Ale...
Agent-based modelling approaches are usually based on logical languages, whereas in many areas dynamical system models based on differential equations are used. This paper shows ho...
Cooperative autonomous agents form coalitions in order to share and combine resources and services to efficiently respond to market demands. With the variety of resources and servi...