Abstract. A well-known difficulty with solving Constraint Satisfaction Problems (CSPs) is that, while one formulation of a CSP may enable a solver to solve it quickly, a different ...
Particle filtering (PF) for dynamic Bayesian networks (DBNs) with discrete-state spaces includes a resampling step which concentrates samples according to their relative weight in ...
This work presents some anticipatory mechanisms in an agent architecture, modeling affective behaviours as effects of surprise. Through experiment discussion, the advantages of bec...
Abstract. This paper describes a new way of implementing an intelligent web caching service, based on an analysis of usage. Since the cache size in software is limited, and the sea...
An often problematic feature in answer set programming is that a program does not always produce an answer set, even for programs which represent default information in a seemingl...
Abstract. In human-like reasoning it often happens that different conditions, partially alternative and hierarchically structured, are mentally grouped in order to derive some conc...
Francesco Buccafurri, Gianluca Caminiti, Domenico ...
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
We present an approach for recovery from perceptual failures, or more precisely anchoring failures. Anchoring is the problem of connecting symbols representing objects to sensor da...
Abdelbaki Bouguerra, Lars Karlsson, Alessandro Saf...
Abstract. Game theory is a widely used formal model for studying strategical interactions between agents. Boolean games [8] are two players, zero-sum static games where players...
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on background...