We address performance issues associated with simulationbased algorithms for optimizing Markov reward processes. Specifically, we are concerned with algorithms that exploit the re...
Abstract This paper depicts and evaluates an evolutionary design process for generating a complex self-organizing multicellular system based on Cellular Automata (CA). We extend th...
This paper explores a topological perspective of planning in the presence of uncertainty, focusing on tasks specified by goal states in discrete spaces. The paper introduces stra...
em is a computing model, which abstracts from the way the living cells process chemical compounds in their compartmental structure. The regions defined by a membrane structure con...
Identifying and resolving design problems in the early design phase can help ensure software quality and save costs. There are currently few tools for analyzing designs expressed ...
Lijun Yu, Robert B. France, Indrakshi Ray, Kevin L...