AIIA
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. In this paper we present a mixed-initiative planning approach to humanrobot interaction in a rescue domain. We deploy a model-based executive monitoring system to coordin...
AIIA
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. The paper describes CiceRobot, a robot based on a cognitive architecture for robot vision and action. The aim of the architecture is to integrate visual perception and ac...
AIIA
2005
Springer
14 years 5 months ago
2005
Springer
We present a proposal for an Automatic Speech Recognizer based on a “multigranular” model. The leading hypothesis is that speech signal contains information distributed on more...
AIIA
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. When dealing with real systems, it is unrealistic to suppose that observations can be totally ordered according to their emission dates. The partially ordered observation...
AIIA
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. Improving accuracy in Information Retrieval tasks via semantic information is a complex problem characterized by three main aspects: the document representation model, th...
AIIA
2005
Springer
14 years 5 months ago
2005
Springer
Machine Learning systems are often distinguished according to the kind of representation they use, which can be either propositional or first-order logic. The framework working wi...
AIIA
2005
Springer
14 years 5 months ago
2005
Springer
AIIA
2005
Springer
14 years 5 months ago
2005
Springer
In this paper, we illustrate an application aimed at predicting protein secondary structure. The proposed system has been devised using PACMAS, a generic architecture designed to s...
AIIA
2005
Springer
14 years 5 months ago
2005
Springer
We look at extensions of modal logic for representation and reasoning in the area of multi-agent systems. Building on dynamic logic and Henkin quantifiers, we study an unusual typ...
AIIA
2005
Springer
14 years 5 months ago
2005
Springer
In traditional classification setting, training data are represented as a single table, where each row corresponds to an example and each column to a predictor variable or the targ...