AbstractThis paper postulates a rigorous method for the construction of classical planning domain models. We describe, with the help of a non-trivial example, a tool-supported method for encoding such models. The method results in an “object-centred” specification of the domain that lifts the representation from the level of the literal to the level of the object. Thus, for example, operators are defined in terms of how they change the state of objects, and planning states are defined as amalgams of the objects' states. The method features two classes of tools: for initial capture and validation of the domain model; and for operationalising the domain model (a process we call compilation) for later planning. Here we focus on compilation too...
The Planning Domain Definition Language (PDDL) successfully encodes classical planning tasks by easi...
The paper raises some issues relating to the engineering of domain models for automated planning. It...
Knowledge engineering in AI planning is the process that deals with the acquisition, validation and ...
AbstractThis paper postulates a rigorous method for the construction of classical planning domain mo...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
A great deal of emphasis in classical AI planning research has been placed on search-control issues ...
This report illustrates how new methods and techniques from the area of knowledge representation and...
The development of domain-independent planners within the AI Planning community is leading to “off...
Encoding a planning domain model is a complex task in realistic applications. It includes the analys...
The Planning Domain Definition Language (PDDL) successfully encodes classical planning tasks by easi...
The paper raises some issues relating to the engineering of domain models for automated planning. It...
Knowledge engineering in AI planning is the process that deals with the acquisition, validation and ...
AbstractThis paper postulates a rigorous method for the construction of classical planning domain mo...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
This paper postulates a rigorous method for the construction of classical planning domain models. We...
A great deal of emphasis in classical AI planning research has been placed on search-control issues ...
This report illustrates how new methods and techniques from the area of knowledge representation and...
The development of domain-independent planners within the AI Planning community is leading to “off...
Encoding a planning domain model is a complex task in realistic applications. It includes the analys...
The Planning Domain Definition Language (PDDL) successfully encodes classical planning tasks by easi...
The paper raises some issues relating to the engineering of domain models for automated planning. It...
Knowledge engineering in AI planning is the process that deals with the acquisition, validation and ...