In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
Dynamic plan execution strategies allow an autonomous agent to respond to uncertainties while improving robustness and reducing the need for an overly conservative plan. Executive...
Patrick R. Conrad, Julie A. Shah, Brian C. William...
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
This paper describes West2East, a Computer-Aided Agent-Oriented Software Engineering toolkit aimed at supporting the implementation of multiagent systems. West2East exploits langua...
Filtering denotes any method whereby an agent updates its belief state--its knowledge of the state of the world--from a sequence of actions and observations. In logical filtering,...