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Incremental Evolution of Complex General Behavior

Faustino Gomez, Risto Miikkulainen
1997 Adaptive Behavior  
This paper proposes an approach where such complex general behavior is learned incrementally, b y starting with simpler behavior and gradually making the task more challenging and general.  ...  The incremental approach e v olves more e ective and more general behavior, and should also scale up to harder tasks.  ...  This paper presents a method for evolving complex general behavior incrementally.  ... 
doi:10.1177/105971239700500305 fatcat:oyap6udc7feydjhv6qsywiojoi

Evolution of Incremental Complex Behavior on Cellular Machines

Stefano Nichele, Gunnar Tufte
2013 Advances in Artificial Life, ECAL 2013  
We show that an incremental methodology could be better suited to help evolution to discover complex emergent behaviors.  ...  We show that the incremental approach is promising when evolution targets an increase of complexity.  ...  In our incremental evolutionary approach, the evolution process tackles the problem of targeting complexity incrementally.  ... 
doi:10.7551/978-0-262-31709-2-ch011 dblp:conf/ecal/NicheleT13 fatcat:r7tcqemszbfwxbzeliwunhaazu

Incremental Evolution of Robot Controllers for a Highly Integrated Task [chapter]

Anders Lyhne Christensen, Marco Dorigo
2006 Lecture Notes in Computer Science  
We experiment with two approaches to incremental evolution, namely behavioral decomposition and environmental complexity increase.  ...  In this paper we apply incremental evolution for automatic synthesis of neural network controllers for a group of physically connected mobile robots called s-bots.  ...  Marco Dorigo acknowledges support from the Belgian FNRS, of which he is a Research Director.  ... 
doi:10.1007/11840541_39 fatcat:uxm4dadcfbcx7ooq5fgqnxvwji

Embodied artificial life at an impasse can evolutionary robotics methods be scaled?

Andrew L. Nelson
2014 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS)  
But can proof-of-concept results such as these be extended to evolve complex autonomous behaviors in a general sense?  ...  However, arguments used to support the necessity of incremental methods for complex tasks are essentially sound.  ...  in some sense to drive the evolution of this relatively complex behavior.  ... 
doi:10.1109/eals.2014.7009500 dblp:conf/eals/Nelson14 fatcat:5npzlqz6jndapf57e7ogyxinjq

Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity

Jean-Baptiste Mouret, Stephane Doncieux
2009 2009 IEEE Congress on Evolutionary Computation  
This approach has been successfully tested and compared to a recently published incremental evolution method (multisubgoal evolution) on the evolution of a neuro-controller for a light-seeking mobile robot  ...  The bootstrap problem is often recognized as one of the main challenges of evolutionary robotics: if all individuals from the first randomly generated population perform equally poorly, the evolutionary  ...  the most complex composite tasks explored with incremental evolution at this time.  ... 
doi:10.1109/cec.2009.4983077 dblp:conf/cec/MouretD09 fatcat:htuygdtfrrh5hof5okx2cyxhou

Evolved neural networks based on cellular automata for sensory-motor controller

Kyung-Joong Kim, Sung-Bae Cho
2006 Neurocomputing  
Simulation results show the potential of the incremental evolution and multi-module integration methods as sophisticated techniques to make the evolved neural network to do complex behaviors.  ...  The incremental evolution method evolves the neural network by starting with simple environment and gradually making it more complex.  ...  Acknowledgement This research was supported by Brain Science and Engineering Program sponsored by Korea Ministry of Commerce, Industry and Energy.  ... 
doi:10.1016/j.neucom.2005.07.013 fatcat:ppjvoechbncnfm3o5hp5ft67r4

Neural agents can evolve to reproduce sequences of arbitrary length

Benjamin Inden, Jürgen Jost
2013 Advances in Artificial Life, ECAL 2013  
to the neural network are provided in an incremental fashion during evolution.  ...  We demonstrate that neural agents can evolve behavioral sequences of arbitrary length.  ...  Additional funding for the project "Coevolutionary complexification of autonomous agents" was supplied by Bielefeld University within the programme "Bielefelder Nachwuchsfonds".  ... 
doi:10.7551/978-0-262-31709-2-ch028 dblp:conf/ecal/IndenJ13 fatcat:iywjiostubfihiezry6s36a75y

Strengths and weaknesses of FSA representation

Pavel Petrovic
2007 Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07  
Incremental Evolution provides a possible scenario for improving the evolvability. Our hypothesis is that the FSA representation is suitable for incremental construction of the controller.  ...  Evolutionary roboticists often conclude that simple evolutionary run is not sufficient for evolving complex behaviors.  ...  Evolutionary roboticists often conclude that simple evolutionary run is not sufficient for evolving complex behaviors.  ... 
doi:10.1145/1276958.1277107 dblp:conf/gecco/Petrovic07 fatcat:r4ylp7cxxrbfhg3hdxry34vrqu

Evolving Behavior Coordination for Mobile Robots Using Distributed Finite-State Automata [chapter]

Pavel Petrovic
2008 Frontiers in Evolutionary Robotics  
behaviors the controllers may produce, and achieve modularity required in more complex tasks.  ...  coordination mechanisms of a set of pre-programmed (pre-evolved) behaviors.  ...  interactions, and behaviors, and thus is suitable for incremental evolution.  ... 
doi:10.5772/5467 fatcat:7hmgxgyrevfb7d4vsmbjesep5y

Fitness functions in evolutionary robotics: A survey and analysis

Andrew L. Nelson, Gregory J. Barlow, Lefteris Doitsidis
2009 Robotics and Autonomous Systems  
Evolutionary robotics is a field of research that applies artificial evolution to generate control systems for autonomous robots.  ...  ER is one of a host of machine learning methods that rely on interaction with, and feedback from, a complex dynamic environment to drive synthesis of controllers for autonomous agents.  ...  That research showed that Environmental incremental evolution can produce robot controllers capable of expressing complex behaviors.  ... 
doi:10.1016/j.robot.2008.09.009 fatcat:k3zcb3536jcw5gc5mmknu2xrj4

Ion channel modeling with analog circuit evolution

Theodore W. Cornforth, Jim Torresen, Hod Lipson
2011 Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11  
Here we use analog circuit evolution, a reverse engineering technique designed to search through analog circuit space, to automatically design circuit models of ion channel behavior.  ...  Results comparing several different multiobjective and coevolutionary techniques demonstrate the importance of evaluating the fitness of evolved circuits under multiple behavioral conditions.  ...  As we scale the problem to encompass the fully automated design of complex neuromorphic circuits used in biomedical applications, understanding the advantages and disadvantages of the incremental vs.  ... 
doi:10.1145/2001858.2001878 dblp:conf/gecco/CornforthTL11 fatcat:4qtntjimmjddrlnqcz6weqajha

A Case Study of the De Novo Evolution of a Complex Odometric Behavior in Digital Organisms

Laura M. Grabowski, David M. Bryson, Fred C. Dyer, Robert T. Pennock, Charles Ofria, Paul Graham
2013 PLoS ONE  
Investigating the evolution of animal behavior is difficult.  ...  Citation: Grabowski LM, Bryson DM, Dyer FC, Pennock RT, Ofria C (2013) A Case Study of the De Novo Evolution of a Complex Odometric Behavior in Digital Organisms. PLoS ONE 8(4): e60466.  ...  Acknowledgments We would like to thank Philip McKinley, Wesley Elsberry, Jeff Clune, Michael Vo, Erica Rettig, and other members of the MSU Digital Evolution Laboratory for valuable observations and dialogue  ... 
doi:10.1371/journal.pone.0060466 pmid:23577113 pmcid:PMC3620120 fatcat:7saeza6d2rh3vbulw6ixvgmvuu

A unified architecture for agent behaviors with selection of evolved neural network modules

Kyung-Joong Kim, Sung-Bae Cho
2006 Applied intelligence (Boston)  
In this paper, an architecture based on cellular automata, neural networks, evolutionary algorithms, incremental evolution and a behavior selection mechanism is proposed to generate high-level behaviors  ...  A more promising solution is to employ incremental evolution that reuses the solutions of easy tasks and applies these solutions to more difficult ones.  ...  It is expected to produce complex and general behaviors.  ... 
doi:10.1007/s10489-006-0106-z fatcat:mfsksdyqz5f6jeptrg7oyeinla

Hierarchical evolution of robotic controllers for complex tasks

Miguel Duarte, Sancho Oliveira, Anders Lyhne Christensen
2012 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)  
We demonstrate how a controller can be evolved for a complex task through hierarchical evolution of behaviors.  ...  Evolution is one of the most radical and open-ended forms of learning, but it has proven difficult for tasks where complex behavior is necessary (know as the bootstrapping problem).  ...  Several different incremental approaches have been studied as a means to overcome the bootstrapping problem and to enable the evolution of behaviors for complex tasks.  ... 
doi:10.1109/devlrn.2012.6400828 dblp:conf/icdl-epirob/DuarteOC12 fatcat:qu76oi3mizehnie422avoogvma

Hardware solutions for evolutionary robotics [chapter]

Dario Floreano, Francesco Mondada
1998 Lecture Notes in Computer Science  
The issues discussed include the integration of simulation and real robots, design issues of evolvable robots, hardware requirements for incremental evolution, and hardware and software tools for monitoring  ...  Capitalizing on these principles, we shall also discuss hardware solutions which can support incremental evolution, namely modularity and cross-platform compatibility.  ...  Khepera and Koala are trademarks of K-Team SA.  ... 
doi:10.1007/3-540-64957-3_69 fatcat:jxrfotw7s5dqthj2gzunifmt7e
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