Julian Togelius
- Auteur
Julian Togelius is an Associate Professor in the Dept. of Computer Science and Engineering of New York University, and a codirector of the NYU Game Innovation Lab. He was previously an Associate Professor at the Center for Computer Games Research, IT University of Copenhagen. He works on all aspects of computational intelligence and games and on selected topics in evolutionary computation and evolutionary reinforcement learning.
His current main research directions involve search-based procedural content generation, game adaptation through player modelling, automatic game design, and fair and relevant benchmarking of game AI through competitions.
His current main research directions involve search-based procedural content generation, game adaptation through player modelling, automatic game design, and fair and relevant benchmarking of game AI through competitions.
Julian Togelius is an Associate Professor in the Dept. of Computer Science and Engineering of New York University, and a codirector of the NYU Game Innovation Lab. He was previously an Associate Professor at the Center for Computer Games Research, IT University of Copenhagen. He works on all aspects of computational intelligence and games and on selected topics in evolutionary computation and evolutionary reinforcement learning.
His current main research directions involve search-based procedural content generation, game adaptation through player modelling, automatic game design, and fair and relevant benchmarking of game AI through competitions. He is the Editor-in-Chief of the IEEE Transactions on Games.
His current main research directions involve search-based procedural content generation, game adaptation through player modelling, automatic game design, and fair and relevant benchmarking of game AI through competitions. He is the Editor-in-Chief of the IEEE Transactions on Games.
Boeken van Julian Togelius
Georgios Yannakakis
Julian Togelius
Artificial Intelligence and Games
This book covers artificial intelligence methods applied to games, both in research and game development. It is aimed at graduate students, researchers, game developers, and readers with a technical background interested in the intersection of AI and games.
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Tristan Cazenave
Mark H.M. Winands
Stefan Edelkamp
Stephan Schiffel
Michael Thielscher
Julian Togelius
Computer Games
Diego Perez Liebana
Diego Pérez Liébana
Simon M. Lucas
Raluca D. Gaina
Julian Togelius
Ahmed Khalifa
Jialin Liu
General Video Game Artificial Intelligence
Cecilia Di Chio
Stefano Cagnoni
Carlos Cotta
Marc Ebner
Aniko Ekart
Anna I. Esparcia-Alcázar
Chi-Keong Goh
Juan J. Merelo
Ferrante Neri
Mike Preuss
Julian Togelius
Georgios N. Yannakakis
Applications of Evolutionary Computation
Evolutionary Computation (EC) techniques are e?cient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be used for a diverse rangeofactivitiesincludingproblemsolving,optimization,machinelearningand pattern recognition.
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