Abstract. Ant Colony Optimization (ACO) is a collection of metaheuristics inspired by foraging in ant colonies, whose aim is to solve combinatorial optimization problems. We identi...
Abstract. Methods of adaptive constraint satisfaction have recently become of interest to overcome the limitations imposed on “black-box” search algorithms by the no free lunch...
The key problem in applying verification techniques such as model checking to agent architectures is to show how to map systematically from an agent program to a model structure t...
This paper proposes an idea for constructing a personalized recommendation system for the Electronic Program Guide (EPG). This system would use a basic statistics method with feedb...
This paper considers the use of randomly generated directed graphs as neighborhoods for particle swarm optimizers (PSO) using fully informed particles (FIPS), together with dynamic...
Arvind S. Mohais, Rui Mendes, Christopher Ward, Ch...
In this paper we present several efficient computational procedures for defeasible reasoning while the plausible and well-defined semantics, viz. preferred models and stable mode...
In this paper we describe a new way to improve the usability of complex hardware setups in Intelligent Environments. By introducing a virtual character, we facilitate intuitive int...
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey ...
In content-based image retrieval (CBIR), the user usually poses several labelled images and then the system attempts to retrieve all the images relevant to the target concept defi...