Goals rarely occur in isolation. Efficient plan-ning for conjunctive goals is therefore of central interest. We identify a particular class of con-junctive goal interactions, which cannot be di-rectly inferred from the domain knowledge, as they are not explicitly represented in the precon-ditions and effects of the domain operators. We call such goal interactions, quality goal interac-tions, for they relate to issues on plan quality rather than to the common plan achievement is-sues. We illustrate the discussion with examples and briefly present the method we are develop-ing for acquiring control knowledge to direct the planner to consider the quality-goal interactions. 1 What Are Goal Interactions Planning goals rarely occur in isolation. ...
In this work we aim to narrow the gap between plan recognition and planning by exploiting the power ...
Multi-agent systems and autonomous agents are becoming increasingly important in current computing t...
In classical planning, the planner is given a concrete goal; it returns a plan for it or a failure m...
Past Planning systems have generally focused on structures capable of working in all domains (domain...
In producing plans, human planners take into account a variety of criteria that guide their decision...
A significant issue in cognitive systems research is to make an agent formulate and manage its own g...
Subgoal interactions have received considerable attention in AI Planning. Earlier analyses by Korf [...
Generating action sequences to achieve a set of goals is a computationally dicult task. When multipl...
Generating production-quality plans is an essential element in transforming planners from research t...
Expectancy and value have emerged as two major determinants of motivation. However, the exact nature...
Abstract In earlier work (Hammond 1986), we proposed a mechanism for learning from execution-time pl...
The paper addresses the problem of computing goal orderings, which is one of the longstanding issues...
Subgoal interactions have received considerable attention in AI Planning. Earlier analyses by Korf ...
This paper explores the issue of learning operational knowledge to improve quality of the plans prod...
Goals, as typically conceived in AI planning, provide an insufficient basis for choice of action, an...
In this work we aim to narrow the gap between plan recognition and planning by exploiting the power ...
Multi-agent systems and autonomous agents are becoming increasingly important in current computing t...
In classical planning, the planner is given a concrete goal; it returns a plan for it or a failure m...
Past Planning systems have generally focused on structures capable of working in all domains (domain...
In producing plans, human planners take into account a variety of criteria that guide their decision...
A significant issue in cognitive systems research is to make an agent formulate and manage its own g...
Subgoal interactions have received considerable attention in AI Planning. Earlier analyses by Korf [...
Generating action sequences to achieve a set of goals is a computationally dicult task. When multipl...
Generating production-quality plans is an essential element in transforming planners from research t...
Expectancy and value have emerged as two major determinants of motivation. However, the exact nature...
Abstract In earlier work (Hammond 1986), we proposed a mechanism for learning from execution-time pl...
The paper addresses the problem of computing goal orderings, which is one of the longstanding issues...
Subgoal interactions have received considerable attention in AI Planning. Earlier analyses by Korf ...
This paper explores the issue of learning operational knowledge to improve quality of the plans prod...
Goals, as typically conceived in AI planning, provide an insufficient basis for choice of action, an...
In this work we aim to narrow the gap between plan recognition and planning by exploiting the power ...
Multi-agent systems and autonomous agents are becoming increasingly important in current computing t...
In classical planning, the planner is given a concrete goal; it returns a plan for it or a failure m...