Juan Fernández-Olivares

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This paper presents some enhancements in the temporal reasoning of a Hierarchical Task Network (HTN) planner, named SIADEX, that, up to authors knowledge, no other HTN planner has. These new features include a sound partial order metric structure, deadlines, temporal landmarking or synchronization capabilities built on top of a Simple Temporal Network and(More)
This work describes the solutions adopted to the problems tackled during the development of SIADEX, an intelligent planning and scheduling application where users play a central role. The system is being developed under a research contract with the Andalusian Regional Ministry of Environment (Spain) and integrates planning and scheduling techniques in a(More)
The application of arti® cial intelligence planning techniques to real world problems is a very di cult task which usually implies overcoming expressiveness and e ciency handicaps. Expressiveness in order to cope with the great amount of knowledge involved in these problems and also to obtain results directly, or almost directly, applicable in the ® eld(More)
HTN planning paradigm has been widely used during the last decade to model and solve planning and scheduling problems. Even so, little research have been oriented to represent and generate these planning domains automatically with the help of software tools. In this paper we present an extensible software framework directed to cover this goal, proposing an(More)
SIADEX is a complex framework that integrates several AI techniques able to design fighting plans against forest fires. It is based on four main components, a web server, that centralizes all the flow of information between the system and the user, the ontology server, that is the cornerstone of the architecture as the basis for knowledge sharing and(More)
This paper is focused on how a general-purpose hierarchical planning representation, based on the HTN paradigm, can be used to support the representation of oncology treatment protocols. The planning algorithm used is a temporally extended HTN planning process capable of interpreting such representation and generating oncology treatment plans that have been(More)
Given the absence of simple tools for modeling Planning and Scheduling problems, as well as the inability of Business Process Management for the anticipated planning of processes, this paper presents a transformation from XPDL process model diagrams into a hierarchical extension of the PDDL planning language, using the concept of workflow patterns as base(More)
OBJECTIVE This paper describes a methodology which enables computer-aided support for the planning, visualization and execution of personalized patient treatments in a specific healthcare process, taking into account complex temporal constraints and the allocation of institutional resources. To this end, a translation from a time-annotated(More)
The design of a control program is a complex process whose result must satisfy very restrictive constraints imposed by new manufacturing systems needs as flexibility, quick response, correctness and low-cost building process. Current AI Planning approaches for the synthesis of control programs are proving to be very useful to satisfy these needs. But they(More)