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

Kyung-Joong Kim, Sung-Bae Cho
<span title="">2006</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/khkbaqss45bgnjenoehwasx35u" style="color: black;">Applied intelligence (Boston)</a> </i> &nbsp;
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  ...  To model complex systems for agent behaviors, genetic algorithms have been used to evolve neural networks which are based on cellular automata.  ...  Figure 6 shows a procedure of incremental evolution for CA-based neural network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10489-006-0106-z">doi:10.1007/s10489-006-0106-z</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mfsksdyqz5f6jeptrg7oyeinla">fatcat:mfsksdyqz5f6jeptrg7oyeinla</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808221302/http://sclab.yonsei.ac.kr/publications/Papers/IJ/KKJ_APIN_06_DEC.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c2/b7/c2b7377ca65bbf3dbc5a2763b08bb8859af23b03.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10489-006-0106-z"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Page 1423 of Psychological Abstracts Vol. 81, Issue 3 [page]

<span title="">1994</span> <i title="American Psychological Association"> <a target="_blank" rel="noopener" href="https://archive.org/details/pub_psychological-abstracts" style="color: black;">Psychological Abstracts </a> </i> &nbsp;
Dyer © simulated the evolution of herding behavior in prey animals [each of which is controlled by a neural network architecture specified by its individual genome] “An Evolutionary Approach to Cognition  ...  © demonstrate that neural-net- work control architectures can be evolved for an accurate simulation model of a visually guided robot “An Evolved, Vision-Based Behavioral Model of Coordinated Group Motion  ... 
<span class="external-identifiers"> </span>
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Neural agents can evolve to reproduce sequences of arbitrary length

Benjamin Inden, Jürgen Jost
<span title="2013-09-02">2013</span> <i title="MIT Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3a3rcmfryvdyviiewtmf62khs4" style="color: black;">Advances in Artificial Life, ECAL 2013</a> </i> &nbsp;
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".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7551/978-0-262-31709-2-ch028">doi:10.7551/978-0-262-31709-2-ch028</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ecal/IndenJ13.html">dblp:conf/ecal/IndenJ13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iywjiostubfihiezry6s36a75y">fatcat:iywjiostubfihiezry6s36a75y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706042500/https://mitpress.mit.edu/sites/default/files/titles/content/ecal13/978-0-262-31709-2-ch028.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9c/3b/9c3b8bd57acb8ca64ae40fa040d34871b7d22a22.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7551/978-0-262-31709-2-ch028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

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

Kyung-Joong Kim, Sung-Bae Cho
<span title="">2006</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bby322qx6ndsje4ypr56c7nnly" style="color: black;">Neurocomputing</a> </i> &nbsp;
In order to overcome this shortcoming, we propose an incremental evolution method for neural networks based on cellular automata and a method of combining several evolved modules by a rule-based approach  ...  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.  ...  Acknowledgement This research was supported by Brain Science and Engineering Program sponsored by Korea Ministry of Commerce, Industry and Energy.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neucom.2005.07.013">doi:10.1016/j.neucom.2005.07.013</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ppjvoechbncnfm3o5hp5ft67r4">fatcat:ppjvoechbncnfm3o5hp5ft67r4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808101314/http://sclab.yonsei.ac.kr/publications/Papers/IJ/KKJ_NEUROCOM_2006_OCT.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cf/32/cf321ddc2f866b413ba8557c6f8cc9501f8f7ae0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neucom.2005.07.013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews [chapter]

Ajith Abraham, Crina Grosan
<span title="">2008</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oqt3yqhkxvcubnonwg57er4tdq" style="color: black;">Studies in Computational Intelligence</a> </i> &nbsp;
In this Chapter, we illustrate the various possibilities for designing intelligent systems using evolutionary algorithms and also present some of the generic evolutionary design architectures that has  ...  evolved during the last couple of decades.  ...  Kim and Cho [42] proposed an incremental evolution method for neural networks based on cellular automata and a method of combining several evolved modules by a rule-based approach.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-75396-4_1">doi:10.1007/978-3-540-75396-4_1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xplkbxzk4vbpbmnp4zxrjomj3q">fatcat:xplkbxzk4vbpbmnp4zxrjomj3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809021003/http://www.softcomputing.net/eeis.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/d6/77d6478f92b32ab26266c63bfc6f77d69eb0d8c7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-75396-4_1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks

Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oml24fsyizfuhn3rn5np75ubdi" style="color: black;">Neural Networks</a> </i> &nbsp;
Inspired by such intricate natural phenomena, Evolved Plastic Artificial Neural Networks (EPANNs) use simulated evolution in-silico to breed plastic neural networks with a large variety of dynamics, architectures  ...  The interplay of these elements leads to the emergence of adaptive behavior and intelligence.  ...  methods for adaptation, learning, and intelligent behavior.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neunet.2018.07.013">doi:10.1016/j.neunet.2018.07.013</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30142505">pmid:30142505</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gfgtbfalrbh6hnjwwj5lxj2dla">fatcat:gfgtbfalrbh6hnjwwj5lxj2dla</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200829230551/https://arxiv.org/pdf/1703.10371v2.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/69/7b/697bdf489b10288ac819c25d7c35796cb761dce7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neunet.2018.07.013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

INCREMENTAL LEARNING IN BIOLOGICAL AND MACHINE LEARNING SYSTEMS

STEPHAN K. CHALUP
<span title="">2002</span> <i title="World Scientific Pub Co Pte Lt"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ox7e5wrtdnh5zfxy275sj4n3ee" style="color: black;">International Journal of Neural Systems</a> </i> &nbsp;
A discussion of experimental results on data incremental learning with recurrent artificial neural networks reveals that incremental learning often seems to be more efficient or powerful than standard  ...  Incremental learning concepts are reviewed in machine learning and neurobiology. They are identified in evolution, neurodevelopment and learning.  ...  This project was supported by the University of Newcastle RMC ECR grant Machines Learn via Biologically Motivated Incremental Algorithms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/s0129065702001308">doi:10.1142/s0129065702001308</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/12528196">pmid:12528196</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/di7pjywjqfgzzfpp74cnhebg7u">fatcat:di7pjywjqfgzzfpp74cnhebg7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20070315193642/http://www.cs.newcastle.edu.au:80/~chalup/papers/chalupIJNS2002.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/49/d4/49d44313f34edb97b55dfadb7cbe503adccccd17.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/s0129065702001308"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> worldscientific.com </button> </a>

Incremental Communication for Adaptive Resonance Theory Networks

M. Chen, A.A. Ghorbani, V.C. Bhavsar
<span title="">2005</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/22mhkeaq5zdqlmtti5oidj26fi" style="color: black;">IEEE Transactions on Neural Networks</a> </i> &nbsp;
In this paper, the limited precision incremental communication method is applied to a class of recurrent neural networks, the adaptive resonance theory 2 (ART2) networks.  ...  Simulation studies are carried out to examine the effects of the incremental communication method on the convergence behavior of ART2 networks.  ...  INTRODUCTION T HE COMMUNICATION complexity of artificial neural networks (ANNs) is directly proportional to the number of internode connections.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnn.2004.839357">doi:10.1109/tnn.2004.839357</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/15732394">pmid:15732394</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u67cbyur3ffbtm5avrzsh27yxq">fatcat:u67cbyur3ffbtm5avrzsh27yxq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120416052358/http://glass.cs.unb.ca/ias/papers/chen-IEEE-05.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c7/78/c778891ee4ce7b9a06514bbf67ca8a75e691c748.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnn.2004.839357"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Incremental Evolution of Complex General Behavior

Faustino Gomez, Risto Miikkulainen
<span title="">1997</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gofyg7sszvgrhklhtsvngvyobu" style="color: black;">Adaptive Behavior</a> </i> &nbsp;
Several researchers have demonstrated how complex action sequences can be learned through neuro-evolution i.e. evolving neural networks with genetic algorithms.  ...  The problem is that a general strategy is too di cult for the evolution system to discover directly.  ...  Acknowledgments Special thanks to Oliver Gomez for help in preparing the illustrations. This research w as supported in part by National Science Foundation under grant IRI-9504317.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1177/105971239700500305">doi:10.1177/105971239700500305</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oyap6udc7feydjhv6qsywiojoi">fatcat:oyap6udc7feydjhv6qsywiojoi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060409013907/http://nn.cs.utexas.edu:80/downloads/papers/gomez.adaptive-behavior.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a4/cc/a4cceab215b3a07a8da407d967f5935db1878f85.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1177/105971239700500305"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> sagepub.com </button> </a>

Evolutionary Robotics: A Review

Horatiu Voicu
<span title="">2002</span> <i title="Association for the Advancement of Artificial Intelligence (AAAI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/27wksbinzzhjfow2wuy6m2iefm" style="color: black;">The AI Magazine</a> </i> &nbsp;
Like any other promising tool (for example, artificial neural networks), evolutionary techniques had their successes and downfalls in the last four decades.  ...  Chapter 6 shows that evolutionary techniques are able to build neural networks that can construct their own internal representations of the environment without the help of a designer.  ...  This technology is particularly useful for large heterogeneous distributed environments such as the Internet, intranets, mobile computing environments, and sensor networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v23i2.1648">doi:10.1609/aimag.v23i2.1648</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/journals/aim/Voicu02.html">dblp:journals/aim/Voicu02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ta3kw3o3w5cdxmrxi223ceuyki">fatcat:ta3kw3o3w5cdxmrxi223ceuyki</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201031170805/https://www.aaai.org/ojs/index.php/aimagazine/article/download/1648/1546" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bf/de/bfde5946bbfa58abc0b1abc383322c8537f4fc5f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v23i2.1648"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Incremental Robot Shaping

Joseba Urzelai, Dario Floreano, Marco Dorigo, Marco Colombetti
<span title="">1998</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hvjabg6rlbfzvikzau6kwkjaqi" style="color: black;">Connection science</a> </i> &nbsp;
This architecture can implement highly complex controllers and allows for incremental shaping of the robot behavior.  ...  We propose a modular architecture for autonomous robots which allows for the implementation of basic behavioral modules by both programming and training, and accommodates for an evolutionary development  ...  This architecture can implement highly complex controllers and allows for incremental shaping of the robot behavior.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/095400998116486">doi:10.1080/095400998116486</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e7ozgzolinhbvn23ef4atazzue">fatcat:e7ozgzolinhbvn23ef4atazzue</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20081031200552/http://infoscience.epfl.ch/record/63897/files/csd.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/87/5e/875e4c18ab6c8dd3c66aa3dc208e68724e785aaf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/095400998116486"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> tandfonline.com </button> </a>

Coevolution of Role-Based Cooperation in Multiagent Systems

C.H. Yong, R. Miikkulainen
<span title="">2009</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kglkdqfduff75jrr466lsjoe34" style="color: black;">IEEE Transactions on Autonomous Mental Development</a> </i> &nbsp;
A powerful approach is to control the agents with neural networks, coevolve them in separate subpopulations, and test them together in the common task.  ...  First, the approach is shown to be more efficient than evolving a single central controller for all agents.  ...  Gomez for suggestions on adapting ESP to multiagent systems, as well as the anonymous reviewers for suggestions on stigmergy and network size experiments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tamd.2009.2037732">doi:10.1109/tamd.2009.2037732</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gesaiklstfbxxo2wwbeptdv5xu">fatcat:gesaiklstfbxxo2wwbeptdv5xu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922224649/http://www.ece.uvic.ca/~bctill/papers/ememcog/Yong_Miikkulainen_2009.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/50/f9/50f9b4b142e057247e2c9c8d8c5498bc5f57a5a0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tamd.2009.2037732"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Hunting in an Environment Containing Obstacles: A Combinatory Study of Incremental Evolution and Co-Evolutionary Approaches [chapter]

Ioannis Mermigkis, Loukas Petrou
<span title="2008-04-01">2008</span> <i title="I-Tech Education and Publishing"> Frontiers in Evolutionary Robotics </i> &nbsp;
It has also been observed that the modular neural network architecture evolution produces more awkward behaviours for both agents.  ...  The Evolutionary algorithm (EA) adopted is a simple Genetic Algorithm (GA) applied on Neural Networks (NN) of fixed architecture.  ...  For instance, in a multi-robot system, several robots simultaneously work to achieve a common goal via interaction; their behaviors can only emerge as a result of evolution and interaction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/5466">doi:10.5772/5466</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/imhrshoinbbdbbgnq35eotmfrq">fatcat:imhrshoinbbdbbgnq35eotmfrq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728012849/https://api.intechopen.com/chapter/pdf-download/864" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/53/3d53dafa09cc85710bcb9b0150adc8f7d8ea090d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/5466"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Trends in Evolutionary Robotics [chapter]

Lisa Meeden, Deepak Kumar
<span title="">1998</span> <i title="Physica-Verlag HD"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yyucbg6w6bhgfejbzekrytd7da" style="color: black;">Studies in Fuzziness and Soft Computing</a> </i> &nbsp;
A review is given on the use of evolutionary techniques for the automatic design of adaptive robots. The focus is on methods which use neural networks and have been tested on actual physical robots.  ...  The chapter also examines the role of simulation and the use of domain knowledge in the evolutionary process. It concludes with some predictions about future directions in robotics.  ...  Arti cial Neural Networks One of the most common arti cial neural architectures is a layered, feedforward network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-7908-1882-6_9">doi:10.1007/978-3-7908-1882-6_9</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hsbsbjjm6fbhxlg37nuom6ueke">fatcat:hsbsbjjm6fbhxlg37nuom6ueke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922002157/https://www.cs.swarthmore.edu/~meeden/DevelopmentalRobotics/meeden.trends.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a5/74/a574b4e3ba4e052e02033d4fe94ea4682275daea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-7908-1882-6_9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Enabling Incremental Training with Forward Pass for Edge Devices [article]

Dana AbdulQader, Shoba Krishnan, Claudionor N. Coelho Jr
<span title="2021-03-25">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In order for the system to maintain it's accuracy, it is critical that it is able to adapt to changes and recover by retraining parts of the network.  ...  We demonstrate the ability of our technique to retrain a quantized MNIST neural network after injecting noise to the input.  ...  Fig. 4 : 4 Micro-architecture of a simple neural network using HLS4ML Fig. 5: Incremental training micro-architecture with forward pass Fig. 6 : 6 QKeras MNIST Network Fig. 7 : 7 Graph showing improved  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.14007v1">arXiv:2103.14007v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/w3ucwmad2jc2fn2nahs7rixvxq">fatcat:w3ucwmad2jc2fn2nahs7rixvxq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210331212010/https://arxiv.org/pdf/2103.14007v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6d/46/6d462cfd5b06cf84bbf4ccb72997886f2776ff18.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.14007v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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