DELIBERATIVE EVOLUTION IN MULTI-AGENT SYSTEMS

Deliberative Evolution in Multi-Agent Systems

Evolution of automated systems, in particular evolution of automated agents based on agent deliberation, is the topic of this paper. Evolution is not a merely material process, it requires interaction within and between individuals, their environments and societies of agents. An architecture for an individual agent capable of (1) deliberation about the creation of new agents, and (2) (run-time)...

From Reactive to Deliberative Multi-agent Planning

Deliberate Evolution in Multi-Agent Systems

This paper presents an architecture for an agent capable of deliberation about the creation of new agents, and of actually creating a new agent in the multi-agent system, on the basis of this deliberation. After its creation the new agent participates fully in the running multi-agent system. The agent architecture is based on an existing generic agent model, and includes explicit formal concept...

Modeling Lateral Communication in Holonic Multi Agent Systems

Agents, in a multi agent system, communicate with each other through the process of exchanging messages which is called dialogue. Multi agent organization is generally used to optimize agents’ communications. Holonic organization demonstrates a self-similar recursive and hierarchical structure in which each holon may include some other holons. In a holonic system, lateral communication occurs b...

Interleaving Deliberative and Reactive Planning in Dynamic Multi-Agent Domains

Reactive planning, consisting of pre-deened sensor-action rules, is well suited to eeectively respond to dynamic changes in real-time environments. However , it is in general challenging to strategically reason about long or short-term objectives using reac-tive planning. Therefore, ideally, deliberative and reactive planning should be integrated. In this paper , we introduce an adaptive interl...