Year |
Citation |
Score |
2020 |
Harrington K, Pollack J. Escalation of Memory Length in Finite Populations. Artificial Life. 25: 22-32. PMID 30933630 DOI: 10.1162/Artl_A_00278 |
0.694 |
|
2015 |
Cussat-Blanc S, Harrington K, Pollack J. Gene Regulatory Network Evolution Through Augmenting Topologies Ieee Transactions On Evolutionary Computation. 19: 823-837. DOI: 10.1109/Tevc.2015.2396199 |
0.717 |
|
2014 |
Cussat-Blanc S, Pollack J. Cracking the egg: virtual embryogenesis of real robots Artificial Life. 20: 361-383. PMID 24730763 DOI: 10.1162/Artl_A_00136 |
0.414 |
|
2014 |
Lowell J, Harrington K, Pollack J. The Resistance of Swarm Ecosystem Under Environmental Variation Artificial Life. 827-834. DOI: 10.7551/978-0-262-32621-6-Ch135 |
0.657 |
|
2012 |
Harrington KI, Ozisik AP, Pollack JB. The effects of finite populations and selection on the emergence of signaling Artificial Life 13: Proceedings of the 13th International Conference On the Simulation and Synthesis of Living Systems, Alife 2012. 194-201. DOI: 10.7551/978-0-262-31050-5-Ch027 |
0.682 |
|
2012 |
Harrington KI, Spector L, Pollack JB, O'Reilly UM. Autoconstructive evolution for structural problems Gecco'12 - Proceedings of the 14th International Conference On Genetic and Evolutionary Computation Companion. 75-82. DOI: 10.1145/2330784.2330797 |
0.571 |
|
2011 |
Shang Y, Haynes P, Pírez N, Harrington KI, Guo F, Pollack J, Hong P, Griffith LC, Rosbash M. Imaging analysis of clock neurons reveals light buffers the wake-promoting effect of dopamine. Nature Neuroscience. 14: 889-95. PMID 21685918 DOI: 10.1038/Nn.2860 |
0.66 |
|
2007 |
Bucci A, Pollack JB. Thoughts on solution concepts Proceedings of Gecco 2007: Genetic and Evolutionary Computation Conference. 434-439. DOI: 10.1145/1276958.1277054 |
0.448 |
|
2006 |
Bader-Natal A, Pollack JB. BEEweb: A multi-domain platform for reciprocal peer-driven tutoring systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4053: 698-700. DOI: 10.1007/11774303_72 |
0.735 |
|
2005 |
Watson RA, Pollack JB. Modular interdependency in complex dynamical systems. Artificial Life. 11: 445-57. PMID 16197673 DOI: 10.1162/106454605774270589 |
0.53 |
|
2005 |
Bucci A, Pollack JB. On identifying global optima in cooperative coevolution Gecco 2005 - Genetic and Evolutionary Computation Conference. 539-544. DOI: 10.1145/1068009.1068098 |
0.46 |
|
2005 |
Ficici SG, Melnik O, Pollack JB. A game-theoretic and dynamical-systems analysis of selection methods in coevolution Ieee Transactions On Evolutionary Computation. 9: 580-602. DOI: 10.1109/Tevc.2005.856203 |
0.734 |
|
2004 |
Bader-Natal A, Pollack JB. A population-differential method of monitoring success and failure in coevolution Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3102: 585-586. |
0.719 |
|
2004 |
Bucci A, Pollack JB, De Jong E. Automated extraction of problem structure Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3102: 501-512. |
0.464 |
|
2003 |
Watson RA, Pollack JB. A computational model of symbiotic composition in evolutionary transitions. Bio Systems. 69: 187-209. PMID 12689729 DOI: 10.1016/S0303-2647(02)00135-1 |
0.507 |
|
2003 |
Pollack JB, Hornby GS, Lipson H, Funes P. Computer creativity in the automatic design of robots Leonardo. 36: 115-121. DOI: 10.1162/002409403321554170 |
0.78 |
|
2003 |
Pollack JB, Hornby GS, Lipson H, Funes P. Computer Creativity in the Automatic Design of Robots Leonardo. 36: 115-121. DOI: 10.1162/002409403321554170 |
0.743 |
|
2003 |
Hornby GS, Lipson H, Pollack JB. Generative representations for the automated design of modular physical robots Ieee Transactions On Robotics and Automation. 19: 703-719. DOI: 10.1109/TRA.2003.814502 |
0.747 |
|
2003 |
Bucci A, Pollack JB. Focusing versus intransitivity: Geometrical aspects of co-evolution Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2723: 250-261. |
0.489 |
|
2002 |
Hornby GS, Pollack JB. Creating high-level components with a generative representation for body-brain evolution. Artificial Life. 8: 223-46. PMID 12537684 DOI: 10.1162/106454602320991837 |
0.719 |
|
2002 |
Lipson H, Pollack JB, Suh NP. On the origin of modular variation. Evolution; International Journal of Organic Evolution. 56: 1549-56. PMID 12353747 DOI: 10.1111/J.0014-3820.2002.Tb01466.X |
0.562 |
|
2002 |
Melnik O, Pollack JB. Theory and scope of exact representation extraction from feed-forward networks Cognitive Systems Research. 3: 203-226. DOI: 10.1016/S1389-0417(01)00058-4 |
0.732 |
|
2002 |
Watson RA, Ficici SG, Pollack JB. Embodied Evolution: Distributing an evolutionary algorithm in a population of robots Robotics and Autonomous Systems. 39: 1-18. DOI: 10.1016/S0921-8890(02)00170-7 |
0.619 |
|
2001 |
Pollack JB, Lipson H, Hornby G, Funes P. Three generations of automatically designed robots. Artificial Life. 7: 215-23. PMID 11712955 DOI: 10.1162/106454601753238627 |
0.777 |
|
2001 |
Hornby GS, Lipson H, Pollack JB. Evolution of generative design systems for modular physical robots Proceedings - Ieee International Conference On Robotics and Automation. 4: 4146-4151. DOI: 10.1109/ROBOT.2001.933266 |
0.753 |
|
2001 |
Hornby GS, Pollack JB. Evolving L-systems to generate virtual creatures Computers and Graphics (Pergamon). 25: 1041-1048. DOI: 10.1016/S0097-8493(01)00157-1 |
0.663 |
|
2001 |
Pollack JB, Lipson H, Funes P, Hornby G. First three generations of evolved robots Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2217: 62-71. DOI: 10.1007/3-540-45502-7_3 |
0.777 |
|
2001 |
Hornby GS, Pollack JB. The advantages of generative grammatical encodings for physical design Proceedings of the Ieee Conference On Evolutionary Computation, Icec. 1: 600-607. |
0.63 |
|
2001 |
Levy SD, Pollack JB. Logical computation on a fractal neural substrate Proceedings of the International Joint Conference On Neural Networks. 4: 2530-2535. |
0.608 |
|
2000 |
Lipson H, Pollack JB. Automatic design and manufacture of robotic lifeforms. Nature. 406: 974-8. PMID 10984047 DOI: 10.1038/35023115 |
0.617 |
|
2000 |
Pollack JB, Lipson H. The GOLEM project: Evolving hardware bodies and brains Proceedings - Nasa/Dod Conference On Evolvable Hardware, Eh. 2000: 37-42. DOI: 10.1109/EH.2000.869340 |
0.401 |
|
2000 |
Pollack JB, Lipson H, Ficici S, Funes P, Hornby G, Watson RA. Evolutionary techniques in physical robotics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1801: 175-186. |
0.667 |
|
2000 |
Hornby GS, Takamura S, Hanagata O, Fujita M, Pollack J. Evolution of controllers from a high-level simulator to a high DOF robot Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1801: 80-89. |
0.664 |
|
2000 |
Melnik O, Levy S, Pollack J. RAAM for infinite context-free languages Proceedings of the International Joint Conference On Neural Networks. 5: 585-590. |
0.59 |
|
1999 |
Juillé H, Pollack JB. Coevolutionary Learning and the Design of Complex Systems Advances in Complex Systems. 2: 371-393. DOI: 10.1142/S0219525999000199 |
0.344 |
|
1999 |
Watson RA, Pollack JB. Hierarchically consistent test problems for genetic algorithms Proceedings of the 1999 Congress On Evolutionary Computation, Cec 1999. 2: 1406-1413. DOI: 10.1109/CEC.1999.782647 |
0.411 |
|
1999 |
Watson RA, Ficiei SG, Pollack JB. Embodied evolution: Embodying an evolutionary algorithm in a population of robots Proceedings of the 1999 Congress On Evolutionary Computation, Cec 1999. 1: 335-342. DOI: 10.1109/CEC.1999.781944 |
0.535 |
|
1999 |
Watson RA, Pollack JB. How symbiosis can guide evolution Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1674: 29-38. DOI: 10.1007/3-540-48304-7_7 |
0.426 |
|
1998 |
Funes P, Pollack J. Evolutionary body building: Adaptive physical designs for robots Artificial Life. 4: 337-357. PMID 10352237 DOI: 10.1162/106454698568639 |
0.79 |
|
1998 |
Pollack JB, Blair AD. Co-evolution in the successful learning of Backgammon strategy Machine Learning. 32: 225-240. DOI: 10.1023/A:1007417214905 |
0.303 |
|
1998 |
Watson RA, Hornby GS, Pollack JB. Modeling building-block interdependency Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1498: 97-106. |
0.597 |
|
1995 |
Large EW, Palmer C, Pollack JB. Reduced memory representations for music Cognitive Science. 19: 53-93. DOI: 10.1207/S15516709Cog1901_2 |
0.638 |
|
1994 |
Angeline PJ, Saunders GM, Pollack JB. An evolutionary algorithm that constructs recurrent neural networks. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 5: 54-65. PMID 18267779 DOI: 10.1109/72.265960 |
0.765 |
|
1991 |
Pollack JB. The Induction of Dynamical Recognizers Machine Learning. 7: 227-252. DOI: 10.1007/Bf00114845 |
0.332 |
|
1990 |
Pollack JB. Recursive distributed representations Artificial Intelligence. 46: 77-105. DOI: 10.1016/0004-3702(90)90005-K |
0.309 |
|
1985 |
Waltz DL, Pollack JB. Massively parallel parsing: A strongly interactive model of natural language interpretation Cognitive Science. 9: 51-74. DOI: 10.1207/S15516709Cog0901_4 |
0.583 |
|
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