Exploring the Visual Styles of Arcade Game Assets Antonios Liapis Institute of Digital Games, University of Malta, Msida, Malta Abstract. This paper describes a method for evolving assets for video games based on their v

Source URL: antoniosliapis.com

• Mathematical optimization
• Cybernetics
• Applied mathematics
• Systems science
• Operations research
• Academia
• Spaceship
• Penalty method
• Constraint
• Genetic algorithm
• Evolutionary algorithm
• Fitness landscape

Copyright Ó 2009 by the Genetics Society of America DOI: geneticsThe Genetic Basis of Phenotypic Adaptation II: The Distribution of Adaptive Substitutions in the Moving Optimum Model Michael Kopp1 an

Source URL: www.mabs.at

• Evolutionary biology
• Natural selection
• Mutation rate
• Weak Selection
• Mutation
• Genetic drift
• Fitness landscape
• Evolution
• Polymorphism
• Fixation
• Adaptation

Landscape Automata for Search Based Procedural Content Generation. Daniel Ashlock and Cameron McGuinness Abstract—This study introduces a new representation landscape automata for encoding heightmaps that may be used f

Source URL: eldar.mathstat.uoguelph.ca

• Cybernetics
• Mathematical optimization
• Genetic algorithms
• Heightmap
• Procedural generation
• Scenery generator
• Evolutionary algorithm
• Cellular automaton
• Fitness landscape
• Fitness function
• Genetic programming
• Finite-state machine

Disrupting Terrorist Networks – A Dynamic Fitness Landscape Approach Philip V. Fellman, School of Business Southern New Hampshire University Jonathan P. Clemens,

Source URL: necsi.edu

• Graph theory
• Mathematics
• Algebraic graph theory
• Discrete mathematics
• Networks
• Network theory
• Pankaj Ghemawat
• Network analysis
• Fitness landscape
• Adjacency matrix
• Matrix
• Centrality

Fitness landscape for nucleosome positioning Donate Weghorn and Michael Lässig1 Institute for Theoretical Physics, University of Cologne, 50937 Cologne, Germany Edited by José N. Onuchic, Rice University, Houston, TX,

Source URL: www.thp.uni-koeln.de

Nonlinear Fitness Landscape of a Molecular Pathway Supplementary Material Lilia Perfeito,1, 2, ∗ St´ephane Ghozzi,2 Johannes Berg,2 Karin Schnetz,1 and Michael L¨assig2, † 1 2

Source URL: www.thp.uni-koeln.de

Assessing efficiency of different evolutionary strategies playing MasterMind Juan J. Merelo, Antonio M. Mora, Thomas P. Runarsson and Carlos Cotta Abstract— A MasterMind player must find out a secret combination (set b

Source URL: game.itu.dk

• Cybernetics
• Search algorithms
• Applied mathematics
• Mathematical optimization
• Evolution
• Gaming
• Mathematics
• Mastermind
• Genetic algorithm
• Algorithm
• Evolutionary computation
• Fitness landscape

Nonlinear Fitness Landscape of a Molecular Pathway Lilia Perfeito1,2*, Ste´phane Ghozzi2, Johannes Berg2, Karin Schnetz1, Michael La¨ssig2* 1 Institut fu¨r Genetik, Universita¨t zu Ko¨ln, Cologne, Germany, 2 Institu

Source URL: www.thp.uni-koeln.de

ABSTRACTS Monday, Sept. 26: Arjan de Visser: Experimental explorations of empirical fitness landscapes The pathway and outcome of evolution is determined by two general factors: the structure of the fitness landscape an

Source URL: www.genetik.uni-koeln.de

• Biology
• Evolutionary biology
• Genetics
• Mutation
• Selection
• Sexual selection
• Population genetics
• Epistasis
• Neutral mutation
• Selective sweep
• Natural selection
• Evolution of sexual reproduction

Online Evolution in Unreal Tournament 2004 Matthew Patrick, Student Member, IEEE Abstract— Traditional approaches to game AI often feature behaviour that is scripted and predictable. Previous attempts at adaptive AI ha

Source URL: game.itu.dk

• Evolutionary algorithms
• Evolution
• Cybernetics
• Mathematical optimization
• Scientific modeling
• Genetic algorithm
• Evolutionary computation
• Fitness landscape
• Evolution strategy
• Multi-agent system
• Agent-based model
• Reinforcement learning