Temporal planning (TP) is notoriously difficult because it requires to solve a propositional STRIPS planning problem with temporal constraints. In this paper, we propose an efficie...
A robot must often react to events in its environment and exceptional conditions by suspendingor abandoning its current plan and selecting a new plan that is an appropriate respons...
This paper investigates the notion of subgoals as used in plans in cognitive agent programming languages. These subgoals form act representation of more concrete courses of action ...
M. Birna van Riemsdijk, Mehdi Dastani, John-Jules ...
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Expert programmers possess programming knowledge, which is language independent and abstract. Still, programming is mostly taught only via constructs of a programming language and...