Towards a framework for continuous planning and execution, Proc. of the AAAI Fall Symposium on Distributed Continual Planning, 1998. ,
A deliberative architecture for AUV control, 2008 IEEE International Conference on Robotics and Automation, 2008. ,
DOI : 10.1109/ROBOT.2008.4543343
Experiments with Deliberative Planning on Autonomous Underwater Vehicles, In: IROS Workshop on Robotics for Environmental Modeling, 2012. ,
INTEGRATING PLANNING, EXECUTION, AND LEARNING TO IMPROVE PLAN EXECUTION, Computational Intelligence, vol.24, issue.1, pp.1-36, 2013. ,
DOI : 10.1111/j.1467-8640.2012.00447.x
Modelling Road Traffic Incident Management Problems for Automated Planning, IFAC Proceedings Volumes, vol.45, issue.24, pp.138-143, 2012. ,
DOI : 10.3182/20120912-3-BG-2031.00075
URL : http://eprints.hud.ac.uk/14258/1/ifacconf.pdf
Enabling autonomic properties in road transport system, The 30th Workshop of the UK Planning And Scheduling Special Interest Group, 2012. ,
Using intelligent agents for pro-active, real-time urban intersection control, European Journal of Operational Research, vol.131, issue.2, pp.293-301, 2001. ,
DOI : 10.1016/S0377-2217(00)00129-6
Multiagent Learning on Traffic Lights Control, In: MultiAgent Systems for Traffic and Transportation Engineering, pp.307-322, 2009. ,
DOI : 10.4018/978-1-60566-226-8.ch015
Intelligent cooperation control of urban traffic networks, Proceedings of the International Conference on Machine Learning and Cybernetics, pp.1482-1486, 2005. ,
A Distributed Approach for Coordination of Traffic Signal Agents, Autonomous Agents and Multi-Agent Systems, vol.2, issue.6, pp.131-164, 2005. ,
DOI : 10.1007/s10458-004-6975-9
Autonomic multi-policy optimization in pervasive systems, ACM Transactions on Autonomous and Adaptive Systems, vol.7, issue.1, pp.1-25, 2012. ,
DOI : 10.1145/2168260.2168271
An approach to temporal planning and scheduling in domains with predictable exogenous events, Journal of Artificial Intelligence Research, pp.25-187, 2006. ,
Planning with problems requiring temporal coordination, Proc. 23rd AAAI Conf. on Artificial Intelligence, 2008. ,
Upmurphi: a tool for universal planning on pddl+ problems, Proc. 19th Int. Conf. on Automated Planning and Scheduling (ICAPS), pp.19-23, 2009. ,
Using the Context-Enhanced Additive Heuristic for Temporal and Numeric Planning, Proc. 19th Int. Conf. on Automated Planning and Scheduling (ICAPS, 2009. ,
DOI : 10.1007/978-3-642-25116-0_6
A planning based framework for controlling hybrid systems, Proc. Int. Conf. on Automated Planning and Scheduling (ICAPS), 2012. ,
On modeling the tactical planning of oil pipeline networks, Proc. 18th Int. Conf. on Automated Planning and Scheduling (ICAPS, 2012. ,
Anticipatory on-line planning, International Conference on Automated Planning and Scheduling, 2012. ,
Control systems: principles and design, 2008. ,
Automated Planning: Theory & Practice, 2004. ,
PDDL2.1: An extension of PDDL for expressing temporal planning domains, Journal of Artificial Intelligence Research, pp.20-61, 2003. ,
IMACS: a case study in real-world planning, IEEE Intelligent Systems, vol.13, issue.3, pp.49-60, 1998. ,
DOI : 10.1109/5254.683210
A temporal planning system for timeoptimal planning, Progress in AI, 2001. ,
Deterministic planning in the fifth international planning competition: PDDL3 and experimental evaluation of the planners, Artificial Intelligence, vol.173, issue.5-6, pp.5-6, 2009. ,
DOI : 10.1016/j.artint.2008.10.012
The FF planning system: Fast plan generation through heuristic search, Journal of Artificial Intelligence Research, pp.14-253, 2001. ,
PDDL?the planning domain definition language, 1998. ,
The First Probabilistic Track of the International Planning Competition, Journal of Artitificial Intelligence Research, pp.24-851, 2005. ,
Relational dynamic influence diagram language (RDDL): Language description, p.pdf, 2010. ,
The dawning of the autonomic computing era, 00188670 Copyright International Business Machines Corporation, pp.5-5, 2003. ,
DOI : 10.1147/sj.421.0005
Seven software engineering principles for autonomic computing development, Innovations in Systems and Software Engineering, vol.3, issue.1, pp.71-74, 2007. ,
DOI : 10.1007/s11334-006-0012-x
Plan-based policy-learning for autonomous feature tracking, Proc. of Int. Conf. on Automated Planning and Scheduling (ICAPS, 2012. ,