{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T19:10:13Z","timestamp":1710097813982},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2009,2,6]],"date-time":"2009-02-06T00:00:00Z","timestamp":1233878400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Evol. Intel."],"published-print":{"date-parts":[[2009,3]]},"DOI":"10.1007\/s12065-009-0017-0","type":"journal-article","created":{"date-parts":[[2009,2,18]],"date-time":"2009-02-18T10:56:35Z","timestamp":1234954595000},"page":"233-251","source":"Crossref","is-referenced-by-count":5,"title":["Evolution of internal dynamics for neural network nodes"],"prefix":"10.1007","volume":"1","author":[{"given":"David","family":"Montana","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"VanWyk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marshall","family":"Brinn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joshua","family":"Montana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen","family":"Milligan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2009,2,6]]},"reference":[{"key":"17_CR1","unstructured":"Aberdeen D (2003) A (revised) survey of approximate methods for solving partially observable markov decision processes. Technical report, National ICT Australia, Canberra"},{"key":"17_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0925-2312(03)00369-2","volume":"56","author":"A Abraham","year":"2004","unstructured":"Abraham A (2004) Meta learning evolutionary artificial neural networks. Neurocomputing 56:1\u201338","journal-title":"Neurocomputing"},{"issue":"6","key":"17_CR3","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/0375-9601(90)90136-C","volume":"144","author":"K Aihara","year":"1990","unstructured":"Aihara K, Takabe T, Toyoda M (1990) Chaotic neural networks. Phys Lett A 144(6):333\u2013340","journal-title":"Phys Lett A"},{"issue":"3","key":"17_CR4","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1162\/106454600568834","volume":"6","author":"J Astor","year":"2000","unstructured":"Astor J, Adami C (2000) A developmental model for the evolution of artificial neural networks. Artif Life 6(3):189\u2013218","journal-title":"Artif Life"},{"key":"17_CR5","unstructured":"Asuncion A, Newman D (2007) UCI machine learning repository. http:\/\/www.ics.uci.edu\/\u223cmlearn\/MLRepository.html"},{"key":"17_CR6","unstructured":"Bakker B, Zhumatiy V, Gruener G, Schmidhuber J (2003) A robot that reinforcement-learns to identify and memorize important previous observations. In: Proceedings of the IEEE\/RSJ international conference on intelligent robots and systems (IROS2003), pp 430\u2013435"},{"key":"17_CR7","volume-title":"Complex systems","author":"J Baxter","year":"1992","unstructured":"Baxter J (1992) The evolution of learning algorithms for artificial neural networks. In: Green D, Bossomaier T (eds) Complex systems. IOS Press, Amsterdam"},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"Blynel J, Floreano D (2003) Exploring the t-maze: evolving learning-like robot behaviors using ctrnns. In: Proceedings of the second European workshop on evolutionary robotics, pp 593\u2013604","DOI":"10.1007\/3-540-36605-9_54"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Bongard J (2002) Evolving modular genetic regulatory networks. In: Proceedings of the 2002 congress on evolutionary computation, pp 1872\u20131877","DOI":"10.1109\/CEC.2002.1004528"},{"key":"17_CR10","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1088\/0954-898X_5_4_005","volume":"5","author":"A Cangelosi","year":"1994","unstructured":"Cangelosi A, Parisi D, Nolfi S (1994) Cell division and migration in a \u2019genotype\u2019 for neural networks. Network 5:497\u2013515","journal-title":"Network"},{"key":"17_CR11","unstructured":"Chalmers D (1990) The evolution of learning: an experiment in genetic connectionism. In: Proceedings of the 1990 Connectionist Models Summer School, pp 81\u201390"},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Dellaert F, Beer R (1996) A developmental model for the evolution of complete autonomous agents. In: Proceedings of the fourth international conference on simulation of adaptive behavior, pp 393\u2013401","DOI":"10.7551\/mitpress\/3118.003.0048"},{"key":"17_CR13","unstructured":"D\u2019Silva TRJ, Chrien M, Stanley K, Miikkulainen R (2005). Retaining learned behavior during real-time neuroevolution. In: Proceedings of the artificial intelligence and interactive digital entertainment conference (AIIDE)"},{"key":"17_CR14","unstructured":"Eggenberger-Hotz P, Gomez G, Pfeifer R (2002) Evolving the morphology of a neural network for controlling a foveating retina and its test on a real robot. In: Proceedings of the eighth international workshop on the synthesis and simulation of living systems (Artificial Life VIII), pp 243\u2013251"},{"issue":"1","key":"17_CR15","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/s12065-007-0002-4","volume":"1","author":"D Floreano","year":"2008","unstructured":"Floreano D, Durr P, Mattiussi C (2008) Neuroevolution: from architectures to learning. Evol Intell 1(1):47\u201362","journal-title":"Evol Intell"},{"key":"17_CR16","volume-title":"Evolutionary robotics: from intelligent robotics to artificial life","author":"D Floreano","year":"2001","unstructured":"Floreano D, Mattiussi C (2001) Evolution of spiking neural controllers for autonomous vision-based robots. In: Gomi T (ed) Evolutionary robotics: from intelligent robotics to artificial life. Springer, Tokyo"},{"issue":"6","key":"17_CR17","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1016\/S0893-6080(05)80125-X","volume":"6","author":"K Funahashi","year":"1993","unstructured":"Funahashi K, Nakamura Y (1993) Approximation of dynamical systems by continuous time recurrent neural networks. Neural Netw 6(6):801\u2013806","journal-title":"Neural Netw"},{"issue":"6","key":"17_CR18","doi-asserted-by":"crossref","first-page":"1333","DOI":"10.1109\/72.963769","volume":"12","author":"F Gers","year":"2001","unstructured":"Gers F, Schmidhuber J (2001) Lstm recurrent networks learn simple context free and context sensitive languages. IEEE Trans Neural Netw 12(6):1333\u20131340","journal-title":"IEEE Trans Neural Netw"},{"key":"17_CR19","doi-asserted-by":"crossref","unstructured":"Gerstner W, Kistler W (2002) Spiking neuron models: single neurons, populations, plasticity. Cambridge University Press, Cambridge","DOI":"10.1017\/CBO9780511815706"},{"key":"17_CR20","unstructured":"Gomez F, Miikkulainen R (1999) Solving non-markovian control tasks with neuroevolution. In: Proceedings of the international joint conference on artificial intelligence, pp 1356\u20131361"},{"key":"17_CR21","doi-asserted-by":"crossref","unstructured":"Gomez F, Schmidhuber J (2005) Co-evolving recurrent neurons learn deep memory POMDPs. In: Proceedings of the genetic and evolutionary computation conference (GECCO)","DOI":"10.1145\/1068009.1068092"},{"issue":"2","key":"17_CR22","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1177\/105971239400300202","volume":"3","author":"F Gruau","year":"1995","unstructured":"Gruau F (1995) Automatic definition of modular neural networks. Adapt Behav 3(2):151\u2013183","journal-title":"Adapt Behav"},{"key":"17_CR23","unstructured":"Harp S, Samad T, Guha A (1989) Towards the genetic synthesis of neural networks. In: Proceedings of the third international conference on genetic algorithms, pp 360\u2013369"},{"key":"17_CR24","unstructured":"Haykin S (1999) Neural networks: a comprehensive foundation. Prentice-Hall, Englewood Cliffs"},{"issue":"8","key":"17_CR25","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput 9(8):1735\u20131780","journal-title":"Neural Comput"},{"key":"17_CR26","unstructured":"Hussain T (2004) Generic neural markup language: facilitating the design of theoretical neural network models. In: Proceedings of the IEEE international joint conference on neural networks, pp 235\u2013242"},{"key":"17_CR27","doi-asserted-by":"crossref","unstructured":"Ichinose N, Aihara K, Kotani M (1993) An analysis on dynamics of pulse propagation networks. In: Proceedings of the international joint conference on neural networks, pp 2315\u20132318","DOI":"10.1109\/IJCNN.1993.714188"},{"issue":"5","key":"17_CR28","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1109\/TNN.2004.832719","volume":"15","author":"E Izhikevich","year":"2004","unstructured":"Izhikevich E (2004) Which model to use for cortical spiking neurons?. IEEE Trans Neural Netw 15(5):1063\u20131070","journal-title":"IEEE Trans Neural Netw"},{"key":"17_CR29","unstructured":"Jakobi N (1995) Harnessing morphogenesis. In: International conference on information processing in cells and tissues, pp 29\u201341"},{"issue":"2","key":"17_CR30","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1177\/105971239700600205","volume":"6","author":"N Jakobi","year":"1998","unstructured":"Jakobi N (1998) Evolutionary robotics and the radical envelope-of-noise hypothesis. Adapt Behav 6(2):325\u2013368","journal-title":"Adapt Behav"},{"key":"17_CR31","first-page":"461","volume":"4","author":"H Kitano","year":"1990","unstructured":"Kitano H (1990) Designing neural networks using genetic algorithms with graph generation system. Complex Syst 4:461\u2013476","journal-title":"Complex Syst"},{"key":"17_CR32","first-page":"461","volume-title":"Computational embryology: past, present and future","author":"S Kumar","year":"2003","unstructured":"Kumar S, Bentley P (2003) Computational embryology: past, present and future. Springer, New York, pp 461\u2013477"},{"key":"17_CR33","unstructured":"Luke S (2002) An evolutionary computation and genetic programming system. http:\/\/cs.gmu.edu\/eclab\/projects\/ecj\/docs\/"},{"key":"17_CR34","doi-asserted-by":"crossref","unstructured":"McCallum A (1993) Overcoming incomplete perception with utile distinction memory. In: International conference on machine learning, pp 190\u2013196","DOI":"10.1016\/B978-1-55860-307-3.50031-9"},{"key":"17_CR35","unstructured":"Montana D, Davis L (1989) Training feedforward neural networks using genetic algorithms. In: Proceedings of the international joint conference on artificial intelligence (IJCAI), pp 762\u2013767"},{"key":"17_CR36","doi-asserted-by":"crossref","unstructured":"Montana D, VanWyk E, Brinn M, Montana J, Milligan S (2006) Genomic computing networks learn complex POMDPs. In: Proceedings of the genetic and evolutionary computation conference (GECCO), pp 233\u2013234","DOI":"10.1145\/1143997.1144037"},{"key":"17_CR37","doi-asserted-by":"crossref","unstructured":"Nolfi S, Miglino O, Parisi D (1994) Phenotypic plasticity in evolving neural networks. In: Proceedings of the internation conference from perception to action, pp 146\u2013157","DOI":"10.1109\/FPA.1994.636092"},{"key":"17_CR38","doi-asserted-by":"crossref","unstructured":"Osana Y, Hattori M, Hagiwara M (1996) Chaotic bidirectional associative memory. In: IEEE international conference on neural networks, pp 816\u2013821","DOI":"10.1109\/ICNN.1996.549002"},{"issue":"5","key":"17_CR39","doi-asserted-by":"crossref","first-page":"1212","DOI":"10.1109\/72.410363","volume":"6","author":"B Pearlmutter","year":"1995","unstructured":"Pearlmutter B (1995) Gradient calculation for dynamic recurrent neural networks: a survey. IEEE Trans Neural Netw 6(5):1212\u20131228","journal-title":"IEEE Trans Neural Netw"},{"key":"17_CR40","unstructured":"Pollack M, Ringuette M (1990) Introducing the Tileworld: experimentally evaluating agent architectures. In: Proceedings of the eighth national conference on artificial intelligence, pp 183\u2013189"},{"key":"17_CR41","unstructured":"Russel S, Norvig P (1995) Artificial intelligence: a modern approach. Prentice-Hall, Englewood Cliffs"},{"issue":"3","key":"17_CR42","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1162\/neco.2007.19.3.757","volume":"19","author":"J Schmidhuber","year":"2007","unstructured":"Schmidhuber J, Wierstra D, Galiolo M, Gomez F (2007) Training recurrent networks by evolino. Neural Comput 19(3):757\u2013779","journal-title":"Neural Comput"},{"key":"17_CR43","unstructured":"Schmidhuber J, Wierstra D, Gomez F (2005) Evolino: hybrid neuroevolution\/optimal linear search for sequence learning. In: Proceedings of the 19th international joint conference on artificial intelligence (IJCAI), pp 853\u2013858"},{"issue":"2","key":"17_CR44","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1162\/106365602320169811","volume":"10","author":"K Stanley","year":"2002","unstructured":"Stanley K, Miikkulainen R (2002) Evolving neural networks through augmenting topologies. Evol Comput 10(2):99\u2013127","journal-title":"Evol Comput"},{"issue":"2","key":"17_CR45","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1162\/106454603322221487","volume":"9","author":"K Stanley","year":"2003","unstructured":"Stanley K, Miikkulainen R (2003) A taxonomy for artificial embryogeny. Artif Life 9(2):93\u2013130","journal-title":"Artif Life"},{"issue":"3","key":"17_CR46","first-page":"279","volume":"8","author":"C Watkins","year":"1992","unstructured":"Watkins C, Dayan P (1992) Q-learning. Mach Learn 8(3):279\u2013292","journal-title":"Mach Learn"},{"key":"17_CR47","unstructured":"Whitley D (1989) Applying genetic algorithms to neural network learning. In: Proceedings of the seventh conference of the society of artificial intelligence and simulation of behavior, pp 137\u2013144"},{"issue":"3","key":"17_CR48","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1177\/105971239400200301","volume":"2","author":"B Yamauchi","year":"1994","unstructured":"Yamauchi B, Beer R (1994) Sequential behavior and learning in evolved dynamical neural networks. Adapt Behav 2(3):219\u2013246","journal-title":"Adapt Behav"},{"issue":"9","key":"17_CR49","doi-asserted-by":"crossref","first-page":"1423","DOI":"10.1109\/5.784219","volume":"87","author":"X Yao","year":"1999","unstructured":"Yao X (1999) Evolving artificial neural networks. Proc IEEE 87(9):1423\u20131447","journal-title":"Proc IEEE"}],"container-title":["Evolutionary Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-009-0017-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12065-009-0017-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-009-0017-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T18:40:59Z","timestamp":1710096059000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12065-009-0017-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,2,6]]},"references-count":49,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2009,3]]}},"alternative-id":["17"],"URL":"https:\/\/doi.org\/10.1007\/s12065-009-0017-0","relation":{},"ISSN":["1864-5909","1864-5917"],"issn-type":[{"value":"1864-5909","type":"print"},{"value":"1864-5917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,2,6]]}}}