A tutorial at AAMAS 2019, May 13-17, 2019, Montreal, Canada (Location: TBA)

Modelling Planning Tasks

by Roman Barták and Lukáš Chrpa

Tutorial Description:

Research efforts in the Automated Planning community predomi- nantly focus on developing novel planning techniques and incorpo- rating and/or combining them into domain-independent planning engines that can be exploited in a wide range of real-world ap- plications (e.g., Space Exploration, Manufacturing, Urban Traffic Control). In contrast to domain-dependent approaches, where one has to develop an algorithm for solving planning problems in a specific domain, domain-independent approach provides a lot of flexibility by decoupling domain models and planning engines. For being able to exploit domain-independent planning engines, one has to develop a planning domain model which, roughly speaking, describes the environment and agent’s actions.

The proposed tutorial focuses on the audience who might make use of domain-independent Automated Planning engines in their research efforts. After attending the tutorial the attendee should get at least a basic understanding of the process of modeling planning tasks, availability of tools that can support the process, and caveats one might face during the process.

Related tutorials:

  

Tutorial Syllabus:

  • Introduction and Background
  • Planning Task Description Languages
  • Knowledge Engineering Tools for Planning
  • The ICKEPS Competition
  • Common Issues Concerning Model Efficiency
  • Development of Real-world Planning Applications
  • Issues and Open Problems

 

 

About the Authors

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 Roman Barták works as a full professor and a researcher at Charles University, Prague (Czech Republic), where he leads Constraint Satisfaction and Optimization Research Group. His research work focuses on techniques of constraint satisfaction and modeling and their application to planning, scheduling, and other areas.
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Lukáš Chrpa is an assistant professor at Artificial Intelligence Center at Czech Technical University in Prague and a part-time researcher at Charles University in Prague. His research concerns intelligent decision-making, applications of domain-independent planning, and using knowledge engineering techniques in designing and developing planning domain models.