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Intelligent Systems Laboratory   Technical University of Crete 
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Intelligence Cloud Infrastructure

Lab Description

The Intelligent Systems Laboratory (InteLLigence) is a unit of the School of Electronic and Computer Engineering, Technical University of Crete, Chania, Crete, Greece.

The role of this laboratory is to educate undergraduate and graduate students in the concepts and techniques of modern Intelligent Systems and to carry out cutting-edge research in this area. Current research work spans many areas, such as Multimedia and Web information systems, Semantic Web, Machine Learning, Robotics, Bioinformatics, Computer vision, Peer-to-Peer computing and Intelligent Agents.

The laboratory is funded by the Technical University of Crete and various Greek and European funding institutions.


The Intelligent Systems Laboratory (InteLLigence) maintains long experience on information systems technology with emphasis on the management (processing, extraction, dissemination and retrieval) of multimedia information in (multimedia) databases and the Web. As such, information is not considered only from a standalone perspective; its strength lies in its potential association with other modern technologies, such as Web, Semantic Web, Content-based approaches, P2P systems and Cloud Computing. Emphasis is placed on content technologies and evolving context-aware service provision that enable information systems to fulfil the ever-evolving user interests and needs in fast-evolving and distributed environments. The InteLLigence laboratory also maintains expertise on content extraction from multimedia information through the application of natural language processing, text analysis, signal, image and video analysis and their application to content-based access services. Recent research results have led to the design of innovative tools exploiting leading-edge technology in knowledge management (e.g., tools facilitating development of spatio-temporal ontologies, spatio-temporal reasoning and querying).

In addition, the Lab possesses considerable expertise in Artificial Intelligence and Multiagent Systems – and, more specifically, in the intersections of multiagent learning, decision making under uncertainty, and game theory. Lab members have published research papers and developed software systems applying this expertise on various real-world settings, such as online games (e.g., the “Fantasy Football” online community), e-marketplaces and sponsored search settings (see, e.g., our TUCTAC Ad Auctions agent's webpage), and the energy domain. In particular, lab members have in recent years been quite active in research contributing to implementing the vision of the so-called “Smart Grid” – that is, creating robust, intelligent electricity supply & distribution networks, to achieve the highest energy efficiency possible.

Machine Learning research in the lab spans various aspects, such as clustering and classification, however emphasis is placed on reinforcement learning, whereby an autonomous agent learns how to act rationally in an unknown environment through trial and error. Finally, the lab focuses on Autonomous Robotics with an emphasis on probabilistic methods for coping with the uncertainty of the real world and on the development of efficient algorithms and software for on-board information processing. Our lab is home to the RoboCup team “Kouretes” (, which competes in the RoboCup Standard Platform League since 2006 and has won several international distinctions.

InteLLigence is constantly aiming at strengthening its expertise and, and through this, its recognition in the EU arena as a centre of excellence for research. This can be achieved through its collaboration with the EU industry and academia and as well as through its participation in high-calibre EU funded research. InteLLigence, currently participates as partner in the project “RT3S: Real Time Simulation for Safer vascular Stenting” (ICT for patient safety, FP7-STEP, project number 248801,, in the project Fi-Star: “Future Internet Social and Technological Alignment Research” (FI.ICT-2011.1.8, FP7-IP:604691, 2013-2015, of the EU, and in the project NOPTILUS: autoNomous, self-Learning, OPTImal, and compLete Underwater Systems (FP7, INFSO-ICT:270180, 2011-2015, InteLLigence has also participated in many research and R&D projects in the past, such as HIPER-BE97:5084, OPTAG-FP6-STREP:502858, BIOPATTERN (FP6-NoE:508803), in many R&D projects funded by the EU and he Greek government and has coordinated and executed successfully project TOWL: “Time-determined ontology based information system for real time stock market analysis” (FP6-STREP:026896, 2006 - 2008).

The group at InteLLigence laboratory consists of three faculty members, four post-doctoral researchers, six Ph.D. candidates, more than 15 M.Sc. students and several senior undergraduate students pursuing their diploma theses. The group members have published one graduate-level scientific textbook, and hundreds of articles in peer-reviewed, high-quality, international journals and conferences. Several articles have received best paper awards.


2015-02-07    AGT@IJCAI-2015: The first IJCAI Workshop on Algorithmic Game Theory
Assistant Professor Georgios Chalkiadakis is a co-organizer of the 1st IJCAI Workshop on Algorithmic Game Theory (@IJCAI conference, Buenos Aires, Argentina, July 2015 ).
2015-02-07    The 6th Workshop on Cooperative Games in Multiagent Systems (CoopMAS-2015)
Assistant Professor Georgios Chalkiadakis is a co-organizer of the 6th Workshop on Cooperative Games in Multiagent Systems (@AAMAS conference, Istanbul, Turkey, May 2015).
2014-10-10    Interact: Cloud Motion Sensor Services
The research project "Interact" will participate in the first phase of the FI-WARE Excellence Challenge to be held 13 to 17 October 2014 at Startup Weekend FI-WARE Canarias edition in the University of Las Palmas de Gran Canaria, Spain. "Interact", already ranks among the first 38 of the 700 projects participated and funded by FI-WARE Challenge 2014 competition in Sao Paolo, Brazil and utilizes the services of cloud computing for recognition of movements using modern motion sensors. The project is part of the research activities of Intelligent Systems Laboratory, School of Electronics and Computer Engineering, Technical University of Crete.
2014-03-18    Future Internet Assembly | Athens 2014 | Reshaping Infrastructure For Innovation
Members of the Intelligence Systems Lab are participating in the Future Internet Assembly (FIA) 2014 event in Athens in order to demonstrate work on the FI-STAR project. FIA Athens 2014 Brings Together Key European Internet Stakeholders this March in Athens to Reshape the Future Internet Infrastructure for Innovation. In FIA Athens, the team features an exhibition of the innovative Interact project and it will demonstrate to other participants by giving a hands-on experience on the latest prototype. More information could be found on the FIA ( site.
2014-02-11    16th European Agent Systems Summer School (EASSS 2014)
The 16th European Agent Systems Summer School (EASSS 2014) will be held at at the Technical University of Crete, Chania, Greece , from the 14th July to the 18th July 2014!!!!
2013-12-17    5th Workshop on Cooperative Games in Multiagent Systems
Assistant Professor Georgios Chalkiadakis is a co-organizer of the 5th Workshop on Cooperative Games in Multiagent Systems (@AAMAS conference, Paris, France, May 2014).
Jul-2015    AGT@IJCAI-2015: The First IJCAI Workshop on Algorithmic Game Theory
Buenos Aires, Argentina

Over the past fifteen years, research in theoretical computer science (TCS), artificial intelligence (AI), and microeconomics has joined forces to tackle problems involving incentives and computation. This research field, commonly named Algorithmic Game Theory (AGT), is becoming increasingly more relevant due to the prominence of the Internet as the computing platform. The Internet pairs the concepts of market and computation, thus paving the way to cross fertilization. AI, in particular, plays a double role in this new connected world. On one hand, we have intelligent algorithms working on our behalf, buying and selling physical and virtual goods at tantalizing speed, sharing sensitive and/or private user information, and in general trying to react rationally to complex incentives. On the other hand, algorithms form the infrastructure of the net, mediating the interaction of both humans and machines, and operating as mechanisms that impose incentives. Due to the invasive presence of incentives and the importance of rationality in decision making, the research in AGT is rooted in and has applications for a number of different academic disciplines. This is witnessed by the ever growing list of contributions published in classical TCS/AI venues as well as the creation of dedicated academic conferences and journals. With this workshop, we intend to bring together the rich variety of scientists that IJCAI attracts in order to have a multidisciplinary forum within which discuss and analyze current and novel challenges that the research in AGT faces. The workshop fits particularly well with the recent IJCAI Computer and Thought Awards; indeed, in the last 20 years, 6 out of the 12 winners had worked on topics in the intersection of AI and economics/AGT: specifically, Sarit Kraus (1995), Nicholas Jennings (1999), Tuomas Sandholm (2003), Peter Stone (2007), Carlos Guestrin (2009) and Vincent Conitzer (2011).
May-2015    The 6th Workshop on Cooperative Games in Multiagent Systems (CoopMAS-2015 @ AAMAS-2015)
Istanbul, Turkey

This is the sixth instantiation of this international workshop on cooperative games and multiagent systems, traditionally held as part of the AAMAS conference. The workshop is intended to focus on topics in cooperation in multi­agent systems, cooperative game theory, cooperative solution concepts, coalition formation, and applications. The use of cooperative game theory to study how agents should cooperate and collaborate, along with the related topic of coalition formation, has received growing attention from the multiagent systems, game theory, and electronic commerce communities. The focus of much of the current work in this area has been on exploring methods by which agents can form coalitions so as to solve problems of joint interest, make group decisions, and distribute gains arising from such cooperation. The domain of cooperative game theory is characterized by several unique features. First, the problem of finding good ways for agents to collaborate may require solving complex combinatorial problems, and is by itself an important research area. Second, in practice, collaborating agents are typically required to make collective decisions, coordinate and come up with joint plans. This requires designing appropriate methods for such interaction. Furthermore, in many such domains, agents are self-interested, i.e. each agent may have its own agenda or goal. Achieving stable and lasting collaboration in such environments requires careful planning. For example, gains from collaboration must be divided amongst the agents in certain ways, or the coalition would break apart. Finally, in certain such settings, agents must deal with human participants, who must be modelled properly in order to achieve good outcomes. As a consequence of the above features, solving problems in this domain requires designing sophisticated algorithms and mechanisms, bringing together state of the art methods from several fields. In many cases, to solve such problems one needs to take into account both computational and game-theoretic considerations, and occasionally also apply a heuristic approach. Cooperation is, and always has been, at the very core of multiagent systems research. Papers on cooperative games have been present in past AAMAS conferences (in sessions such as Game Theory, Coordination and Cooperation, Coalitions). One goal of the workshop is to gather together the researchers from the community to discuss current work in progress. The CoopMAS-2015 workshop will be an ideal environment to allow open discussion and facilitate interdisciplinary collaboration. We believe such an exchange of ideas between researchers from various fields, such as game theory, artificial intelligence, combinatorial optimization and knowledge representation will make it possible to advance the state of the art in this field from both theoretical and practical perspective. We hope that the workshop’s informal atmosphere will encourage the participants to offer a wide range of methods to address problems of collaboration between agents, an will allow achieving significant progress in this area.


© 2015 Intelligent Systems Laboratory, TUC