Dimitris Vrakas

Dimitris Vrakas is finishing his PhD in Distributed Planning and Scheduling at the Dept of Informatics of the Aristotle University of Thessaloniki. His interests also include Machine Learning, Problem Solving and Heuristic Search Algorithms. He has published several articles and presented various papers on important aspects of Automated Planning such as Learning aided Planning Systems. He has taken part in several projects such as PacoPlan, a web–based system combining Planning and Constraint Programming. He is a member of the American Association for Artificial Intelligence, the Association of Greek Informaticians and the Hellenic Society for Artificial Intelligence.

Publications

An Open-Ended Web Knowledge Retrieval Framework for the Household Domain With Explanation and Learning Through Argumentation
Alexandros Vassiliades, Nick Bassiliades, Theodore Patkos, Dimitris Vrakas. © 2022. 34 pages.
The authors present a knowledge retrieval framework for the household domain enhanced with external knowledge sources that can argue over the information that it returns and...
Artificial Intelligence for Advanced Problem Solving Techniques
Ioannis Vlahavas, Dimitris Vrakas. © 2008. 388 pages.
One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to...
Reinforcement Learning and Automated Planning: A Survey
Ioannis Partalas, Dimitris Vrakas, Ioannis Vlahavas. © 2008. 18 pages.
This article presents a detailed survey on Artificial Intelligent approaches, that combine Reinforcement Learning and Automated Planning. There is a close relationship between...
A Visual Programming Tool for Designing Planning Problems for Semantic Web Service Composition
Dimitris Vrakas, Ourania Hatzi. © 2008. 25 pages.
This chapter is concerned with the issue of knowledge representation for AI Planning problems, especially those related to Semantic Web Service composition. It discusses current...
Intelligent Techniques for Planning
Ioannis Vlahavas, Dimitris Vrakas. © 2005. 364 pages.
Intelligent Techniques for Planning presents a number of modern approaches to the area of automated planning. These approaches combine methods from classical planning such as the...
Machine Learning for Adaptive Planning
Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassiliakes, Ioannis Vlahavas. © 2005. 31 pages.
This chapter is concerned with the enhancement of planning systems using techniques from Machine Learning in order to automatically configure their planning parameters according...