Intelligent planning for large‐scale multi‐agent systems

Multiagent Systems for Distributed Intelligent Control

Intelligent Agents and Multiagent Systems

Methodologies Can be mainly divided into two groups: „ Those that take inspiration from object-oriented development, and either extend existing OO methodologies or adapt OO methodologies to the purposes of AOSE ‰ AAII methodology (Kinny et al., 96) ‰ Gaia (Wooldridge et al., 00)

Social-based planning model for multiagent systems

An idea that seems to be gaining considerable ground is that modeling the interactions of a multi-agent system cannot be related exclusively to the actual agent and its communication capabilities, but must involve the use of concepts found in organizational engineering as well. It is possible to establish different types of agent organizations according to the type of communication, the coordin...

PLANNING and INTELLIGENT SYSTEMS

Planning, as an inseparable component of intelligent behavior, became a research interest as early as AI was founded. The possibility of an automated planning system has been studied at different levels of complexity and over a wide area of application domains. Many methodologies have been proposed and several planning systems have been built, nevertheless there is a long way to go before we ca...

RoboCup Rescue: A Grand Challenge for Multiagent and Intelligent Systems

issues that involves very large numbers of heterogeneous agents in the hostile environment. The intention of the RoboCup Rescue project is to promote research and development in this socially significant domain at various levels, involving multiagent teamwork coordination, physical agents for search and rescue, information infrastructures, personal digital assistants, a standard simulator and d...