Filters








196,089 Hits in 3.7 sec

Evolving the Game of Life [chapter]

Dimitar Kazakov, Matthew Sweet
2005 Lecture Notes in Computer Science  
This fitness function promotes the existence of areas on the verge of chaos, where life is expected to thrive.  ...  The results are reported for the case of CA in which cells are in one of four possible states.  ...  When a cell in the game board is discovered which contains life then check the surrounding unchecked cells to identify if any of those are live.  ... 
doi:10.1007/978-3-540-32274-0_9 fatcat:alum3evr4rdvln3jpo5i6juzre

Paul Rendell: Turing machine universality of the Game of Life

Moshe Sipper
2017 Genetic Programming and Evolvable Machines  
Rendell then moves on to describe a Game of Life Turing machine, which is followed by the universal Turing machine, the one built by the author from Game of Life patterns.  ...  those wondrous orchestrated movements on the screen (try it: http://pmav.eu/ stuff/javascript-game-of-life-v3.1.1/ or just Google ''Game of Life online'').  ... 
doi:10.1007/s10710-016-9284-6 fatcat:tat4a6g3fbbk7opza237d3dewa

Evolving Interesting Initial Conditions for Cellular Automata of the Game of Life Type

Manuel Alfonseca, Francisco José Soler Gil
2012 Complex Systems  
The use of a genetic algorithm to obtain "interesting" initial conditions for cellular automata of the family of Conway's Game of Life is described in this paper.  ...  Besides the original Game of Life rules, we have tested automata with similar rules, such as High-Life and B38S23, as well as mixed and time-dependent rules.  ...  The 2D CA called the Game of Life [3, 4] was designed by John Conway.  ... 
doi:10.25088/complexsystems.21.1.57 fatcat:efu7bb2ib5biririxgtiuide5i

Simulation based Hardness Evaluation of a Multi-Objective Genetic Algorithm [article]

Shahab U. Ansari, Sameen Mansha
2014 arXiv   pre-print
The algorithm is designed for a pray-predator game where a player is to improve its lifespan, challenging level and usability of the game arena through number of generations.  ...  ) is maximized with ranking, and also without ranking where dominated solutions are also allowed to evolve.  ...  These matrices are combined in a fitness function to guide the search for evolving the rules of the game. The result of their experiment shows that games can be evolved in this manner.  ... 
arXiv:1406.2613v1 fatcat:yhxdomjd45cchlkiejpq4psbfi

The semi-quantum game of life [article]

David Faux, Mayank Shah, Christopher Knapp
2019 arXiv   pre-print
The semi-quantum game of life (SQGOL) is an adaptation in which each cell is in a superposed state of both dead and alive and evolves according to modified rules.  ...  Conway's classic game of life is a two-dimensional cellular automaton in which each cell, either alive or dead, evolves according to rules based on its local environment.  ...  In summary, the semi-quantum game of life has been simulated for a 2D grid of cells providing rich and complex behaviour.  ... 
arXiv:1902.07835v1 fatcat:ocrfnjdgxfbanb3rr2syfv434a

PicoPet

Yuhang Zhao, Chao Xue, Xiang Cao, Yuanchun Shi
2011 Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology - UIST '11 Adjunct  
PicoPet creates a new form of gaming experience that is directly blended into the physical world, thus could become incorporated into the player's daily life as well as reflecting their lifestyle.  ...  The player can project the pet into physical environments, and the pet behaves and evolves differently according to the physical surroundings.  ...  Such evolvement not only provides space for development and personalization in the game, but also means that the form of the pets may reflect the lifestyle and living environments of the players themselves  ... 
doi:10.1145/2046396.2046398 dblp:conf/uist/ZhaoXCS11 fatcat:lktok7gtcngbpakbkz7566tvcu

Evolution of cartesian genetic programs capable of learning

Gul Muhammad Khan, Julian F. Miller
2009 Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09  
The novelty of the research lies mainly in two aspects: Firstly, chromosomes are evolved that encode programs rather than the network directly and when these programs are executed they build networks which  ...  We propose a new form of Cartesian Genetic Programming (CGP) that develops into a computational network capable of learning. The developed network architecture is inspired by the brain.  ...  Figure 5: Average fitness of Co-evolved player against an evolved player for five games Figure 7 : 7 Average cumulative fitness of Co-evolved player against an evolved player for five and ten games  ... 
doi:10.1145/1569901.1569999 dblp:conf/gecco/KhanM09 fatcat:6ztuzgqahjagdgpe7fnu5so7de

Breaking the Synaptic Dogma: Evolving a Neuro-inspired Developmental Network [chapter]

Gul Muhammad Khan, Julian F. Miller, David M. Halliday
2008 Lecture Notes in Computer Science  
In these models learning is seen as the process of obtaining the strengths of connections between neurons (i.e. weights). We refer to this as the 'synaptic dogma'.  ...  Our aim is to show that it is possible to evolve programs that allow a network to learn through experience (i.e. encode the ability to learn).  ...  of a well evolved agent (2000th generation) during all the games.  ... 
doi:10.1007/978-3-540-89694-4_2 fatcat:n6bbenno7zhjfbbbhtqt5djrd4

Life, death, new species and children from a "Quantum Game of Life" [article]

David Faux, Mayank Shah, Christopher Knapp
2019 arXiv   pre-print
We observe the emergence of chaos and scaling phenomena making the quantum game of life an exciting prospect for further exploration as a model for life-like behaviors.  ...  The game of life is interesting because complexity emerges from simple rules and mimics real life in that a cell flourishes only if the environment is "just right" producing a breadth of life-like behavior  ...  A process for the quantisation of Conway's classical game was proposed in 2008 by Flitney and Abbott 4 and referred to here as a quantum game of life (QGOL).  ... 
arXiv:1902.07834v1 fatcat:x5orfg37ybafrj3d5bl2iwjmx4

Life-history trade-offs favour the evolution of animal personalities

Max Wolf, G. Sander van Doorn, Olof Leimar, Franz J. Weissing
2007 Nature  
Consider the following stylized life history (Fig. 1a) . Individuals live for two years and reproduce at the end of each year.  ...  Yet, the probability of reproducing in year 1, g(x), decreases with the intensity of exploration.  ...  Pen for discussions and critical reading of the manuscript and D. Visser for preparing the figures. Author Information Reprints and permissions information is available at www.nature.com/reprints.  ... 
doi:10.1038/nature05835 pmid:17538618 fatcat:6dyodi7n35ejhmsxowjckbjoxe

Evolution of Fairness in the Not Quite Ultimatum Game

Genki Ichinose, Hiroki Sayama
2014 Scientific Reports  
The Ultimatum Game (UG) is an economic game where two players (proposer and responder) decide how to split a certain amount of money.  ...  Evolutionary simulations of NQUG showed that the probabilistic decision making contributes to the increase of proposers' offer amounts to avoid rejection, while the repetition of the game works to responders  ...  Here we show that fairness can evolve without additional information if the game is probabilistic, which we call the Not Quite Ultimatum Game (NQUG).  ... 
doi:10.1038/srep05104 pmid:24869922 pmcid:PMC4037714 fatcat:oqqh4zge7zdfplwsq7h5mwapea

Evolving neural networks

Risto Miikkulainen
2007 Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07  
-Number of available moves: force a bad move -Much more powerful, but counterintuitive Discovered Network sees the board, suggests moves by ranking 43 • Networks maximize piece counts throughout the game  ...  • Gaming Issues: • Evolving composite decision makers 77 • Evolving teams of agents 6,63,84 • Utilizing coevolution 54,66 • Real-time neuroevolution 63 • Combining human knowledge with evolution  ... 
doi:10.1145/1274000.1274119 dblp:conf/gecco/Miikkulainen07 fatcat:4zyvbu3dxjb4hjqqicvwwzvjna

Developing neural structure of two agents that play checkers using cartesian genetic programming

Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
2008 Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation - GECCO '08  
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes.  ...  Two agents are provided with this network and allowed to co-evolve untill they start playing better.  ...  Thus one would expect well evolved agent to play much better than earlier ones. To test whether more evolved agents were indeed playing the game better, we did a number of experiments.  ... 
doi:10.1145/1388969.1389042 dblp:conf/gecco/KhanMH08 fatcat:fcmkdu4dpvdgbe3sfusmujtthe

Past and Future Challenges in Creating Emotionally-Engaging Real-Time Digital Actors in Videogames [chapter]

Casey Hudson
2009 Lecture Notes in Computer Science  
These emotional connections are often powered by the quality of the digital actors that inhabit game worlds and bring them to life.  ...  But as technologies for creating lifelike characters escalate, so do the challenges of the creation process.  ...  These emotional connections are often powered by the quality of the digital actors that inhabit game worlds and bring them to life.  ... 
doi:10.1007/978-3-642-04380-2_3 fatcat:ifjmp774qzco5csaotq2jjioom
« Previous Showing results 1 — 15 out of 196,089 results