Amos, M, Gainer, P., Gwynne, S. & Templeton, A. (2024) A dynamic state-based model of crowds. Safety Science 175:106522.
doi:10.1016/j.ssci.2024.106522.
Baig, K., Amos, M, Gwynne, S., Benichou, N. & Kinateder, M. (2024) Empirical evolution of an evacuation reporting template.
Safety Science 175:106496. doi:10.1016/j.ssci.2024.106496.
Peake, J., Amos, M., Costen, N., Masala, G. & LLoyd, H. (2022) PACO-VMP: Parallel Ant Colony Optimization for
Virtual Machine Placement. Future Generation Computer Systems 129, 174-186. doi:10.1016/j.future.2021.11.019.
Lloyd, H., Crossley, M., Sinclair, M. & Amos, M. (2022) J-POP: Japanese Puzzles as optimization problems.
IEEE Transactions on Games 14:3, 391-402. doi: 10.1109/TG.2021.3081817.
Amos, M. & Webster, J. (2022) Crowd-sourced identification of characteristics
of collective human motion. Artificial Life 28, 401-422. doi:10.1162/artl_a_00381.
Kinateder, M., Ma, C., Gwynne, S., Amos, M. & Benichou, N. (2021) Where drills differ from evacuations: A case study on Canadian
buildings. Safety Science 135, 105114. doi:10.1016/j.ssci.2020.105114.
Webster, J. & Amos, M. (2021) Identification of lifelike characteristics of human crowds through a classification task. Proc. Conference on Artificial Life (ALIFE2021), Prague, Czech Republic, Jul. 19-23 2021, MIT Press. doi:10.1162/isal_a_00360.
Amos, M. & Webster, J. (2021) How can we improve realism in crowd simulations? SFPE Europe 22.
Webster, J. & Amos, M. (2020) A Turing test for crowds. Royal Society Open Science 7:200307. doi: 10.1098/rsos.200307.
Gwynne, S., Amos, M., Kinateder, M., Benichou, N., Boyce, K., van der Wal, C.N. & Ronchi, E. (2020) The future of evacuation drills: assessing and
enhancing evacuee performance. Safety Science 129. doi: 10.1016/j.ssci.2020.104767.
Lloyd, H. & Amos, M. (2020) Solving Sudoku with Ant Colony Optimization. IEEE Transactions on Games 12:3, p.p. 302-311.
doi: 10.1109/TG.2019.2942773.
Grozinger, L., Amos, M., Gorochowski, T., Carbonell, P., Oyarzún, D., Stoof, R., Fellermann, H., Zuliani, P., Tas, H. & Goñi-Moreno, A. (2019) Pathways
to cellular supremacy in biocomputing. Nature Communications 10. doi: 10.1038/s41467-019-13232-z.
Amos, M., Benichou, N., Gwynne, S. & Kinateder, M. (2019) NEED: Networking Activities for Enhanced Evacuation Drills - Roadmap for Enhanced Evacuation Drills.
National Research Council of Canada Report A1-015092.1. doi: 10.4224/40001242.
Goñi-Moreno, A., de la Cruz, F., Rodriguez-Paton, A., & Amos, M. (2019) Dynamical task switching in cellular
computers. Life 9(1), 14. doi: 10.3390/life9010014.
Adrian, J., Amos, M., Baratchi, M., et al. (2019) A glossary for research on human crowd dynamics.
Collective Dynamics 4, pp. 1-13. doi: 10.17815/CD.2019.19.
Peake, J., Amos, M., Yiapanis, P. & Lloyd, H. (2019) Scaling techniques for parallel Ant Colony Optimization on large problem instances. Proc.
Genetic and Evolutionary Computation Conference (GECCO), Prague, July 13th-17th 2019, pp. 47-54. doi: 10.1145/3321707.3321832.
Amos, M., Crossley, M. & Lloyd, H. (2019) Solving Nurikabe using Ant Colony Optimization. Genetic and Evolutionary Computation Conference (GECCO) Companion, Prague,
July 13th-17th 2019, pp. 129-130. doi: 10.1145/3319619.3338470.
(An extended version of this paper, containing further details of the algorithm and experimental results, is available
here, but the GECCO paper is the "official" version.)
Eliot, N., Kendall, D., Moon, A., Brockway, M. & Amos, M. (2019) Void reduction in self-healing swarms. Proc. Conference on Artificial Life (ALIFE), Newcastle upon Tyne,
July 29-August 2 2019, pp. 87-94. doi: 10.1162/isal_a_00146.
Carolan, K., Verran, J., Crossley, M., Redfern, J., Whitton, N. & Amos, M. (2018).
Impact of educational interventions on adolescent
attitudes and knowledge regarding vaccination: a pilot study. PLOS ONE 13(1): e0190984. doi: 10.1371/journal.pone.0190984.
Carolan, K., Verran, J., Amos, M., Crossley, M., Redfern, J., Whitton, N. & Louttit, D. (2018).
SimFection: A digital resource for vaccination education. Journal of Biological Education,
doi: 10.1080/00219266.2018.1469534.
Peake, J., Amos, M., Yiapanis, P. & Lloyd, H. (2018).
Vectorized candidate selection for parallel ant colony optimization.
Proc. Genetic and Evolutionary Computation Conference Companion (GECCO '18), July 15-19 2018, Kyoto, Japan,
pp. 1300-1306. doi: 10.1145/3205651.3208274.
Stepney, S., Rasmussen, S. & Amos, M. (Eds.) (2018).
Computational Matter. doi:10.1007/978-3-319-65826-1, ISBN (print) 978-3-319-65824-7, Springer.
Amos, M. & Goñi-Moreno, A. (2018). Cellular Computing and Synthetic Biology. In Computational Matter,
Stepney, S., Rasmussen, S. & Amos, M. (Eds.), pp. 93-110. doi: 10.1007/978-3-319-65826-1_7, Springer.
Amos, M. & Condon, A. (Eds.) (2018). Special issue of Natural Computing, dedicated to UCNC 2016 (Preface).
Lloyd, H. & Amos, M. (2017). Analysis of independent roulette selection in parallel ant colony optimization.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '17), July 15-19 2017, Berlin, Germany, pp. 19-26. doi: 10.1145/3071178.3071308.
(nominated for a Best Paper Award).
Richards, D. & Amos, M. (2016c). Shape optimization with surface-mapped CPPNs. IEEE Transactions
on Evolutionary Computation 21:3, 391-407. doi: 10.1109/TEVC.2016.2606040.
Goñi-Moreno, A, Carcajona, M., Kim, J., Martinez-García, E., Amos, M. & de Lorenzo, V. (2016).
An implementation-focused bio/algorithmic workflow for synthetic biology. ACS Synthetic Biology 5:10, 1127-1135. doi: 10.1021/acssynbio.6b00029.
LLanes, A., Cecilia, J., Sanchez, A., Garcia, J.M., Amos, M. & Ujaldon, M. (2016). Dynamic load balancing
on heterogenous clusters for parallel ant colony optimization. Cluster Computing 19:1, 1-11.
doi: 10.1007/s10586-016-0534-4.
LLoyd, H. & Amos, M. (2016). A highly parallelized and vectorized implementation of Max-Min Ant System on Intel Xeon Phi.
IEEE Symposium Series on Computational Intelligence (SSCI), December 6-9 2016, Athens, Greece. doi: 10.1109/SSCI.2016.7850085.
Richards, D. & Amos, M. (2016b). Regulatory representations in architectural design.
In Iba, H. & Noman, N. (Eds.),
Evolutionary Computation in Gene
Regulatory Network Research, pp. 362-397, Wiley.
Richards, D. & Amos, M. (2016a). Encoding multi-materiality. In Grigoriadis, K. (Ed.), Mixed Matter: A Multi-Material Design Compendium, pp. 40-49, Jovis.
Amos, M. & Condon, E. (Eds.) (2016). Unconventional Computation and Natural Computation: 15th International Conference (UCNC 2016), Manchester, UK, July 11-15, 2016, Proceedings. Lecture Notes in Computer Science (LNCS) Vol. 9726, Springer.
Amos, M., Axmann, I., Bluethgen, N., de la Cruz, F., Jaramillo, A., Rodriguez-Paton, A. & Simmel, F. (2015). Bacterial computing with engineered populations.
Philosophical Transactions of the Royal Society A 373:2046. doi: 10.1098/rsta.2014.0218.
Goñi-Moreno, A. & Amos, M. (2015). DiSCUS: A simulation platform for conjugation computing.
In Calude, C.S. & Dineen, M.J. (Eds), Unconventional and Natural Computation (UCNC 2015), Auckland, New Zealand, August 31-September 4, 2015. Springer, p.p. 181-191.
Amos, M., Rasmussen, S., McCaskill, J. & Dittrich, P. (Eds.) (2015). Special issue of Artificial Life, dedicated to the Second Workshop on Biological and Chemical Computing (BioChemIT), Volume 21: 1-2 (Editorial).
Amos, M. (Ed.) (2015). Special issue of International Journal of Unconventional Computing 11:1 (Editorial).
Guerrero, G.D., Cecilia, J.M., Llanes, A., Garcia, J.M.,
Amos, M. & Ujaldon, M. (2014)
Comparative evaluation of platforms for parallel Ant Colony
Optimization. Journal of Supercomputing 69:1, 318-329. doi: 10.1007/s11227-014-1154-5.
Amos, M. (2014)
Population-based microbial computing: A third wave of synthetic biology? International Journal of General Systems 43:7, 770-782. doi:10.1080/03081079.2014.921001.
Richards, D. & Amos, M. (2014a)
Evolving morphologies with CPPN-NEAT and a dynamic substrate. In
Proceedings of ALIFE 14, the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, July 30-August 2, 2014, New York, USA.
Edited by Hiroki Sayama, John Rieffel, Sebastian Risi, René Doursat and Hod Lipson, p.p. 255-262, MIT Press. doi: 10.7551/978-0-262-32621-6-ch042.
Richards, D. & Amos, M. (2014b)
Designing with gradients: bio-inspired computation for digital fabrication. In Proceedings of
the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA 14: Design Agency), October 23-25, 2014,
University of Southern California, Los Angeles, USA, p.p. 101-110.
Verran, J., Crossley, M., Carolan, K., Jacobs, N. & Amos, M. (2013)
Monsters, microbiology and mathematics: the epidemiology of a zombie apocalypse. Journal of Biological Education 48:2, 98-104. doi: 10.1080/00219266.2013.849283.
Dorrian, H., Borresen, J. & Amos, M. (2013)
Community structure and multi-modal oscillations in complex networks.
PLOS ONE 8(10): e75569. doi: 10.1371/journal.pone.0075569.
Goñi-Moreno, A., Amos, M. & de la Cruz, F. (2013)
Multicellular computation using conjugation for wiring.
PLOS ONE 8(6): e65986. doi:10.1371/journal.pone.0065986.
Cecilia, J.M., Nisbet, A., Amos, M., Garcia, J.M. & Ujaldon, M. (2013) Enhancing GPU parallelism in
nature-inspired algorithms. Journal of Supercomputing 63:3, p.p. 773-789. doi:10.1007/s11227-012-0770-1.
Cecilia, J.M., Garcia, J.M., Nisbet, A., Amos, M. & Ujaldon, M. (2013) Enhancing data
parallelism for ant colony optimisation on GPUs. Journal of Parallel and
Distributed Computing 73:1, p.p. 42-51. doi:10.1016/j.jpdc.2012.01.002.
Crossley, M., Nisbet, A. & Amos, M. (2013)
Quantifying the impact of parameter tuning on nature-inspired algorithms.
In Advances in Artificial Life, ECAL2013,
September 2-6, 2013, Taormina, Italy, p.p. 925-932. MIT Press.doi: 10.7551/978-0-262-31709-2-ch138
Crossley, M., Nisbet, A. & Amos, M. (2013) Fitness landscape-based characterisation of nature-inspired algorithms.
In Proceedings of the 11th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA’13),
Lausanne, Switzerland, April 4-6, 2013. Tomassini, M., Antonioni, A., Daolio, F. & Buesser, P. (Eds.) Lecture
Notes in Computer Science (LNCS), Volume 7824, p.p. 110-119, Springer.
Goñi-Moreno, A. & Amos, M. (2012a) A reconfigurable NAND/NOR genetic logic gate.
BMC Systems Biology 6:126. doi:10.1186/1752-0509-6-126.
Goñi-Moreno, A. & Amos, M. (2012) Continuous computation in engineered gene circuits.
BioSystems 109:1, p.p. 52-56. doi: 10.1016/j.biosystems.2012.02.001.
Houston, R., White, J. & Amos, M. (2012) Zen Puzzle Garden is NP-complete.
Information Processing Letters 112:3, p.p. 106-108. doi:10.1016/j.ipl.2011.10.016.
Amos, M. & Coldridge, J. (2012) A genetic algorithm for the Zen Puzzle Garden game.
Natural Computing 11:3, p.p. 353-359. doi:10.1007/s11047-011-9284-7.
Amos, M., Stepney, S., Doursat, R., Vico, F.J. & Rasmussen, S. (2012) TRUCE: A coordination action
for unconventional computation. International Journal of Unconventional Computing 8:4,
p.p., 333-337.
Richards, D., Dunn, N. & Amos, M. (2012) An evo-devo approach to architectural design.
Proc. Genetic and Evolutionary Computation Conference (GECCO), July 7-11 2012, Philadelphia, USA, p.p.
569-576. ACM Press.
Amos, M. & Dittrich, P. (Eds.) (2012) Special issue of BioSystems 109:1, p.p. 1-86, dedicated to the COBRA Workshop on Biological and Chemical Information Technologies (BioChemIT), European Conference on Artificial Life, Paris, France, August 8 2011. Editorial: 10.1016/j.biosystems.2012.05.008.
Jacobs, N. & Amos, M. (2012) NanoInfoBio: A case-study in interdisciplinary research. In
Kettunen, J., Hyrkkanen, U. & Lehto, A. (Eds.)
Applied Research and Professional Education, p.p. 289-309. Turku University of Applied
Sciences.
Amos, M., Calow, A., Jacobs, N., Jung, H.Y., Linton, T. & Verran, J. (2012) Manchester DIYbio. In Bowater, L. & Yeoman, K., Science Communication: A Practical Guide for Scientists, p.p. 250-251, Wiley-Blackwell.
Amos, M. (2012) Bacterial computing.
In Computational Complexity: Theory, Techniques and Applications, Robert A. Meyers (Ed.), p.p. 228-237, Springer New York. doi: 10.1007/978-1-4614-1800-9_15.
(Originally appeared in Encyclopedia of Complexity and Systems Science, 2009).
Amos, M. (2012a) DNA computing. In Computational Complexity: Theory, Techniques and Applications,
Robert A. Meyers (Ed.), p.p. 882-896, Springer New York. doi: 10.1007/978-1-4614-1800-9_57.(Originally appeared in Encyclopedia of Complexity and Systems Science, 2009).
Harding, P., Gwynne, S. & Amos, M. (2011) Mutual information for the detection of crush.
PLOS ONE 6(12): e28747. doi:10.1371/journal.pone.0028747.
Amos, M., Dittrich, P., McCaskill, J. & Rasmussen, S. (2011) Biological and chemical information
technologies. Procedia Computer Science 7, p.p. 56-60. doi:10.1016/j.procs.2011.12.019.
Goñi-Moreno, A. & Amos, M. (2011) Model for a population-based microbial oscillator. BioSystems
105:3, p.p. p.p.286-294. doi:10.1016/j.biosystems.2011.05.011.
Crossley, M. & Amos, M. (2011) SimZombie: a case-study in agent-based simulation construction.
In Agent and Multi-Agent Systems: Technologies and Applications,
Lecture Notes in Artificial Intelligence (LNAI) Vol. 6682, Springer, 2011, p.p. 514-523. doi:10.1007/978-3-642-22000-5_53.
Cecilia, J.M., Garcia, J.M, Ujaldon, M., Nisbet, A. & Amos, M. (2011) Parallelization strategies for ant colony optimization
on GPUs. Proceedings of the 25th IEEE/ACM International Parallel and Distributed Processing Symposium (IPDPS 2011),
Anchorage, Alaska, USA, 16-20 May 2011, p.p. 334-341.
Amos, M. & the BACTOCOM consortium (2011). BACTOCOM: Bacterial computing with engineered populations. ERCIM News 85,
p.p. 38-39.
Gibbons, A. & Amos, M. (2010) Wave propagation in filamental cellular automata.
International Journal of Natural Computing Research 1:1, p.p. 56-69.
doi: 10.4018/jncr.2010010103.
Harding, P.J., Amos, M. & Gwynne, S. (2010) Prediction and mitigation of crush conditions
in emergency evacuations. Pedestrian and Evacuation Dynamics 2008, Klingsch, W.W.F., Rogsch, C.,
Schadschneider, A. and Schreckenberg, M. (Eds.), p.p. 233-246, Springer. doi: 10.1007/978-3-642-04504-2_18.
Goñi-Moreno, A. & Amos, M. (2010) Engineered microbial communication for population-level behaviour (abstract). Artificial Life XII:
Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, Odense,
Denmark, 19-23 August 2010, Harold Fellermann, Mark Dörr, Martin M. Hanczyc, Lone Ladegaard Laursen,
Sarah Maurer, Daniel Merkle, Pierre-Alain Monnard, Kasper Stoy and Steen Rasmussen (Eds.), p.p. 184-185,
MIT Press.
Coldridge, J. & Amos, M. (2010) Genetic algorithms and the art of Zen. Proceedings of the
IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA),
p.p. 1417-1423. doi: 10.1109/BICTA.2010.5645284.
Shasha, D. & Amos, M. (2009) DNA hash pooling and its applications.
International Journal of Nanotechnology and Molecular Computation 1:1, p.p. 18-32.
Amos, M. (2009) Bacterial computing.
Encyclopedia of Complexity and Systems Science, Robert A. Meyers (Ed.), Part 2, p.p. 417-426, Springer New York. doi: 10.1007/978-0-387-30440-3_28.
.
Amos, M. (2009a) DNA computing. Encyclopedia of Complexity and Systems Science,
Robert A. Meyers (Ed.), Part 4, p.p. 2089-2104, Springer New York. doi:10.1007/978-0-387-30440-3_131
Amos, M. & Don, O. (2008) Swarm-based spatial sorting.
International Journal of Intelligent Computing and Cybernetics 1:3, p.p. 454-473. doi: 10.1108/17563780810893491.
Xiao, R-B., Xu, Y-C. & Amos, M. (2007) Two hybrid compaction algorithms for the layout optimization problem.
BioSystems 90:2, p.p. 560--567. doi: 10.1016/j.biosystems.2006.12.007.
Amos, M., Hodgson, D.A. & Gibbons, A. (2007) Bacterial self-organisation and computation.
International Journal of Unconventional Computing 3:3, p.p. 199--210.
Amos, M. & Don, O. (2007) An ant-based algorithm for annular sorting.
Proc. IEEE Congress on Evolutionary Computation (CEC'07), Singapore, September 25-28, 2007, p.p.
142-148, IEEE Press.
Xu, Y-C., Xiao, R-B. & Amos, M. (2007) A novel genetic algorithm for the layout
optimization problem. Proc. IEEE Congress on Evolutionary Computation (CEC'07), Singapore,
September 25-28, 2007, p.p. 3938-3942, IEEE Press.
Xu, Y-C., Xiao, R-B. & Amos, M. (2007a) Particle swarm algorithm for weighted rectangle
placement. Proc. Third International Conference on Natural Computation (ICNC'07), Haikou, China,
August 24-27, 2007, Volume 4, p.p. 728-732, IEEE Press.
Timmis, J., Amos, M., Banzhaf, W. & Tyrrell, A. (2006) "Going back to our roots":
Second generation biocomputing. International Journal of Unconventional Computing 2:4,
p.p. 349-378.
Amos, M. (2005) Theoretical and Experimental DNA Computation.
Research monograph in the Natural Computing Series, Springer, ISBN 3-540-65773-8.
Amos, M. & Hodgson, D.A. (Eds.) (2005) Selected papers from the First
International Symposium on Cellular Computing. Special issue of Natural Computing
4:4, p.p. 293-451.
Amos, M. (2005a) Cellular computing. Proc. Montpellier Spring School on Modelling Complex Biological Systems in the Context of Genomics, P. Amar, F. Kepes, F. Molina & V. Norris (Eds.), p.p. 3-6, ISBN 2-86883-947-9.
Amos, M. (Ed.) (2004) Cellular Computing. Series in Systems Biology, Oxford University Press, ISBN 0195155394.
Sant, P. & Amos, M. (2004) Models of recombination in ciliates. In
Computation in Cells and Tissues: Perspectives and Tools of Thought, Paton, R., Bolouri, H., Holcombe, M.,
Parish, J. H., Tateson, R. (Eds.). Collected volume in the
Natural Computing Series,
Springer-Verlag, ISBN 3-540-00358-4, p.p. 269-276.
Amos, M. & Owenson, G. (2004) An introduction to cellular computing. In Cellular Computing,
Amos, M. (Ed.), p.p. 1-10, Oxford University Press.
Hodgson, D.A., Owenson, G., Amos, M. & Gibbons, A. (2003) Towards molecular computation. Electronics Information and Planning 31:7-8, p.p. 159-165.
Amos, M., Paun, G., Rozenberg, G. & Salomaa, A. (2002) Topics in the theory of DNA computing.
Theoretical Computer Science 287:1, 3-38. doi: 10.1016/S0304-3975(02)00134-2.
Amos, M. (2002) Molecular computing.
In
Macmillan's Computer Sciences Encyclopedia, Volume 4, Roger Flynn (Ed.),
p.p. 167-168, Macmillan Reference USA.
Owenson, G.G., Amos, M., Hodgson, D.A. & Gibbons, A. (2001) DNA-based logic. Soft Computing
5:2, 102-105. doi: 10.1007/s005000000073.
Amos, M. (2001) Theoretical and experimental DNA computation. In Current Trends in
Theoretical Computer Science - Entering the 21st Century, Gheorge Paun, Grzegorz Rozenberg & Arto Salomaa
(Eds.), p.p. 614--630, World Scientific Publishing, Singapore, ISBN 981-02-4473-8.
Amos, M. & Owenson, G.G. (2000)
Cellular computing.
ERCIM News 43, p.p. 36-37, October 2000.
Amos, M., Sant, P. & Gibbons, A. (2000) Report on the Sixth International Meeting on DNA Based
Computers, Leiden, The Netherlands, 13-17 June 2000. Bulletin of the EATCS 72, 213-214.
Amos, M. & Dunne, P.E. (2000) Report on the Sixteenth Annual Meeting of the British Colloquium for Theoretical Computer Science (BCTCS16), 10-12 April 2000 Liverpool, United Kingdom. Bulletin of the EATCS 72, 203-213.
Owenson, G.G., Amos, M., Hodgson, D.A. & Gibbons, A. (1999) Molecular implementation of
computational components. Proc. Congress on Evolutionary Computation (CEC99), Washington D.C.,
USA, 6-9 July 1999, p.p. 967-971, IEEE.
Amos, M. (1999) Review of DNA Based Computers III,
Harvey Rubin & David Harlan Wood (Eds.). ACM SIGACT News 30:4, 10-12.
Amos, M., Gibbons, A. & Dunne, P.E. (1998) Toward feasible and efficient DNA computation.
Complexity
4:1, 14-18.
Amos, M., Dunne, P.E. & Gibbons, A. (1998) DNA simulation of Boolean circuits.
Genetic Programming 1998: Proc. Third Annual Conference, July 22-25, 1998, University of Wisconsin,
Madison, Wisconsin. Koza, John R., Banzhaf, Wolfgang, Chellapilla, Kumar, Deb, Kalyanmoy, Dorigo, Marco, Fogel,
David B., Garzon, Max H., Goldberg, David E., Iba, Hitoshi, & Riolo, Rick. (editors), p.p. 679-683,
San Francisco, CA: Morgan Kaufmann.
Amos, M., Wilson, S., Hodgson, D.A., Owenson, G. & Gibbons, A. (1998) Practical implementation of DNA
computations. Proc. First International Conference on Unconventional Models of Computation, 5-11 January 1998,
Auckland, New Zealand. Discrete Mathematics & Theoretical Computer Science, C.S. Calude, J. Casti & M.J.
Dinneen (Eds.), p.p. 1-18, Springer-Verlag, Singapore.
Dunne, P.E., Amos, M. & Gibbons, A. (1998) Boolean transitive closure in DNA.
In Computing with Bio-Molecules: Theory and Experiments, George Paun (Ed.), p.p. 127-137, Springer-Verlag,
Singapore.
Amos, M. & Kari, L. (1998) Report on the Ongoing Workshop on DNA Computing, June 29 - July 3 1998, Leiden, The Netherlands. Bulletin of the EATCS 66, 203-204.
Gibbons, A., Amos, M. & Hodgson, D. (1997) DNA computing. Current Opinion in Biotechnology
8:1, 103-106.
Amos, M., Gibbons, A. & Dunne, P.E. (1997)
The complexity and viability of DNA
computations. Proc. Bio-computing and Emergent Computation (BCEC97), University of Skovde,
Sweden, 1-2 Sep. 1997. Lundh, Olsson & Narayanan (Eds.) p.p. 165-173, World Scientific.
Devine, P., Paton, R. & Amos, M. (1997)
Adaptation of evolutionary agents in
computational ecologies. Proc. Bio-computing and Emergent Computation (BCEC97), University of
Skovde, Sweden, 1-2 Sep. 1997. Lundh, Olsson & Narayanan (Eds.) p.p. 66-75, World Scientific.
Amos, M. (1997) DNA Computation. Thesis submitted to the University of Warwick, UK,
for the degree of Doctor of Philosophy. Defended on August 6th, 1997. Conferred on 30th September, 1997.
Gibbons, A., Amos, M. & David Hodgson (1996) Models of DNA computation.
Proc. Mathematical Foundations of Computer Science (MFCS), Cracow, Poland, 1996. Lecture Notes in
Computer Science 1113, Penczek & Szalas (Eds.) p.p. 18-36, Springer-Verlag.
Amos, M., Gibbons, A. & David Hodgson (1996)
Error-resistant implementation of DNA computations.
Proc. Second Annual Meeting on DNA Based Computers,
Princeton, NJ. DIMACS Series in Discrete Mathematics and Theoretical Computer Science. pp 151-162,
Providence, RI: American Mathematical Society.
Zito, M., Pu, I., Amos, M. & Gibbons, A. (1996)
RNC algorithms for the uniform generation
of combinatorial structures. Proc. Seventh Annual ACM-SIAM Symposium on Discrete Algorithms
(SODA '96).
Amos, M. (1996) A new model of DNA computation. 12th British Colloquium on Theoretical Computer Science (BCTCS), University of Kent, UK, 1-4 Apr. 1996. Abstract in Bulletin of the EATCS 61.
Pu, I., Zito, M., Amos, M. & Gibbons, A. (1995) NC and RNC algorithms for the uniform generation of paths and trees in graphs. 11th British Colloquium on Theoretical Computer Science (BCTCS), University of Swansea, UK, 3-5 April, 1995. Abstract in Bulletin of the EATCS 58.
Amos, M., Ravindran, S. & Gibbons, A. (1994) On the analysis of genetic algorithms. 10th British Colloquium on Theoretical Computer Science (BCTCS), Bristol, UK, 28-30 Mar. 1994. Abstract in Bulletin of the EATCS 54.
