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Latest news:

16 September 2015:
Agenda and Detailed Program inserted. Check the new page.

30 March 2015:
Paper submission deadline extended, check the new dates.

9 March 2015:
Information about the submission process and the Easychair link.

2 February 2015:
Information updated about the WSRL 2015.

2 February 2015:
Invited speakers information updated - title and abstract.

28 January 2015:
Energetic Sustainable Ambient Intelligent (ESAmI 2015).

28 January 2015:
Special Session and Workshops page updated.

27 January 2015:
2nd Workshop on Cyber Security and Resilience of Large-Scale Systems (WSRL 2015)

27 January 2015:
International Workshop on Future Internet and Smart Networks, FI&SN'2015

27 January 2015:
Seventh International Workshop on Multi-Agent Systems Technology and Semantics (MASTS 2015)

27 January 2015:
Special Session and Workshops page updated.

12 January 2015:
Special Issues: Soft Computing Journal (JCR Impact Factor: 1.304).

12 January 2015:
Special Issues page updated.

9 January 2015:
Invited speakers: Amílcar Cardoso(University of Coimbra, Portugal) and Vincenzo Loia (University of Salermo, Italy).

9 January 2015:
Invited speakers page updated.

29 September 2014:
IDC'2015 symposium Web site was launched.

Invited Speakers


Amílcar Cardoso University of Coimbra, Portugal
Computational Creativity: distributed approaches

Abstract

Computational Creativity is an emerging field that studies and exploits the potential of computers to be more interventive and autonomous in creative processes. In this lecture, we will introduce some basic concepts and terminology of the area, discuss specific computational techniques that have been applied in the implementation of creative systems, focusing in special on distributed approaches. Several examples of concrete creative systems will be presented, focusing especially in applications to the Music and the Arts, paying especial attention to those using distributed techniques.


About Amílcar Cardoso

Prof. F. Amílcar Cardoso is a Full Professor at the Department of Informatics Engineering of the University of Coimbra, where he teaches Artificial Intelligence, Multi-Agent Systems, Computational Creativity and other topics. He developed pioneering work on Computational Creativity in the 90’s, and assumed since then an active role in the area. He currently coordinates the Cognitive and Media Systems Group of CISUC, a team with 17 PhDs that performs research on Artificial Intelligence, Media Systems, Pervasive Systems and ICT for Education. He is currently involved in two EU projects on Computational Creativity: the FET CA PROSECCO (Promoting the Scientific Exploration of Computational Creativity) and the FET/ICT ConCreTe (Concept Creation Technology).



Vincenzo Loia University of Salerno, Italy
On Humans and Sensor Awareness for Decision Support Systems: approaches, architectures and application domains

Abstract

Situation Awareness (SA) concerns all things happening around us and is typically associated to what is critical with respect to our interest. For instance, an airplane pilot does not need to be aware of everything around him but only the information required for driving correctly and safely. Endsley provided a more formal definition that considers Situation Awareness as a three-phase process: perception of the elements of an environment in a given time interval, comprehension of the aforementioned elements and projection of their states into the next future. More in details, from a computational viewpoint, SA aims at formalizing and deducing situations (occurring in the real world) by processing, fusing and abstracting context information. We proposed the Perception-Oriented Approach to identify situations. Such approach is based on two phases: low-level perception and high-level perception. The low-level perception is realized by means of Semantic Technologies and allows to generate more abstract information from raw sensor data by also considering knowledge about the environment. Sensor Middleware like Global Sensor Network (GSN), Linked Sensor Middleware (LSM), OpenIoT and Semantic Web Ontologies like W3C SSNO have been employed to support gathering and processing of sensor data. At this level, we proposed approaches to assess the reliability, and other quality dimensions, of sensor data (observations). In particular, we introduced an approach to exploit a fuzzy-based consensus model to handle cases in which redundant sensors provide discordant observations.Moreover, high-level perception is realized by means of techniques like, for instance, Fuzzy Formal Concept Analysis, Fuzzy Cognitive Maps, etc. and allows to organize and classify abstract and actionable information to support the work of DSSs. At this level, we proposed a nature-inspired approaches, based on Artificial Bees, for mining association rules used to foster the resilience of the situation identification algorithms and the adoption of Semantic Web technologies, like SAW Ontology, to model situations and Semantic Inference Engine (OWL-based and Rule-based) to reason on them.We proposed application of the framework in heterogeneous scenarios: seamless learning, interactive marketing, etc. In particular, with respect to seamless learning the objective is to increase the awareness of learners in order to sustain their capabilities to self-regulate their learning processes (composed by both formal and informal activities). The approach we have defined is able to identify learning path types by exploiting the metaphor of bubbles, which represent sets of concepts already acquired by learners. It is possible to identify the situations in which learners are involved by taking into account the way in which such bubbles arise, grow and join together.


About Vincenzo Loia

Vincenzo Loia received the PhD in Computer Science from the University of Paris VI, France in 1989, and the bachelor degree in Computer Science from the University of Salerno in 1984. From 1989 he is Faculty member at the University of Salerno where he teaches Multi Agent-based Systems and Neural Systems & Knowledge Discovery. His current position is as Full Professor and Chair of Computer Science Department at University of Salerno.He was principal investigator in a number of industrial R&D projects and in academic research projects. He is author of over 300 original research papers in international journals, book chapters, and in international conference proceedings. He edited four research books around agent technology, Internet, and soft computing methodologies. He is Co-Editor in Chief of Soft Computing, and Editor in Chief of Ambient Intelligence and Humanized Computing, both published from Springer-Verlag. He serves as Associate Editor in several international Journals, among them IEEE Transaction on Industrial Informatics and IEEE Transaction on Systems, Men, Cybernetics. He hold in the last years several role in IEEE Society in particular for Computational Intelligence Society (Chair of Emergent Technologies Technical Committee, IEEE CIS European Representative, Vice-Chair of Intelligent Systems Applications Technical Committee). His current research interests focus on hybrid approach to design technologically complex environments, with particular interest in Web Intelligence applications and Situation Awareness.

Francisco Fernandez de Vega University of Extremadura, Spain
Implicitly Parallel Evolutionary Algorithms Models

Abstract

Although parallel versions of evolutionary algorithms have been considered and discussed for several decades, most applications still relies on sequential versions of these algorithms. Moreover, the implicit nature of evolutionary algorithms has not been properly understood and applied until recently, when heterogeneous infrastructures have been employed (including grids, clouds and volunteer computing systems) and new models of distributed Evolutionary Algorithms have been required to be run on inherently unreliable hardware resources. In this lecture we will review the evolution of these parallel and distributed models, and how they can face hard problems efficiently.


About Francisco Fernandez de Vega

Prof Francisco Fernandez de Vega is Associate Professor at the University of Extremadura. He received his BS from the University of Seville 1993, MS from the University of Seville 1997, and Ph. D from the University of Extremadura 2001 (best PhD award 2002). His research interests include Parallel and Distributed Evolutionary Algorithms and their applications to multiple aspects of art and design. He's associate editor of Artificial Intelligence communications, and He's been guest editor with Soft Computing, Parallel Computing, Journal of Parallel and Distributed, Natural Computing and edited the books Parallel and Distributed Computational Intelligence and Parallel Architectures and Bioinspired Algorithms, with Springer. He has published more than 200 referred papers in Conferences and Journals. He is co-chair of the Task Force on Creative Intelligence, IEEE Computational Intelligence Society, and co-chair of EvoPar, part of EvoApplications, the European conference on applications of evolutionary algorithms. His work was recently awarded with the 2013 ACM GECCO Art, Design and Creativity Competition.