Tutorials
Parameters and Tuning Methods in Evolutionary Computing10:00-12:00, September 27th, Monday Morning Speaker: Gusz Eiben (Free University Amsterdam, Amsterdam, The Netherlands) Abstract: This tutorial elaborates on parameter tuning in the context of Evolutionary Computing (EC). However, the main issues are of a generic character, making the tutorial relevant for many other heuristic search methods that have parameters (thus: practically all of them). |
Self-Organizing Applications with Polyagents (SOAPa)14:00-17:00, September 27th, Monday Afternoon Speaker: Sven Brueckner (Vector Research Center, a Division of TTGSI, USA) Authors:Sven Brueckner, Liz Downs, Van Parunak Abstract:The success of many multi-agent systems depends on the existence of some form of organization among the individual agents that allows the system as a whole to achieve more than any single agent. In many traditional multi-agent systems, organization is imposed externally. An alternative approach is systems that organize themselves through local interactions of many simple agents in a shared environment. Self-organizing applications (SOAs) take inspiration from biology, physical world, chemistry, or social systems. Polyagents are a construct that combines the advantages of self-organizing problem solving with the need for a stronger representation of individuals and deeper reasoning. Each polyagent typically maps to a domain entity, but as the "poly" in polyagent indicates, each polyagent actually comprises multiple agents. Typically, we distinguish between one persistent agent that we call the "avatar" and a transient swarm of behavioral agents. Thus, a polyagent system performs multi-swarm reasoning. This half-day tutorial introduces the audience to engineering SOA's in general and then it puts self-organization into the context of polyagent systems. A significant portion of the tutorial is dedicated to the use of polyagents for multi-future prediction and coordination in complex, real-world domains. |