This paper addresses the problem of how to implement a proactive behavior according to a two-tiered (i.e., both theoretical and pragmatic) perspective. Theoretically, we claim that abstraction must be used to render agents able to solve complex problems. Pragmatically, we illustrate a technique devised to generate abstract spaces starting from a “ground” description of the domain being modeled
Abstraction has been used in combinatorial search and action planning from the very beginning of AI....
AbstractWe present a novel method for building Abstrips style abstraction hierarchies in planning. T...
We present a novel method for building ABSTRIPS-style abstraction hierarchies in planning. The aim o...
Abstraction is a technology that enables interleaved planning and execution, the much sought-after q...
A quantitative model of abstraction in problem solving is presented which explains how and to what e...
The use of abstraction in problem solving is an effective approach to reducing search, but finding g...
Abstraction can be an effective technique for dealing with the complexity of planning tasks. This p...
This paper presents a parametric system, devised and implemented to perform hierarchical planning ...
Ph.D. Thesis, Computer Science Dept., U. Rochester; Prof. Dana H. Ballard, thesis advisor; simultane...
We describe a framework for building abstraction hierarchies whereby an agent alternates skill- and ...
The use of abstraction in problem solving is an effective approach to reducing search, but finding g...
Abstraction is one of the most promising approaches to improve the performance of problem solvers. I...
Abstraction is one of the most promising approaches to improve the performance of problem solvers. I...
We develop a general framework for agent abstraction based on the situation calculus and the ConGolo...
We present a novel method for building style abstraction hierarchies in planning. The aim of this m...
Abstraction has been used in combinatorial search and action planning from the very beginning of AI....
AbstractWe present a novel method for building Abstrips style abstraction hierarchies in planning. T...
We present a novel method for building ABSTRIPS-style abstraction hierarchies in planning. The aim o...
Abstraction is a technology that enables interleaved planning and execution, the much sought-after q...
A quantitative model of abstraction in problem solving is presented which explains how and to what e...
The use of abstraction in problem solving is an effective approach to reducing search, but finding g...
Abstraction can be an effective technique for dealing with the complexity of planning tasks. This p...
This paper presents a parametric system, devised and implemented to perform hierarchical planning ...
Ph.D. Thesis, Computer Science Dept., U. Rochester; Prof. Dana H. Ballard, thesis advisor; simultane...
We describe a framework for building abstraction hierarchies whereby an agent alternates skill- and ...
The use of abstraction in problem solving is an effective approach to reducing search, but finding g...
Abstraction is one of the most promising approaches to improve the performance of problem solvers. I...
Abstraction is one of the most promising approaches to improve the performance of problem solvers. I...
We develop a general framework for agent abstraction based on the situation calculus and the ConGolo...
We present a novel method for building style abstraction hierarchies in planning. The aim of this m...
Abstraction has been used in combinatorial search and action planning from the very beginning of AI....
AbstractWe present a novel method for building Abstrips style abstraction hierarchies in planning. T...
We present a novel method for building ABSTRIPS-style abstraction hierarchies in planning. The aim o...