Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
Models of forest ecosystems are needed to understand how climate and land-use change can impact biodiversity. In this paper we describe an individual-based, spatially-explicit for...
Sathish Govindarajan, Mike Dietze, Pankaj K. Agarw...
Latent Semantic Indexing (LSI) is a well established and effective framework for conceptual information retrieval. In traditional implementations of LSI the semantic structure of...
The Belief-Desire-Intention (BDI) model of agency is an architecture based on Bratman’s theory of practical reasoning. Hierarchical Task Network (HTN) decomposition on the other ...