In formal approaches to commonsense reasoning about actions. the Ramification Problem denotes the problem of handling indirect effects which implicitly derive from so-called state...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Task execution in multi-agent environments may require cooperation among agents. Given a set of agents and a set of tasks which they have to satisfy, we consider situations where ...
This paper addresses the logical foundations of goal-regression planning in autonomous rational agents. It focuses mainly on three problems. The first is that goals and subgoals w...
Renewed motives for space exploration have inspired NASA to work toward the goal of establishing a virtual presence in space, through heterogeneous eets of robotic explorers. Info...
Nicola Muscettola, P. Pandurang Nayak, Barney Pell...
In this paper, we propose a definition of goal achievability: given a basic action theory describing an initial state of the world and some primitive actions available to a robot...
We argue that the situation calculus is a natural formalism for representing and reasoning about control and strategic information. As a case study, in this paper we provide a sit...
Given a set of numbers, the two-way partitioning problem is to divide them into two subsets, so that the sum of the numbers in each subset are as nearly equal as possible. The pro...