Publications


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Go directly to a specific category: Books; Edited Volumes; Artificial Life; Biology & Medicine; Cellular Automata; Cellular Computing; Darwinian Software Engineering; Evolutionary Algorithms; Evolvable Hardware; Fuzzy Logic; Games; Miscellaneous; Neural Networks; Robotics; Self-Replication.

Books

  1. M. Sipper, Evolved to Win, Lulu, 2011.
  2. M. Sipper, Machine Nature: The Coming Age of Bio-Inspired Computing, McGraw-Hill, New York, 2002.
  3. M. Sipper, Evolution of Parallel Cellular Machines: The Cellular Programming Approach, Springer-Verlag, Heidelberg, 1997.

Edited Volumes

  1. M. Sipper and M. Giacobini, Eds., Genetic Programming and Evolvable Machines: Special Section on Evolutionary Computation in Games, vol. 9, no. 4, 2008.
  2. J. Kroc, R. Vollmar, M. Sipper, & S. El Yacoubi, Eds., Journal of Cellular Automata: Special Issue -- Modelling of Complex Systems by Cellular Automata, vol. 1, no. 2, 2006.
  3. E. Ruppin, J. A. Reggia, and M. Sipper, Eds., Artificial Intelligence in Medicine: Special Issue -- Evolutionary Computation in Medicine, vol. 19, no. 1, May 2000.
  4. M. Sipper and D. Mange, Eds., IEEE Transactions on Evolutionary Computation: Special Issue -- From Biology to Hardware and Back, vol. 3, no. 3, September 1999.
  5. M. Sipper, G. Tempesti, D. Mange, and E. Sanchez, Eds., Artificial Life: Special Issue on Self-Replication, vol. 4, no. 3, Summer 1998.
  6. M. Sipper, D. Mange, and A. Pérez-Uribe, Eds., Proceedings of The Second International Conference on Evolvable Systems: From Biology to Hardware (ICES98), vol. 1478 of Lecture Notes in Computer Science, Springer-Verlag, Heidelberg, 1998.

Artificial Life

  1. M. Sipper, Artificial life: From life-as-we-know-it to life-as-it-could-be, in Life As We Know It, J. Seckbach, Ed., vol. 9 of Cellular Origin, Life in Extreme Habitats and Astrobiology, pp. 707-718. Springer-Verlag, Heidelberg, 2006.
  2. B. Naveh, M. Sipper, D. Lancet, and B. Shenhav, Lipidia: An artificial chemistry of self-replicating assemblies of lipid-like molecules, in Artificial Life IX: Proceedings of the 9th International Conference on the Simulation and Synthesis of Living Systems, J. Pollack, M. Bedau, P. Husbands, T. Ikegami, and R. A. Watson, Eds. 2004, pp. 466-471, The MIT Press, Cambridge, Massachusetts.
  3. A. Stauffer and M. Sipper, Biomorphs implemented as a data and signals cellular automaton, in Advances in Artificial Life: Proceedings of the 7th European Conference on Artificial Life (ECAL 2003), W. Banzhaf, T. Christaller, P. Dittrich, J. T. Kim, and J. Ziegler, Eds. 2003, vol. 2801 of Lecture Notes in Artificial Intelligence, pp. 724-732, Springer-Verlag, Heidelberg.
  4. A. Gal, G. Mahal, and M. Sipper, Evolutionary plantographics, Artificial Life, vol. 9, no. 2, pp. 191-205, Spring 2003.
  5. D. Mange, A. Stauffer, G. Tempesti, and M. Sipper, Penser d autres formes de vie, in Sur les traces du vivant,, F. Raulin-Cerceau et al., Ed., pp. 255-268. Le pommier, Paris, 2002.
  6. E. M. A. Ronald and M. Sipper, Surprise versus unsurprise: Implications of emergence in robotics, Robotics and Autonomous Systems, vol. 37, no. 1, pp. 19-24, October 2001.
  7. E. M. A. Ronald and M. Sipper, Engineering, emergent engineering, and artificial life: Unsurprise, unsurprising surprise, and surprising surprise, in Artificial Life VII: Proceedings of the Seventh International Conference on Artificial Life, M. A. Bedau, J. S. McCaskill, N. H. Packard, and S. Rasmussen, Eds. 2000, pp. 523-528, The MIT Press, Cambridge, Massachusetts.
  8. E. M. A. Ronald, M. Sipper, and M. S. Capcarrère, Design, observation, surprise! A test of emergence, Artificial Life, vol. 5, no. 3, pp. 225-239, Summer 1999.      
  9. E. M. A. Ronald, M. Sipper, and M. S. Capcarrère, Testing for emergence in artificial life, in Advances in Artificial Life: Proceedings of the 5th European Conference on Artificial Life (ECAL'99), D. Floreano, J.-D. Nicoud, and F. Mondada, Eds. 1999, vol. 1674 of Lecture Notes in Artificial Intelligence, pp. 13-20, Springer-Verlag, Heidelberg.
  10. A. Stauffer and M. Sipper, L-hardware: Modeling and implementing cellular development using L-systems, in Bio-Inspired Computing Machines: Toward Novel Computational Architectures, M. Tomassini and D. Mange, Eds., pp. 269-287. Presses Polytechniques et Universitaires Romandes, Lausanne, Switzerland, 1998.
  11. A. Stauffer and M. Sipper, Modeling cellular development using L-systems, in Proceedings of The Second International Conference on Evolvable Systems: From Biology to Hardware (ICES98), M. Sipper, D. Mange, and A. Pérez-Uribe, Eds. 1998, vol. 1478 of Lecture Notes in Computer Science, pp. 196-205, Springer-Verlag, Heidelberg.
  12. M. Sipper, If the milieu is reasonable: Lessons from nature on creating life, Journal of Transfigural Mathematics, vol. 3, no. 1, pp. 7-22, 1997.   
  13. M. Sipper, An introduction to artificial life, Explorations in Artificial Life (special issue of AI Expert), pp. 4-8, September 1995, Miller Freeman, San Francisco, CA.   
  14. M. Sipper, Studying artificial life using a simple, general cellular model, Artificial Life, vol. 2, no. 1, pp. 1-35, 1995, The MIT Press, Cambridge, MA.   

Biology & Medicine

  1. S. Michal, T. Ivry, O. S. Cohen, M. Sipper, and D. Barash, Finding a common motif of RNA sequences using genetic programming: The GeRNAMo system, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 4, no. 4, pp. 596-610, Oct.-Dec. 2007.
  2. C.-A. Peña-Reyes and M. Sipper, Combining evolutionary and fuzzy techniques in medical diagnosis, Computational Intelligence Processing in Medical Diagnosis, M. Schmitt, H.-N. Teodorescu, As. Jain, Aj. Jain, S. Jain, and L. C. Jain, Eds., chapter 14, pp. 391-426. Physica-Verlag, Heidelberg, 2002.
  3. C.-A. Peña-Reyes, M. Sipper, and L. Prieto, Sensitive, specific, and interpretable: Evolving a fuzzy mammographic-interpretation assessment tool, Proceedings of 2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2002). 2002, pp. 837-842, IEEE Press, Piscataway, NJ.
  4. C.-A. Peña-Reyes and M. Sipper, Evolutionary computation in medicine: An overview, Artificial Intelligence in Medicine, vol. 19, no. 1, pp. 1-23, May 2000.
  5. C.-A. Peña-Reyes and M. Sipper, Applying Fuzzy CoCo to breast cancer diagnosis, in Proceedings of the 2000 Congress on Evolutionary Computation (CEC00). 2000, vol. 2, pp. 1168-1175, IEEE Press, Piscataway, NJ.
  6. C.-A. Peña-Reyes and M. Sipper, A fuzzy-genetic approach to breast cancer diagnosis, Artificial Intelligence in Medicine, vol. 17, no. 2, pp. 131-155, October 1999.   
  7. C.-A. Peña-Reyes and M. Sipper, Designing breast cancer diagnostic systems via a hybrid fuzzy-genetic methodology, in Proceedings of 1999 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'99), 1999, vol. I, pp. 135-139, IEEE Press, Piscataway, NJ.
  8. C.-A. Peña-Reyes and M. Sipper, Evolving fuzzy rules for breast cancer diagnosis, in Proceedings of 1998 International Symposium on Nonlinear Theory and its Applications (NOLTA'98). 1998, vol. 2, pp. 369-372, Presses Polytechniques et Universitaires Romandes, Lausanne, Switzerland.

Cellular Automata

  1. A. Stauffer and M. Sipper, The data and signals cellular automation and its application to growing structures, Artificial Life, vol. 10, no. 4, pp. 463-477, Fall 2004.
  2. A. Stauffer and M. Sipper, Data and signals: A new kind of cellular automaton for growing systems, Proceedings of 5th NASA/DoD Workshop on Evolvable Hardware (EH 2003), 2003, IEEE Computer Society, Los Alamitos, California.
  3. M. S. Capcarrère and M. Sipper, Necessary conditions for density classification by cellular automata, Physical Review E, vol. 64, no. 3, pp. 036113/1-036113/4, September 2001.
  4. M. Tomassini, M. Sipper, and M. Perrenoud, On the generation of high-quality random numbers by two-dimensional cellular automata, IEEE Transactions on Computers, vol. 49, no. 10, pp. 1146-1151, October 2000.   
  5. M. Tomassini, M. Sipper, M. Zolla, and M. Perrenoud, Generating high-quality random numbers in parallel by cellular automata, Future Generation Computer Systems, vol. 16, no. 2-3, pp. 291-305, December 1999.   
  6. M. Sipper and M. Tomassini, An introduction to cellular automata, in Bio-Inspired Computing Machines: Toward Novel Computational Architectures, M. Tomassini and D. Mange, Eds. , pp. 49-58. Presses Polytechniques et Universitaires Romandes, Lausanne, Switzerland, 1998.
  7. M. Sipper, M. S. Capcarrère, and E. Ronald, A simple cellular automaton that solves the density and ordering problems, International Journal of Modern Physics C, vol. 9, no. 7, pp. 899-902, October 1998.
  8. M.Sipper, Computing with cellular automata: Three cases for nonuniformity, Physical Review E, Vol. 57, No. 3, pages 3589-3592, March 1998.   
  9. A. Stauffer and M. Sipper, On the relationship between cellular automata and L-systems: The self-replication case, Physica D, vol. 116, no. 1-2, pp. 71-80, 1998.
  10. M. S. Capcarrère, M. Sipper, and M. Tomassini, Two-state, r=1 cellular automaton that classifies density, Physical Review Letters, vol. 77, no. 24, pp. 4969-4971, December 1996.   
  11. M. Sipper, Quasi-uniform computation-universal cellular automata, in ECAL'95: Third European Conference on Artificial Life, F. Morán, A. Moreno, J. J. Merelo, and P. Chacón, Eds., Heidelberg, 1995, vol. 929 of Lecture Notes in Computer Science, pp. 544-554, Springer-Verlag.   
  12. M. Sipper, Non-uniform cellular automata: Evolution in rule space and formation of complex structures, in Artificial Life IV, R. A. Brooks and P. Maes, Eds., Cambridge, Massachusetts, 1994, pp. 394-399, The MIT Press.   

Cellular Computing

  1. M. Sipper, The emergence of cellular computing, IEEE Computer, vol. 32, no. 7. pp. 18-26, July 1999,      
  2. M. S. Capcarrère, M. Tomassini, A. G. B. Tettamanzi, and M. Sipper, A statistical study of a class of cellular evolutionary algorithms, Evolutionary Computation, vol. 7, no. 3, pp. 255-274, Fall 1999.
  3. M. Perrenoud, M. Tomassini, M. Sipper, and M. Zolla, Evolving high-quality random number generators, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99), W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, Eds. 1999, vol. 1, p. 804, Morgan Kaufmann Publishers, San Francisco, California.
  4. M. Sipper and M. Tomassini, Computation in artificially evolved, non-uniform cellular automata, Theoretical Computer Science, vol. 217, no. 1, pp. 81-98, March 1999.
  5. M. Sipper, Programming cellular machines by cellular programming, in Bio-Inspired Computing Machines: Toward Novel Computational Architectures, M. Tomassini and D. Mange, Eds., pp. 99-119. Presses Polytechniques et Universitaires Romandes, Lausanne, Switzerland, 1998.
  6. M. Sipper, Simple + parallel + local = Cellular computing, in Fifth International Conference on Parallel Problem Solving from Nature (PPSN V), A. E. Eiben, T. Bäck, M. Schoenauer, and H.-P. Schwefel, Eds. 1998, vol. 1498 of Lecture Notes in Computer Science, pp. 653-662, Springer-Verlag, Heidelberg.
  7. M. S. Capcarrère, A. G. B. Tettamanzi, M. Tomassini, and M. Sipper, Studying parallel evolutionary algorithms: The cellular programming case, in Fifth International Conference on Parallel Problem Solving from Nature (PPSN V), A. E. Eiben, T. Bäck, M. Schoenauer, and H.-P. Schwefel, Eds. 1998, vol. 1498 of Lecture Notes in Computer Science, pp. 573-582, Springer-Verlag, Heidelberg.
  8. M. Sipper, Evolving uniform and non-uniform cellular automata networks, in Annual Reviews of Computational Physics, D. Stauffer, Ed., vol. V, pp. 243-285. World Scientific, Singapore, 1997.
  9. M. Sipper and M. Tomassini, Convergence to uniformity in a cellular automaton via local coevolution, International Journal of Modern Physics C, vol. 8, no. 5, pp. 1013-1024, 1997.
  10. M. Sipper, M. Tomassini, and M. S. Capcarrère, Designing cellular automata using a parallel evolutionary algorithm, Nuclear Instruments & Methods in Physics Research, Section A, vol. 389, no. 1-2, pp. 278-283, 1997.
  11. M. Sipper, The evolution of parallel cellular machines: Toward evolware, BioSystems, vol. 42, pp. 29-43, 1997.   
  12. M. Sipper and E. Ruppin, Co-evolving architectures for cellular machines, Physica D, vol. 99, pp. 428-441, 1997.
  13. M. Sipper, M. Tomassini, and M. S. Capcarrère, Evolving asynchronous and scalable non-uniform cellular automata, Proceedings of International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA97), G. D. Smith, N. C. Steele, and R. F. Albrecht, Eds. 1997, pp. 66-70, Springer-Verlag, Vienna.
  14. M. Sipper and M. Tomassini, Evolvable cellular machines, in Proceedings of the Second Conference on Cellular Automata for Research and Industry (ACRI'96), S. Bandini and G. Mauri, Eds. 1997, pp. 177-186, Springer-Verlag, London.
  15. M. Sipper, Designing evolware by cellular programming, in Proceedings of The First International Conference on Evolvable Systems: From Biology to Hardware (ICES96), T. Higuchi, M. Iwata, and W. Liu, Eds. 1997, vol. 1259 of Lecture Notes in Computer Science, pp. 81-95, Springer-Verlag, Heidelberg.
  16. M. Sipper, M. Tomassini, and O. Beuret, Studying probabilistic faults in evolved non-uniform cellular automata, International Journal of Modern Physics C, vol. 7, no. 6, pp. 923-939, 1996.
  17. M. Sipper and M. Tomassini, Generating parallel random number generators by cellular programming, International Journal of Modern Physics C, vol. 7, no. 2, pp. 181-190, 1996.   
  18. M. Sipper and M. Tomassini, Co-evolving parallel random number generators, in Parallel Problem Solving from Nature - PPSN IV, H.-M. Voigt, W. Ebeling, I. Rechenberg, and H.-P. Schwefel, Eds. 1996, vol. 1141 of Lecture Notes in Computer Science, pp. 950-959, Springer-Verlag, Heidelberg.   
  19. M. Sipper and E. Ruppin, Co-evolving cellular architectures by cellular programming, in Proceedings of IEEE Third International Conference on Evolutionary Computation (ICEC'96), 1996, pp. 306-311.   
  20. M. Sipper, Co-evolving non-uniform cellular automata to perform computations, Physica D, vol. 92, pp. 193-208, 1996.   

Darwinian Software Engineering

(see also Darwinian Software Engineering page)
  1. M. Sipper, Darwinian Software Engineering: The Short Term, the Middle Ground, and the Long Haul Ubiquity Symposium, December 2012.
  2. K. Wolfson, S. Zakov, M. Sipper, and M. Ziv-Ukelson, Have your spaghetti and eat it too: Evolutionary algorithmics and post-evolutionary analysis, Genetic Programming and Evolvable Machines, Volume 12, Number 2, pp. 121-160, 2011.
  3. M. Orlov and M. Sipper, Flight of the FINCH through the Java wilderness, IEEE Transactions on Evolutionary Computation, vol. 15, no. 2, pp. 166-182, 2011.
  4. M. Orlov and M. Sipper, FINCH: A system for evolving Java (bytecode), in Genetic Programming Theory and Practice VIII (GPTP 2010), R. Riolo, T. McConaghy, and E. Vladislavleva, Eds. 2010, pp. 1-16, Springer.
  5. K. Wolfson and M. Sipper, Evolving efficient list search algorithms, in Artificial Evolution: Proceedings of 9th International Conference (EA 2009), P. Collet, N. Monmarche, P. Legrand, M. Schoenauer, and E. Lutton, Eds. 2009, vol. 5975 of Lecture Notes in Computer Science, pp. 158-169, Springer-Verlag, Heidelberg.
  6. M. Orlov and M. Sipper, Genetic programming in the wild: Evolving unrestricted bytecode, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2009), pp. 1043-1050, ACM.
  7. M. Orlov and M. Sipper, Evolutionary software improvement for instruction set meta-evolution, in Proceedings of Workshop and Summer School on Evolutionary Computing (WSSEC 2008), IEEE Press.

Evolutionary Algorithms

  1. M. Orlov, M. Sipper, and A. Hauptman, Genetic and evolutionary algorithms and programming: General introduction and application to game playing, in Encyclopedia of Complexity and Systems Science, R. A. Meyers, Ed., Springer-Verlag, Heidelberg, 2009.
  2. I. Kadar, O. Ben-Shahar, and M. Sipper, Evolution of a local boundary detector for natural images via genetic programming and texture cues, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2009), pp. 1887-1888, ACM.
  3. I. Kadar, O. Ben-Shahar, and M. Sipper, Evolving boundary detectors for natural images via genetic programming, in Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008).
  4. A. Glazer and M. Sipper, Evolving an automatic defect classification tool, in Applications of Evolutionary Computing: Proceedings of EvoWorkshops 2008, M. Giacobini et al., Eds. 2008, vol. 4974 of Lecture Notes in Computer Science, pp. 194-203, Springer-Verlag, Heidelberg.
  5. M. Sipper, Reifying building blocks in evolutionary algorithms, AISB Quarterly, no. 118, pp. 3, Autumn 2004.
  6. A. Zaritsky and M. Sipper, The preservation of favoured building blocks in the struggle for fitness: The puzzle algorithm, IEEE Transactions on Evolutionary Computation, vol. 8, no. 5, pp. 443-455, October 2004.
  7. A. Zaritsky and M. Sipper, Coevolving solutions to the shortest common superstring problem, Biosystems, vol. 76, nos. 1-3, pp. 209-216, August-October 2004.
  8. M. Sipper, A success story or an old wives' tale? On judging experiments in evolutionary computation, Complexity, vol. 5, no. 4, pp. 31-33, 2000.   
  9. M. Sipper, Notes on the origin of evolutionary computation, Complexity, vol. 4, no. 5, pp. 15-21, May/June 1999.   

Evolvable Hardware

  1. M. Sipper and E. M. A. Ronald, A new species of hardware, IEEE Spectrum, vol. 37, no. 3, pp. 59-64, March 2000.   
  2. M. Sipper, E. Sanchez, J.-O. Haenni, J.-L. Beuchat, A. Stauffer, and A. Pérez-Uribe, From configurable circuits to bio-inspired systems, in Intelligent Systems and Interfaces, H.-N. Teodorescu, D. Mlynek, A. Kandel, and H.-J. Zimmermann, Eds., vol. 15 of Intelligent Technologies Series. Kluwer Academic Publishers, Boston, 2000.
  3. D. Mange, M. Sipper, A. Stauffer, and G. Tempesti, Towards robust integrated circuits: The embryonics approach, Proceedings of the IEEE, vol. 88, no. 4, pp. 516-541, April 2000.   
  4. D. Mange, M. Sipper, A. Stauffer, and G. Tempesti, Toward self-repairing and self-replicating hardware: The embryonics approach, in Proceedings of the Second NASA/DoD Workshop on Evolvable Hardware, J. Lohn, A. Stoica, D. Keymeulen, and S. Colombano, Eds. 2000, pp. 205-214, IEEE Computer Society, Los Alamitos, California.
  5. R. Levy, S. Lepri, E. Sanchez, G. Ritter, and M. Sipper, Slate of the art: An evolving FPGA-based board for handwritten-digit recognition, in Proceedings of the Second NASA/DoD Workshop on Evolvable Hardware, J. Lohn, A. Stoica, D. Keymeulen, and S. Colombano, Eds. 2000, pp. 237-243, IEEE Computer Society, Los Alamitos, California.
  6. M. Sipper and E. Sanchez, Configurable chips meld software and hardware, IEEE Computer, vol. 33, no. 1, pp. 120-121, January 2000.   
  7. D. Mange, M. Sipper, and P. Marchal, Embryonic electronics, BioSystems, vol. 51, no. 3, pp. 145-152, September 1999.
  8. M. Sipper, D. Mange, and E. Sanchez, Quo vadis evolvable hardware?, Communications of the ACM, vol. 42, no. 4, pp. 50-56, April 1999.   
  9. E. Sanchez, M. Sipper, J.-O. Haenni, J.-L. Beuchat, A. Stauffer, and A. Pérez-Uribe, Static and dynamic configurable systems, IEEE Transaction on Computers, vol. 48, no. 6, pp. 556-564, June 1999.   
  10. M. Sipper, E. Sanchez, D. Mange, M. Tomassini, A. Pérez-Uribe, and A. Stauffer, An introduction to bio-inspired machines, in Bio-Inspired Computing Machines: Toward Novel Computational Architectures, M. Tomassini and D. Mange, Eds., pp. 1-12. Presses Polytechniques et Universitaires Romandes, Lausanne, Switzerland, 1998.
  11. A. Stauffer, D. Mange, and M. Sipper, Evolware: Implementing evolving cellular machines using FPGAs , Informatik/Informatique (Journal of the Swiss Society of Computer Scientists), vol. 5, no. 2, pp. 40-42, April 1998.
  12. A. Stauffer, M. Sipper, and A. Pérez-Uribe, Some applications of FPGAs in bio-inspired hardware, in Proceedings of 6th IEEE Symposium on FPGAs for Custom Computing Machines (FCCM'98), K. L. Pocek and J. M. Arnold, Eds. 1998, pp. 278-279, IEEE Computer Society, Los Alamitos, California.
  13. M. Sipper, D. Mange, and A. Stauffer, Ontogenetic hardware, BioSystems, Vol. 44, No. 3, pages 193-207, 1997.
  14. M. Sipper, E. Sanchez, D. Mange, M. Tomassini, A. Pérez-Uribe, and A. Stauffer, A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems, IEEE Transactions on Evolutionary Computation, vol. 1, no. 1, pp. 83-97, April 1997.      
  15. M. Sipper, E. Sanchez, D. Mange, M. Tomassini, A. Pérez-Uribe, and A. Stauffer, The POE model of bio-inspired hardware systems: A short introduction, in Genetic Programming 1997: Proceedings of the Second Annual Conference, J. R. Koza, K. Deb, M. Dorigo, D. B. Fogel, M. Garzon, H. Iba, and R. L. Riolo, Eds. 1997, pp. 510-511, Morgan Kaufmann, San Francisco, CA.
  16. M. Sipper, M. Goeke, D. Mange, A. Stauffer, E. Sanchez, and M. Tomassini, The firefly machine: Online evolware, in Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC'97), 1997, pp. 181-186.
  17. E. Sanchez, D. Mange, M. Sipper, M. Tomassini, A. Pérez-Uribe, and A. Stauffer, Phylogeny, ontogeny, and epigenesis: Three sources of biological inspiration for softening hardware, in Proceedings of The First International Conference on Evolvable Systems: From Biology to Hardware (ICES96), T. Higuchi, M. Iwata, and W. Liu, Eds. 1997, vol. 1259 of Lecture Notes in Computer Science, pp. 35-54, Springer-Verlag, Heidelberg.
  18. P. Marchal, P. Nussbaum, C. Piguet, and M. Sipper, Speeding up digital ecologies evolution using a hardware emulator: Preliminary results, in Proceedings of The First International Conference on Evolvable Systems: From Biology to Hardware (ICES96), T. Higuchi, M. Iwata, and W. Liu, Eds. 1997, vol. 1259 of Lecture Notes in Computer Science, pp. 107-124, Springer-Verlag, Heidelberg.
  19. M. Goeke, M. Sipper, D. Mange, A. Stauffer, E. Sanchez, and M. Tomassini, Online autonomous evolware, in Proceedings of The First International Conference on Evolvable Systems: From Biology to Hardware (ICES96), T. Higuchi, M. Iwata, and W. Liu, Eds. 1997, vol. 1259 of Lecture Notes in Computer Science, pp. 96-106, Springer-Verlag, Heidelberg.

Fuzzy Logic

  1. C.-A. Peña-Reyes and M. Sipper, Fuzzy CoCo: Balancing accuracy and interpretability of fuzzy models by means of coevolution, in Accuracy Improvements in Linguistic Fuzzy Modeling, J. Casillas, O. Cordón, F. Herrera, and L. Magdalena, Eds., vol. 129 of Studies in Fuzziness and Soft Computing, chapter 6, pp. 119-146. Springer-Verlag, Heidelberg, 2003.
  2. C.-A. Peña-Reyes and M. Sipper, Fuzzy CoCo: A cooperative-coevolutionary approach to fuzzy modeling, IEEE Transactions on Fuzzy Systems, vol. 9, no. 5, pp. 727-737, October 2001.
  3. C.-A. Peña-Reyes and M. Sipper, The flowering of Fuzzy CoCo: Evolving fuzzy iris classifiers, in Proceedings of 5th International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA 2001), V. Kurkova, N. C. Steele, R. Neruda, and M. Karny, Eds. 2001, pp. 304-307, Springer-Verlag, Vienna.

Games

(see also Games Group page)
  1. A. Benbassat and M. Sipper, Evolving Both Search and Strategy for Reversi Players using Genetic Programming, in Proceedings of IEEE Conference on Computational Intelligence and Games (IEEE CIG 2012).
  2. A. Elyasaf, A. Hauptman, and M. Sipper, Evolutionary Design of FreeCell Solvers, in IEEE Transactions on Computational Intelligence and AI in Games, vol. 4, no. 4, pp. 270-281.
  3. A. Benbassat and M. Sipper, Evolving Players that Use Selective Game-Tree Search with Genetic Programming, in GECCO'12 Companion, T. Soule et al., Eds. 2012, ACM.
  4. A. Benbassat, A. Elyasaf, and M. Sipper, More or Less? Two Approaches to Evolving Game-Playing Strategies, in Genetic Programming Theory and Practice X (GPTP 2012), 2012, Springer.
  5. M. Sipper, Let the Games Evolve!, in Genetic Programming Theory and Practice IX (GPTP 2011), R. Riolo, T. McConaghy, and E. Vladislavleva, Eds. .
  6. Y. Shichel and M. Sipper, GP-RARS: Evolving controllers for the Robot Auto Racing Simulator, Memetic Computing, Volume 3, Number 2, pp. 89-99, 2011.
  7. A. Elyasaf, A. Hauptman, and M. Sipper, GA-FreeCell: Evolving solvers for the game of FreeCell, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011), 2011, ACM.
  8. M. Sipper, Evolutionary games, in Encyclopedia of Machine Learning, C. Sammut and G. I. Webb, Eds., Springer-Verlag, Heidelberg, 2010, pp. 362-369, Springer.
  9. A. Benbassat and M. Sipper, Evolving lose-checkers players using genetic programming, in Proceedings of IEEE Conference on Computational Intelligence and Games (IEEE CIG 2010).
  10. A. Hauptman, A. Elyasaf, M. Sipper, and A. Karmon, GP-Rush: Using genetic programming to evolve solvers for the Rush Hour puzzle, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2009), pp. 955-962, ACM.
  11. A. Hauptman and M. Sipper, Evolution of an efficient search algorithm for the mate-in-n problem in chess, in Proceedings of 10th European Conference on Genetic Programming (EuroGP2007), M. Ebner, M. O'Neill, A. Ekárt, L. Vanneschi, A. I. Esparcia-Alcázar, Eds. 2007, vol. 4445 of Lecture Notes in Computer Science, pp. 78-89, Springer-Verlag, Heidelberg.
  12. A. Hauptman and M. Sipper, Emergence of complex strategies in the evolution of chess endgame players, Advances in Complex Systems, vol. 10, suppl. no. 1, pp. 35-59, 2007.
  13. M. Sipper, Y. Azaria, A. Hauptman, and Y. Shichel, Designing an evolutionary strategizing machine for game playing and beyond, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 37, no. 4, pp. 583-593, July 2007.
  14. M. Sipper, Evolving game-playing strategies with genetic programming, ERCIM (European Research Consortium for Informatics and Mathematics) News, no. 64, pp. 28-29, January 2006.
  15. Y. Shichel, E. Ziserman, and M. Sipper, GP-Robocode: Using genetic programming to evolve robocode players, in Proceedings of 8th European Conference on Genetic Programming (EuroGP2005), M. Keijzer, A. Tettamanzi, P. Collet, J. van Hemert, and M. Tomassini, Eds. 2005, vol. 3447 of Lecture Notes in Computer Science, pp. 143-154, Springer-Verlag, Heidelberg.
  16. A. Hauptman and M. Sipper, GP-EndChess: Using genetic programming to evolve chess endgame players, in Proceedings of 8th European Conference on Genetic Programming (EuroGP2005), M. Keijzer, A. Tettamanzi, P. Collet, J. van Hemert, and M. Tomassini, Eds. 2005, vol. 3447 of Lecture Notes in Computer Science, pp. 120-131, Springer-Verlag, Heidelberg.
  17. Y. Azaria and M. Sipper, GP-Gammon: Genetically programming backgammon players, Genetic Programming and Evolvable Machines, vol. 6, no. 3, pp. 283-300, September 2005.
  18. Y. Azaria and M. Sipper, GP-Gammon: Using genetic programming to evolve backgammon players, in Proceedings of 8th European Conference on Genetic Programming (EuroGP2005), M. Keijzer, A. Tettamanzi, P. Collet, J. van Hemert, and M. Tomassini, Eds. 2005, vol. 3447 of Lecture Notes in Computer Science, pp. 132-141, Springer-Verlag, Heidelberg.

Miscellaneous

  1. M. Sipper, Cluster-dense networks, International Journal of Modern Physics C, vol. 19, no. 6, pp. 939-946, 2008.
  2. M. Sipper, Book review of Kinematic Self-Replicating Machines by Robert A. Freitas, Jr. and Ralph C. Merkle, Artificial Life Journal, vol. 12, no. 1, pp. 187-188, Winter 2006.
  3. Y. Hasson and M. Sipper, A novel ant algorithm for solving the minimum broadcast time problem, in Eighth International Conference on Parallel Problem Solving from Nature (PPSN 8), X. Yao, E. Burke, J. A. Lozano, J. Smith, J. J. Merelo-Guervos, J. A. Bullinaria, J. Rowe, P. Tino, A. Kaban, and H. -P. Schwefel, Eds. 2004, vol. 3242 of Lecture Notes in Computer Science, pp. 501-510, Springer-Verlag, Berlin.
  4. C. Teuscher and M. Sipper, Hypercomputation: Hype or computation?, Communications of the ACM, vol. 45, no. 8, pp. 23-24, August 2002.
  5. E. M. A. Ronald and M. Sipper, Intelligence is not enough: On the socialization of talking machines, Minds and Machines, vol. 11, no. 4, pp. 567-576, November 2001.
  6. E. M. A. Ronald and M. Sipper, What use is a Turing chatterbox?, Communications of the ACM, vol. 43, no. 10, pp. 21-23, October 2000.
  7. E. M. A. Ronald and M. Sipper, The challenge of tamperproof internet computing, IEEE Computer, vol. 33, no. 9, pp. 98-99, September 2000.   
  8. E. M. A. Ronald and M. Sipper, Why must computers make us feel blue, see red, turn white, and black out?, IEEE Spectrum, vol. 36, no. 9, pp. 28-31, September 1999.   

Neural Networks

  1. I. Meilijson, E. Ruppin, and M. Sipper, Fast computation in Hamming and Hopfield networks, in Algorithms and Architectures, C. T. Leondes, Ed., vol. 1 of Neural Network Systems Techniques and Applications, pp. 123-154. Academic Press, New York, 1998.
  2. I. Meilijson, E. Ruppin, and M. Sipper, A single-iteration threshold Hamming network, IEEE Transactions on Neural Networks, vol. 6, no. 1, pp. 261-266, January 1995.   
  3. M. Sipper and Y. Yeshurun, Cost-performance evaluation of analog neural networks and high order networks, Neurocomputing, vol. 6, no. 3, pp. 291-303, 1994.
  4. M. Sipper, A serial complexity measure of neural networks, in IEEE International Conference on Neural Networks, San Francisco, California, March 1993, vol. 2, pp. 962-966.
  5. I. Meilijson, E. Ruppin, and M. Sipper, Single-iteration threshold Hamming networks, in NIPS-5: Neural Information Processing Systems 5, S. J. Hanson, J. D. Cowan, and C. L. Giles, Eds. December 1992, pp. 564-571, Morgan Kaufmann Publishers, Inc.
  6. M. Sipper and Y. Yeshurun, Pattern classification using teurons, in 10th International Conference on Pattern Recognition, Atlantic City, N.J, June 1990, vol. 1, pp. 433-437, IEEE Computer Society Press.

Robotics

  1. S. Sharabi and M. Sipper, GP-Sumo: Using genetic programming to evolve sumobots, Genetic Programming and Evolvable Machines, vol. 7, no. 3, pp. 211-230, October 2006.
  2. M. Sipper, On the origin of environments by means of natural selection, AI Magazine, vol. 22, no. 4, pp. 133-140, Winter 2001.      
  3. C. Teuscher, E. Sanchez, and M. Sipper, Romero's odyssey to Santa Fe: From simulation to real life, in Robotic and Manufacturing Systems: Recent Results in Research, Development and Applications, M. Jamshidi, A. A. Maciejewski, R. Lumia, and S. Nahavandi, Eds. 2000, vol. 10 of TSI Press Series: Proceedings of the World Automation Congress, pp. 262-267, TSI Press, Albuquerque, NM.

Self-Replication

  1. A. Stauffer and M. Sipper, Interactive self-replicating, self-incrementing and self-decrementing loops, in Artificial Life VIII: Proceedings of the 8th International Conference on the Simulation and Synthesis of Living Systems, R. K. Standish, M. A. Bedau, and H. A. Abbass, Eds. 2003, pp. 53-56, The MIT Press, Cambridge, Massachusetts.
  2. A. Stauffer and M. Sipper, Emergence of self-replicating loops in an interactive, hardware-implemented Game-of-Life environment, Proceedings of Fifth International Conference on Cellular Automata for Research and Industry (ACRI 2002), S. Bandini, B. Chopard, and M. Tomassini, Eds. 2002, vol. 2493 of Lecture Notes in Computer Science, pp. 123-131, Springer-Verlag, Berlin.
  3. A. Stauffer and M. Sipper, An interactive self-replicator implemented in hardware, Artificial Life, vol. 8, no. 2, pp. 175-183, Spring 2002.
  4. M. Sipper and J. A. Reggia, Roboter, die sich selbst vermehren, Spektrum der Wissenschaft, pp. 26-33, April 2002.
  5. A. Stauffer and M. Sipper, Externally controllable and destructible self-replicating loops, in Advances in Artificial Life: Proceedings of the 6th European Conference on Artificial Life (ECAL 2001), J. Kelemen and P. Sosik, Eds. 2001, vol. 2159 of Lecture Notes in Artificial Intelligence, pp. 282-291, Springer-Verlag, Heidelberg.
  6. M. Sipper and J. A. Reggia, Go forth and replicate, Scientific American, vol. 285, no. 2, pp. 26-35, August 2001.
  7. H. F. Restrepo, D. Mange, and M. Sipper, A self-replicating universal Turing machine: From von Neumann's dream to new embryonic circuits, in Artificial Life VII: Proceedings of the Seventh International Conference on Artificial Life, M. A. Bedau, J. S. McCaskill, N. H. Packard, and S. Rasmussen, Eds. 2000, pp. 3-12, The MIT Press, Cambridge, Massachusetts.
  8. M. Sipper, Fifty years of research on self-replication: An overview, Artificial Life, vol. 4, no. 3, pp. 237-257, Summer 1998.
  9. D. Mange and M. Sipper, Von neumann's quintessential message: Genotype + ribotype = phenotype, Artificial Life, vol. 4, no. 3, pp. 225-227, Summer 1998.
  10. J.-Y. Perrier, M. Sipper, and J. Zahnd, Toward a viable, self-reproducing universal computer, Physica D, vol. 97, pp. 335-352, 1996.