Anytime algorithms give intelligent systems the capability to trade deliberation time for
quality of results. This capability is essential for successful operation in domains such as …

A cyber-physical system (CPS) is composed of tightly-integrated computation,
communication and physical elements. Medical devices, buildings, mobile devices, robots …

Coalition formation is a key topic in multiagent systems. One may prefer a coalition structure
that maximizes the sum of the values of the coalitions, but often the number of coalition …

Renewed motives for space exploration have inspired NASA to work toward the goal of
establishing a virtual presence in space, through heterogeneous fleets of robotic explorers …

Embodied perception refers to the ability of an autonomous agent to perceive its
environment so that it can (re) act. The responsiveness of the agent is largely governed by …

This paper analyzes coalitions among self-interested agents that need to solve
combinatorial optimization problems to operate efficiently in the world. By colluding …

Feature selection is a problem of finding relevant features. When the number of features of a
dataset is large and its number of patterns is huge, an effective method of feature selection …

A new method for Feature Subset Selection in machine learning, FSS-EBNA (Feature
Subset Selection by Estimation of Bayesian Network Algorithm), is presented. FSS-EBNA is …

We study task sequences that allow for speeding up the learner's average reward intake
through appropriate shifts of inductive bias (changes of the learner's policy). To evaluate …

This book presents a research project aimed at the building of a “thinking machine,” that is, a
general-purpose artificial intelligence. Artificial intelligence has a scientific and an …