In this paper, we propose a new representation for physical control -- teleoreactive logic programs -- along with an interpreter that uses them to achieve goals. In addition, we present a new learning method that acquires recursive forms of these structures from traces of successful problem solving. We repor
The construction of expert problem-solving systems requires the development of techniques for usin...
219 pagesRobot applications in unstructured human-inhabited environments, such as households, assist...
In this paper, a new approach for learning to solve complex problems by reinforcement is proposed. I...
In this paper, we review teleoreactive logic programs, a formalism for expressing goal-directed reac...
Versatile robots will need to be programmed, of course. But beyond explicit programming by a program...
Production Systems are an inherently nondeterministic computational model used in the parsing of lan...
This thesis demonstrates how the power of symbolic processing can be exploited in the learning of lo...
In this thesis we investigate the relationships between the symbolic and sub-symbolic methods used f...
Learning capabilities of computer systems still lag far behind biological systems. One of the reason...
In this paper we propose an approach to skill acquisition which is based on a technique for inductiv...
Abstract. Robots deployed to assist and collaborate with humans in complex domains need the ability ...
Learning systems represent an approach to optimal control law design for situations where initial mo...
: This research is about the problem solving activities of novice programmers as they learn to creat...
Recursion is one of the most difficult programming topics for students. In this paper, an instructio...
Introduction Programming autonomous robots requires a language that is able to express both very hi...
The construction of expert problem-solving systems requires the development of techniques for usin...
219 pagesRobot applications in unstructured human-inhabited environments, such as households, assist...
In this paper, a new approach for learning to solve complex problems by reinforcement is proposed. I...
In this paper, we review teleoreactive logic programs, a formalism for expressing goal-directed reac...
Versatile robots will need to be programmed, of course. But beyond explicit programming by a program...
Production Systems are an inherently nondeterministic computational model used in the parsing of lan...
This thesis demonstrates how the power of symbolic processing can be exploited in the learning of lo...
In this thesis we investigate the relationships between the symbolic and sub-symbolic methods used f...
Learning capabilities of computer systems still lag far behind biological systems. One of the reason...
In this paper we propose an approach to skill acquisition which is based on a technique for inductiv...
Abstract. Robots deployed to assist and collaborate with humans in complex domains need the ability ...
Learning systems represent an approach to optimal control law design for situations where initial mo...
: This research is about the problem solving activities of novice programmers as they learn to creat...
Recursion is one of the most difficult programming topics for students. In this paper, an instructio...
Introduction Programming autonomous robots requires a language that is able to express both very hi...
The construction of expert problem-solving systems requires the development of techniques for usin...
219 pagesRobot applications in unstructured human-inhabited environments, such as households, assist...
In this paper, a new approach for learning to solve complex problems by reinforcement is proposed. I...