In this paper we describe a class of a problem of goal satisfaction in mutual exclusion network that can be solved in polynomial time. This problem provides a common basis for rea...
The purpose of this paper is to introduce a multi-agent model for plan synthesis in which the production of a global shared plan is based on a promising unified framework based on...
This paper describes an explanation-based approach lo learning plans despite a computationally intractable domain theory. In this approach, the system learns an initial plan using...
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
We will discuss the shortcomings of known variable and value ordering strategies for Graphplan's backward search phase, and propose a novel strategy that is based on a notion...