PDDL2. 1: An extension to PDDL for expressing temporal planning domains

M Fox, D Long - Journal of artificial intelligence research, 2003 - jair.org
In recent years research in the planning community has moved increasingly toward s
application of planners to realistic problems involving both time and many typ es of …

A tutorial on planning graph based reachability heuristics

D Bryce, S Kambhampati - AI Magazine, 2007 - ojs.aaai.org
The primary revolution in automated planning in the last decade has been the very
impressive scale-up in planner performance. A large part of the credit for this can be …

Branching and pruning: An optimal temporal POCL planner based on constraint programming

V Vidal, H Geffner - Artificial Intelligence, 2006 - Elsevier
A key feature of modern optimal planners such as graphplan and blackbox is their ability to
prune large parts of the search space. Previous Partial Order Causal Link (POCL) planners …

COLIN: Planning with continuous linear numeric change

AJ Coles, AI Coles, M Fox, D Long - Journal of Artificial Intelligence …, 2012 - jair.org
In this paper we describe COLIN, a forward-chaining heuristic search planner, capable of
reasoning with COntinuous LINear numeric change, in addition to the full temporal …

When is temporal planning really temporal?

W Cushing, S Kambhampati, Mausam… - Proceedings of the 20th …, 2007 - dl.acm.org
While even STRIPS planners must search for plans of unbounded length, temporal planners
must also cope with the fact that actions may start at any point in time. Most temporal …

[SÁCH][B] Handbook of temporal reasoning in artificial intelligence

MD Fisher, DM Gabbay, L Vila - 2005 - books.google.com
This collection represents the primary reference work for researchers and students in the
area of Temporal Reasoning in Artificial Intelligence. Temporal reasoning has a vital role to …

Processes and continuous change in a SAT-based planner

JA Shin, E Davis - Artificial Intelligence, 2005 - Elsevier
The TM-LPSAT planner can construct plans in domains containing atomic actions and
durative actions; events and processes; discrete, real-valued, and interval-valued fluents; …

[PDF][PDF] Heuristic Planning for PDDL+ Domains.

WM Piotrowski, M Fox, D Long, D Magazzeni… - … : Planning for Hybrid …, 2016 - cdn.aaai.org
Planning with hybrid domains modelled in PDDL+ has been gaining research interest in the
Automated Planning community in recent years. Hybrid domain models capture a more …

[PDF][PDF] Planning with Problems Requiring Temporal Coordination.

A Coles, M Fox, D Long, A Smith - AAAI, 2008 - cdn.aaai.org
We present the first planner capable of reasoning with both the full semantics of PDDL2. 1
(level 3) temporal planning and with numeric resources. Our planner, CRIKEY3, employs …

An approach to temporal planning and scheduling in domains with predictable exogenous events

A Gerevini, A Saetti, I Serina - Journal of Artificial Intelligence Research, 2006 - jair.org
The treatment of exogenous events in planning is practically important in many real-world
domains where the preconditions of certain plan actions are affected by such events. In this …