A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
Filters
Incremental Evolution of Complex General Behavior
1997
Adaptive Behavior
Preserved Fulltext
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
2013
Advances in Artificial Life, ECAL 2013
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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]
2006
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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?
2014
2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
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
2009
2009 IEEE Congress on Evolutionary Computation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2006
Neurocomputing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2013
Advances in Artificial Life, ECAL 2013
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2007
Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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]
2008
Frontiers in Evolutionary Robotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2009
Robotics and Autonomous Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
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
2011
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
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
2013
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
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
2006
Applied intelligence (Boston)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2012
2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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]
1998
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 139,611 results