Human-Like AI in Games

Title:	Human-Like AI in Games	Image:UT2004.png
Description:	Developing a human-like AI is a challenging and fascinating problem from the point of view of the Artificial Intelligence research. At the same time, it is also a significative prolem for the computer games development: playing against humans is generally more exciting than playing against computers. Our projects and theses on this topic involve two different games: Unreal Tournament 2004 and TORCS. Please contact us for additional information. References Drivatar in Forza Motorsport (http://research.microsoft.com/en-us/projects/drivatar/default.aspx) TORCS (http://torcs.sourceforge.net/ TORCS) Botprize (http://botprize.org/) Daniele Loiacono's AI&R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)
Tutor:	DanieleLoiacono (loiacono@elet.polimi.it)
Start:	2009/10/01
Students:	1 - 2
CFU:	5 - 20
Research Area:	warning.png"Computational Intelligence and Games;" is not in the list of possible values (Affective Computing, Agents - Multiagent Systems - Agencies, BioSignal Analysis, Computational Intelligence and Games, Computer Vision and Image Analysis, E-Science, Machine Learning, Philosophy of Artificial Intelligence, Robotics, Social Software and Semantic Web) for this property.Computational Intelligence and Games;
Research Topic:
Level:	Bs, Ms
Type:	Course, Thesis
Status:	Proposalwarning.png"Proposal" is not in the list of possible values (Active, Closed) for this property.