Corrado Grappiolo

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Presentation

Corrado joined the Centre for Computer Games Research as Ph.D. student on 1st September 2010.

He received a Research Master of Science in Artificial Intelligence with a major in Gaming at Universiteit van Amsterdam, Nederlands, in 2008 with thesis "Integrating Reinforcement Learning and Distributed Perception Networks for Mobile Sensor Control". He also got a Master's Degree in Computer Science with a major in Natural Computing at University of Milano Bicocca, Italy, in 2004 with thesis "An Artificial Ant Colony Model using P-Systems: Life, Evolution and Learning". Finally, he got a Bachelor's Degree in Computer Science, still at University of Milano Bicocca, in 2002, with thesis "An Online Adventure Game using SOAP and Web Services in C# in Microsoft .NET Framework". He also got valuable experience in the video game industry (developer of Nintendo Wii and iPhone titles).

Research at ITU

His main research area at ITU regards the study of how global pattern behaviours, such as group identities and norms, arise from the local interactions of the of social agents (emergence) and how it would be possible to intervene at the global level in order to provide changes in the behaviours of the single agents at the local level (feed back).

His research covers topics of Artificial Societies, Artificial Life, Complex Adaptive Systems, Multi-Agent Systems, Multiplayer Games, Group Dynamics, Collective Behaviours, Player Profiling, Procedural Content Generation, Experience-Driven Procedural Content Generation.

Together to this, and as one of the outcomes of his research, Corrado contributes to SIREN, an EU-funded project which aims to create a multiplayer serious game for teaching conflict resolution skills to children (9-12 years of age) of different countries (England, Portugal and Greece).

Research Interests

  • Artificial Societies, Artificial Life, Complex Adaptive Systems and Self Organisation;
  • Group and Collective Behaviour, Group Dynamics, Multiplayer and Collaborative Games;
  • Multi-Agent Systems, Agent-Based Modelling and Player Profiling;
  • Unsupervised and Online Learning, Reinforcement and Competitive Learning;
  • Evolutionary Computation and Search-Based and Experience-Driven Procedural Content Generation;
  • Computational Intelligence and Machine Learning;


Publications List


Contact info

Room 3B11
IT University of Copenhagen
Rued Langgaards Vej 7,
2300 Copenhagen S

cogr (at) itu (dot) dk
+45 7218 5116