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Books and Theses
- 2020
[b2]Larry Bull:
The Evolution of Complexity - Simple Simulations of Major Innovations. Springer 2020, ISBN 978-3-030-40729-2, pp. 1-74- 1995
- [b1]Larry Bull:
Artificial symbiology : evolution in cooperative multi-agent environments. University of the West of England, Bristol, UK, 1995
Journal Articles
- 2024
- [j90]Larry Bull
, Haixia Liu:
On Cooperative Coevolution and Global Crossover. IEEE Trans. Evol. Comput. 28(2): 558-561 (2024) - 2023
- [j89]Larry Bull, Haixia Liu:
A Generalised Dropout Mechanism for Distributed Systems. Artif. Life 29(2): 146-152 (2023) - [j88]Larry Bull:
Evolving Multi-valued Regulatory Networks on Tunable Fitness Landscapes. Complex Syst. 32(3): 289-307 (2023) - 2022
- [j87]Larry Bull:
Nonbinary Representations in the NK and NKCS Models. Complex Syst. 31(1): 87-101 (2022) - 2021
- [j86]Larry Bull:
On the Emergence of Intersexual Selection: Arbitrary Trait Preference Improves Female-Male Coevolution. Artif. Life 27(1): 15-25 (2021) - [j85]Larry Bull:
Are Artificial Dendrites Useful in Neuro-Evolution? Artif. Life 27(2): 75-79 (2021) - [j84]Larry Bull:
On coevolution: Asymmetry in the NKCS model. Biosyst. 207: 104469 (2021) - [j83]Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz:
Evolutionary Algorithms Designing Nanoparticle Cancer Treatments with Multiple Particle Types [Application Notes]. IEEE Comput. Intell. Mag. 16(4): 85-99 (2021) - [j82]Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz:
In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times. Comput. Methods Programs Biomed. 200: 105886 (2021) - [j81]Richard John Preen, Stewart W. Wilson, Larry Bull:
Autoencoding With a Classifier System. IEEE Trans. Evol. Comput. 25(6): 1079-1090 (2021) - 2020
- [j80]Larry Bull:
Exploring distributed control with the NK model. Int. J. Parallel Emergent Distributed Syst. 35(4): 413-422 (2020) - 2019
- [j79]Richard John Preen, Larry Bull, Andrew Adamatzky:
Towards an evolvable cancer treatment simulator. Biosyst. 182: 1-7 (2019) - [j78]Richard John Preen, Jiseon You, Larry Bull, Ioannis A. Ieropoulos:
Design mining microbial fuel cell cascades. Soft Comput. 23(13): 4673-4683 (2019) - 2017
- [j77]Richard John Preen, Larry Bull:
On Design Mining: Coevolution and Surrogate Models. Artif. Life 23(2): 186-205 (2017) - [j76]Larry Bull:
The Evolution of Sex through the Baldwin Effect. Artif. Life 23(4) (2017) - 2016
- [j75]Larry Bull:
On Cellular Darwinism: Mitochondria. Artif. Life 22(1): 112-118 (2016) - [j74]Richard John Preen, Larry Bull:
Design Mining Interacting Wind Turbines. Evol. Comput. 24(1): 89-111 (2016) - [j73]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. Neural Process. Lett. 44(1): 125-147 (2016) - [j72]Larry Bull:
On the evolution of Boolean networks for computation: a guide RNA mechanism. Int. J. Parallel Emergent Distributed Syst. 31(2): 101-113 (2016) - 2015
- [j71]Mehmet Dinçer Erbas, Larry Bull, Alan F. T. Winfield:
On the Evolution of Behaviors through Embodied Imitation. Artif. Life 21(2): 141-165 (2015) - [j70]Gerard David Howard, Larry Bull, Ben de Lacy Costello:
Evolving unipolar memristor spiking neural networks. Connect. Sci. 27(4): 397-416 (2015) - [j69]Larry Bull:
A brief history of learning classifier systems: from CS-1 to XCS and its variants. Evol. Intell. 8(2-3): 55-70 (2015) - [j68]Richard John Preen, Larry Bull:
Toward the Coevolution of Novel Vertical-Axis Wind Turbines. IEEE Trans. Evol. Comput. 19(2): 284-294 (2015) - 2014
- [j67]Mehmet Dinçer Erbas, Alan F. T. Winfield, Larry Bull:
Embodied imitation-enhanced reinforcement learning in multi-agent systems. Adapt. Behav. 22(1): 31-50 (2014) - [j66]Larry Bull:
Evolving Functional and Structural Dynamism in Coupled Boolean Networks. Artif. Life 20(4): 441-455 (2014) - [j65]Larry Bull:
Evolving Boolean regulatory networks with epigenetic control. Biosyst. 116: 36-42 (2014) - [j64]Gerard David Howard, Larry Bull, Ben de Lacy Costello, Ella Gale, Andrew Adamatzky:
Evolving Spiking Networks with Variable Resistive Memories. Evol. Comput. 22(1): 79-103 (2014) - [j63]Larry Bull:
Foreword. Evol. Intell. 7(1): 1 (2014) - [j62]Larry Bull:
Foreword. Evol. Intell. 7(3): 133 (2014) - [j61]Richard John Preen, Larry Bull:
Towards the evolution of vertical-axis wind turbines using supershapes. Evol. Intell. 7(3): 155-167 (2014) - [j60]Faten F. Kharbat, Mohammed Odeh, Larry Bull:
A new hybrid architecture for the discovery and compaction of knowledge: breast cancer datasets case study. Int. Arab J. Inf. Technol. 11(2): 116-123 (2014) - [j59]Richard Preen, Larry Bull:
Discrete and fuzzy dynamical genetic programming in the XCSF learning classifier system. Soft Comput. 18(1): 153-167 (2014) - 2013
- [j58]Richard Preen, Larry Bull:
Dynamical Genetic Programming in XCSF. Evol. Comput. 21(3): 361-387 (2013) - [j57]Gerard David Howard, Larry Bull, Ben de Lacy Costello, Andrew Adamatzky, Victor Erokhin:
A SPICE Model of the PEO-Pani memristor. Int. J. Bifurc. Chaos 23(6) (2013) - [j56]Ben de Lacy Costello, Ishrat Jahan, Matt Ahearn, Julian Holley, Larry Bull, Andrew Adamatzky:
Initiation of Waves in BZ Encapsulated Vesicles Using Light - Towards Design of Computing Architectures. Int. J. Unconv. Comput. 9(3-4): 311-326 (2013) - [j55]Larry Bull:
Consideration of mobile DNA: new forms of artificial genetic regulatory networks. Nat. Comput. 12(4): 443-452 (2013) - 2012
- [j54]Larry Bull:
A Simple Computational Cell: Coupling Boolean Gene and Protein Networks. Artif. Life 18(2): 223-236 (2012) - [j53]Larry Bull:
Evolving Boolean Networks with Structural Dynamism. Artif. Life 18(4): 385-397 (2012) - [j52]Andrew Adamatzky, Julian Holley, Peter Dittrich, Jerzy Gorecki, Ben de Lacy Costello, Klaus-Peter Zauner, Larry Bull:
On architectures of circuits implemented in simulated Belousov-Zhabotinsky droplets. Biosyst. 109(1): 72-77 (2012) - [j51]Larry Bull:
Using genetical and cultural search to design unorganised machines. Evol. Intell. 5(1): 23-33 (2012) - [j50]Larry Bull:
Production system rules as protein complexes from genetic regulatory networks: an initial study. Evol. Intell. 5(2): 59-67 (2012) - [j49]Gerard David Howard, Ella Gale, Larry Bull, Ben de Lacy Costello, Andy Adamatzky:
Evolution of Plastic Learning in Spiking Networks via Memristive Connections. IEEE Trans. Evol. Comput. 16(5): 711-729 (2012) - [j48]Larry Bull:
Evolving Boolean Networks on Tunable Fitness Landscapes. IEEE Trans. Evol. Comput. 16(6): 817-828 (2012) - 2011
- [j47]Andrew Adamatzky, Ben de Lacy Costello, Larry Bull:
On Polymorphic Logical Gates in Subexcitable Chemical Medium. Int. J. Bifurc. Chaos 21(7): 1977-1986 (2011) - [j46]Julian Holley, Andrew Adamatzky, Larry Bull, Ben de Lacy Costello, Ishrat Jahan:
Computational modalities of Belousov-Zhabotinsky encapsulated vesicles. Nano Commun. Networks 2(1): 50-61 (2011) - 2010
- [j45]Larry Bull:
Artificial Symbiogenesis and Differing Reproduction Rates. Artif. Life 16(1): 65-72 (2010) - [j44]Ramón Alonso-Sanz, Larry Bull:
One-Dimensional Coupled Cellular Automata with Memory: Initial Investigations. J. Cell. Autom. 5(1-2): 29-49 (2010) - [j43]Emmanuel Sapin, Andrew Adamatzky, Pierre Collet, Larry Bull:
Stochastic automated search methods in cellular automata: the discovery of tens of thousands of glider guns. Nat. Comput. 9(3): 513-543 (2010) - 2009
- [j42]Christopher Stone, Larry Bull:
Evolution of cellular automata with memory: The Density Classification Task. Biosyst. 97(2): 108-116 (2009) - [j41]Emmanuel Sapin, Larry Bull, Andrew Adamatzky:
Genetic approaches to search for computing patterns in cellular automata. IEEE Comput. Intell. Mag. 4(3): 20-28 (2009) - [j40]Eduardo Reck Miranda, Larry Bull, François Gueguen, Ivan S. Uroukov:
Computer Music Meets Unconventional Computing: Towards Sound Synthesis with In Vitro Neuronal Networks. Comput. Music. J. 33(1): 9-18 (2009) - [j39]Andy Adamatzky, Larry Bull:
Are complex systems hard to evolve? Complex. 14(6): 15-20 (2009) - [j38]Ramón Alonso-Sanz, Larry Bull:
Elementary Cellular Automata with Minimal Memory and Random Number Generation. Complex Syst. 18(2) (2009) - [j37]Christopher Stone, Larry Bull:
Solving the Density Classification Task Using Cellular Automaton 184 with Memory. Complex Syst. 18(3) (2009) - [j36]Ramón Alonso-Sanz, Larry Bull:
On Minimally Coupled Boolean Networks. Int. J. Bifurc. Chaos 19(4): 1401-1414 (2009) - [j35]Rita Toth, Christopher Stone, Ben de Lacy Costello, Andrew Adamatzky, Larry Bull:
Simple Collision-Based Chemical Logic Gates with Adaptive Computing. Int. J. Nanotechnol. Mol. Comput. 1(3): 1-16 (2009) - [j34]Larry Bull, Pier Luca Lanzi:
Introduction to the special issue on learning classifier systems. Nat. Comput. 8(1): 1-2 (2009) - [j33]Larry Bull:
On dynamical genetic programming: simple Boolean networks in learning classifier systems. Int. J. Parallel Emergent Distributed Syst. 24(5): 421-442 (2009) - 2008
- [j32]Larry Bull, Adam Budd, Christopher Stone, Ivan S. Uroukov, Ben de Lacy Costello, Andrew Adamatzky:
Towards Unconventional Computing through Simulated Evolution: Control of Nonlinear Media by a Learning Classifier System. Artif. Life 14(2): 203-222 (2008) - [j31]Emmanuel Sapin, Larry Bull:
Evolutionary Search for Cellular Automata Logic Gates with Collision-Based Computing. Complex Syst. 17(4) (2008) - [j30]Larry Bull:
Dedication: Dr. Lawrence J. Fogel (1928-2007). Evol. Intell. 1(1): 1 (2008) - [j29]Larry Bull:
Foreword. Evol. Intell. 1(1): 3-4 (2008) - [j28]Ramón Alonso-Sanz, Larry Bull:
Boolean Networks with Memory. Int. J. Bifurc. Chaos 18(12): 3799-3814 (2008) - [j27]Adam Budd, Christopher Stone, Jonathan Masere, Andrew Adamatzky, Ben de Lacy Costello, Larry Bull:
Initial Results from the Use of Evolutionary Learning to Control Chemical Computers. Int. J. Unconv. Comput. 4(1): 13-22 (2008) - [j26]Larry Bull, Ivan S. Uroukov:
Towards Neuronal Computing: Simple Creation of Two Logic Functions in 3D Cell Cultures using Multi-Electrode Arrays. Int. J. Unconv. Comput. 4(2): 143-154 (2008) - 2007
- [j25]Matthew Studley, Larry Bull:
Using the XCS Classifier System for Multi-objective Reinforcement Learning Problems. Artif. Life 13(1): 69-86 (2007) - [j24]Faten F. Kharbat, Mohammed Odeh, Larry Bull:
New approach for extracting knowledge from the XCS learning classifier system. Int. J. Hybrid Intell. Syst. 4(2): 49-62 (2007) - [j23]Larry Bull, Andrew Adamatzky:
A Learning Classifier System Approach to the Identification of Cellular Automata. J. Cell. Autom. 2(1): 21-38 (2007) - [j22]Kreangsak Tamee, Larry Bull, Ouen Pinngern:
YCSc: A Modified Clustering Technique Based On LCS. J. Digit. Inf. Manag. 5(3): 160-166 (2007) - [j21]Anthony J. Bagnall, Gavin C. Cawley, Ian M. Whittley, Larry Bull, Matthew Studley, Mike Pettipher, Firat Tekiner:
Super Computer Heterogeneous Classifier Meta-Ensembles. Int. J. Data Warehous. Min. 3(2): 67-82 (2007) - [j20]Larry Bull, Matthew Studley, Anthony J. Bagnall, Ian M. Whittley:
Learning Classifier System Ensembles With Rule-Sharing. IEEE Trans. Evol. Comput. 11(4): 496-502 (2007) - [j19]Jorge Casillas, Brian Carse, Larry Bull:
Fuzzy-XCS: A Michigan Genetic Fuzzy System. IEEE Trans. Fuzzy Syst. 15(4): 536-550 (2007) - 2006
- [j18]Jacob Hurst, Larry Bull:
A Neural Learning Classifier System with Self-Adaptive Constructivism for Mobile Robot Control. Artif. Life 12(3): 353-380 (2006) - 2005
- [j17]Matthew Goble Smith, Larry Bull:
Genetic Programming with a Genetic Algorithm for Feature Construction and Selection. Genet. Program. Evolvable Mach. 6(3): 265-281 (2005) - 2003
- [j16]Christopher Stone, Larry Bull:
For Real! XCS with Continuous-Valued Inputs. Evol. Comput. 11(3): 298-336 (2003) - 2002
- [j15]Larry Bull, Jacob Hurst:
ZCS Redux. Evol. Comput. 10(2): 185-205 (2002) - [j14]Larry Bull, Pier Luca Lanzi, Wolfgang Stolzmann:
Learning Classifier Systems. Soft Comput. 6(3-4): 143 (2002) - [j13]Larry Bull:
On accuracy-based fitness. Soft Comput. 6(3-4): 154-161 (2002) - [j12]Andy Tomlinson, Larry Bull:
An accuracy based corporate classifier system. Soft Comput. 6(3-4): 200-215 (2002) - 2001
- [j11]Andy Tomlinson, Larry Bull:
Symbiogenesis in Learning Classifier Systems. Artif. Life 7(1): 33-61 (2001) - [j10]Larry Bull:
Simple models of coevolutionary genetic algorithms. Artif. Life Robotics 5(1): 58-66 (2001) - [j9]Jacob Hurst, Larry Bull:
Self-adaptation in classifier system controllers. Artif. Life Robotics 5(2): 109-119 (2001) - [j8]Manu Ahluwalia, Larry Bull:
Coevolving functions in genetic programming. J. Syst. Archit. 47(7): 573-585 (2001) - [j7]Larry Bull:
On coevolutionary genetic algorithms. Soft Comput. 5(3): 201-207 (2001) - 2000
- [j6]Larry Bull, Owen Holland, Susan Blackmore:
On Meme-Gene Coevolution. Artif. Life 6(3): 227-235 (2000) - 1999
- [j5]Larry Bull:
On the Evolution of Multicellularity and Eusociality. Artif. Life 5(1): 1-15 (1999) - [j4]Larry Bull:
On the Baldwin Effect. Artif. Life 5(3): 241-246 (1999) - [j3]Larry Bull:
On Evolving Social Systems: Communication, Speciation and Symbiogenesis. Comput. Math. Organ. Theory 5(3): 281-302 (1999) - [j2]Larry Bull:
On Model-Based Evolutionary Computation. Soft Comput. 3(2): 76-82 (1999) - 1995
- [j1]Larry Bull, Terence C. Fogarty:
Artificial Symbiogenesis. Artif. Life 2(3): 269-292 (1995)
Conference and Workshop Papers
- 2016
- [c85]Tim Kovacs, Simon Rawles, Larry Bull, Masaya Nakata, Keiki Takadama:
XCS-DH: Minimal default hierarchies in XCS. CEC 2016: 4747-4754 - 2015
- [c84]Gerard David Howard, Larry Bull, Ben de Lacy Costello:
Evolving Unipolar Memristor Spiking Neural Networks. ACALCI 2015: 258-272 - 2013
- [c83]Larry Bull, Andrew Adamatzky:
Evolving gene regulatory networks with mobile DNA mechanisms. UKCI 2013: 1-7 - [c82]Richard Preen, Larry Bull:
Towards the evolution of novel vertical-axis wind turbines. UKCI 2013: 74-81 - 2012
- [c81]Gerard David Howard, Larry Bull, Andrew Adamatzky:
Cartesian Genetic Programming for Memristive Logic Circuits. EuroGP 2012: 37-48 - [c80]Faten F. Kharbat, Larry Bull, Mohammed Odeh:
A New Compaction Algorithm for LCS Rules - Breast Cancer Dataset Case Study. KDIR 2012: 382-385 - 2011
- [c79]Richard Preen, Larry Bull:
Arithmetic dynamical genetic programming in the XCSF Learning Classifier System. IEEE Congress on Evolutionary Computation 2011: 1428-1435 - [c78]Richard Preen, Larry Bull:
Fuzzy dynamical genetic programming in XCSF. GECCO (Companion) 2011: 167-168 - [c77]Gerard David Howard, Ella Gale, Larry Bull, Benjamin de Lacy Costello, Andrew Adamatzky:
Evolving spiking networks with variable memristors. GECCO 2011: 1275-1282 - [c76]Larry Bull:
Towards a Mapping of Modern AIS and LCS. ICARIS 2011: 371-382 - [c75]Mehmet Dinçer Erbas, Alan F. T. Winfield, Larry Bull:
Towards imitation-enhanced Reinforcement Learning in multi-agent systems. ALIFE 2011: 6-13 - [c74]Gerard David Howard, Ella Gale, Larry Bull, Benjamin de Lacy Costello, Andy Adamatzky:
Towards evolving spiking networks with memristive synapses. ALIFE 2011: 14-21 - 2010
- [c73]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A spiking neural representation for XCSF. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c72]Larry Bull:
Imitation Programming. ICES 2010: 360-371 - 2009
- [c71]Larry Bull, Richard Preen:
On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems. EuroGP 2009: 37-48 - [c70]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. GECCO 2009: 1219-1226 - [c69]Richard Preen, Larry Bull:
Discrete dynamical genetic programming in XCS. GECCO 2009: 1299-1306 - [c68]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Use of a Connection-Selection Scheme in Neural XCSF. IWLCS 2009: 87-106 - 2008
- [c67]Ramón Alonso-Sanz, Larry Bull:
Elementary coupled cellular automata with memory. Automata 2008: 72-99 - [c66]Larry Bull, Ramón Alonso-Sanz:
On coupling random Boolean networks. Automata 2008: 292-305 - [c65]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Self-adaptive constructivism in Neural XCS and XCSF. GECCO 2008: 1389-1396 - [c64]Gerard David Howard, Larry Bull:
On the effects of node duplication and connection-oriented constructivism in neural XCSF. GECCO (Companion) 2008: 1977-1984 - [c63]Christopher Stone, Rita Toth, Ben de Lacy Costello, Larry Bull, Andrew Adamatzky:
Coevolving Cellular Automata with Memory for Chemical Computing: Boolean Logic Gates in the BZ Reaction. PPSN 2008: 579-588 - 2007
- [c62]Emmanuel Sapin, Larry Bull:
Searching for Glider Guns in Cellular Automata: Exploring Evolutionary and Other Techniques. Artificial Evolution 2007: 255-265 - [c61]Larry Bull, Toby O'Hara, Pier Luca Lanzi:
Anticipation mappings for learning classifier systems. IEEE Congress on Evolutionary Computation 2007: 2133-2140 - [c60]Emmanuel Sapin, Larry Bull, Andrew Adamatzky:
A Genetic approach to search for glider guns in cellular automata. IEEE Congress on Evolutionary Computation 2007: 2456-2462 - [c59]Larry Bull, Ivan S. Uroukov:
Initial results from the use of learning classifier systems to control in vitro neuronal networks. GECCO 2007: 369-376 - [c58]Christopher Stone, Rita Toth, Andrew Adamatzky, Ben de Lacy Costello, Larry Bull:
Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction. GECCO 2007: 472-478 - [c57]Matthew Goble Smith, Larry Bull:
Improving the human readability of features constructed by genetic programming. GECCO 2007: 1694-1701 - [c56]Kreangsak Tamee, Larry Bull, Ouen Pinngern:
Towards clustering with XCS. GECCO 2007: 1854-1860 - [c55]Faten F. Kharbat, Larry Bull, Mohammed Odeh:
Mining breast cancer data with XCS. GECCO 2007: 2066-2073 - [c54]Larry Bull:
On lookahead and latent learning in simple LCS. GECCO (Companion) 2007: 2633-2636 - [c53]Tim Kovacs, Larry Bull:
Toward a better understanding of rule initialisation and deletion. GECCO (Companion) 2007: 2777-2780 - [c52]Larry Bull:
On Lookahead and Latent Learning in Simple LCS. IWLCS 2007: 154-168 - 2006
- [c51]Anthony J. Bagnall, Ian M. Whittley, Gareth J. Janacek, Kate Kemsley, Matthew Studley, Larry Bull:
A Comparison of DWT/PAA and DFT for Time Series Classification. DMIN 2006: 403-409 - [c50]Anthony J. Bagnall, Ian M. Whittley, Matthew Studley, Mike Pettipher, Firat Tekiner, Larry Bull:
Variance Stabilizing Regression Ensembles for Environmental Models. IJCNN 2006: 5355-5361 - [c49]Kreangsak Tamee, Larry Bull, Ouen Pinngern:
A Learning Classifier System Approach to Clustering. ISDA (1) 2006: 621-626 - 2005
- [c48]Larry Bull, I. Lawson, Andrew Adamatzky, Ben de Lacy Costello:
Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata. Congress on Evolutionary Computation 2005: 136-141 - [c47]Larry Bull:
Coevolutionary species adaptation genetic algorithms: growth and mutation on coupled fitness landscapes. Congress on Evolutionary Computation 2005: 559-564 - [c46]Larry Bull, Matthew Studley, Anthony J. Bagnall, Ian M. Whittley:
On the use of rule-sharing in learning classifier system ensembles. Congress on Evolutionary Computation 2005: 612-617 - [c45]Toby O'Hara, Larry Bull:
A memetic accuracy-based neural learning classifier system. Congress on Evolutionary Computation 2005: 2040-2045 - [c44]Toby O'Hara, Larry Bull:
Building anticipations in an accuracy-based learning classifier system by use of an artificial neural network. Congress on Evolutionary Computation 2005: 2046-2052 - [c43]Faten F. Kharbat, Larry Bull, Mohammed Odeh:
Revisiting genetic selection in the XCS learning classifier system. Congress on Evolutionary Computation 2005: 2061-2068 - [c42]Matthew Studley, Larry Bull:
X-TCS: accuracy-based learning classifier system robotics. Congress on Evolutionary Computation 2005: 2099-2106 - [c41]Larry Bull:
Coevolutionary Species Adaptation Genetic Algorithms: A Continuing SAGA on Coupled Fitness Landscapes. ECAL 2005: 322-331 - [c40]Toby O'Hara, Larry Bull:
Backpropagation in Accuracy-Based Neural Learning Classifier Systems. IWLCS 2005: 25-39 - [c39]David Ian Wyatt, Larry Bull, Ian C. Parmee:
Using XCS to Describe Continuous-Valued Problem Spaces. IWLCS 2005: 308-332 - 2004
- [c38]Jacob Hurst, Larry Bull:
A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot Control. PPSN 2004: 942-951 - [c37]Larry Bull:
A Simple Payoff-Based Learning Classifier System. PPSN 2004: 1032-1041 - [c36]Larry Bull:
Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System. PPSN 2004: 1042-1050 - [c35]Matthew Goble Smith, Larry Bull:
Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector. PPSN 2004: 1163-1171 - 2003
- [c34]Larry Bull, Jacob Hurst:
A neural learning classifier system with self-adaptive constructivism. IEEE Congress on Evolutionary Computation 2003: 991-997 - [c33]Matthew Goble Smith, Larry Bull:
Feature Construction and Selection Using Genetic Programming and a Genetic Algorithm. EuroGP 2003: 229-237 - [c32]Christopher Stone, Larry Bull:
Towards Learning Classifier Systems for Continuous-Valued Online Environments. GECCO 2003: 1924-1925 - 2002
- [c31]Uwe Aickelin, Larry Bull:
Partnering Strategies For Fitness Evaluation In A Pyramidal Evolutionary Algorithm. GECCO 2002: 263-270 - [c30]Larry Bull:
Lookahead And Latent Learning In ZCS. GECCO 2002: 897-904 - [c29]Larry Bull, Toby O'Hara:
Accuracy-based Neuro And Neuro-fuzzy Classifier Systems. GECCO 2002: 905-911 - [c28]Larry Bull, David Ian Wyatt, Ian C. Parmee:
Towards The Use Of XCS In Interactive Evolutionary Design. GECCO 2002: 951 - [c27]Larry Bull, Matthew Studley:
Consideration of Multiple Objectives in Neural Learning Classifier Systems. PPSN 2002: 549-557 - [c26]Larry Bull:
On Using Constructivism in Neural Classifier Systems. PPSN 2002: 558-567 - [c25]Larry Bull, David Ian Wyatt, Ian C. Parmee:
Initial Modifications to XCS for Use in Interactive Evolutionary Design. PPSN 2002: 568-577 - [c24]Jacob Hurst, Larry Bull, Chris Melhuish:
TCS Learning Classifier System Controller on a Real Robot. PPSN 2002: 588-600 - 2001
- [c23]Jacob Hurst, Larry Bull:
A Self-Adaptive XCS. IWLCS 2001: 57-73 - 2000
- [c22]Y. J. Cao, Neil Ireson, Larry Bull, R. Miles:
Distributed Learning Control of Traffic Signals. EvoWorkshops 2000: 117-126 - [c21]Neil Ireson, Y. J. Cao, Larry Bull, R. Miles:
A Communication Architecture for Multi-agent Learning Systems. EvoWorkshops 2000: 255-266 - [c20]Larry Bull, Jacob Hurst:
Self-Adaptive Mutation in ZCS Controllers. EvoWorkshops 2000: 339-346 - [c19]Larry Bull:
Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness. IWLCS 2000: 21-28 - [c18]Larry Bull:
Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-step Tasks. IWLCS 2000: 29-36 - [c17]Jacob Hurst, Larry Bull:
A Self-Adaptive Classifier System. IWLCS 2000: 70-79 - 1999
- [c16]Y. J. Cao, Neil Ireson, Larry Bull, R. Miles:
Design of a Traffic Junction Controller Using Classifier Systems and Fuzzy Logic. Fuzzy Days 1999: 342-353 - [c15]Manu Ahluwalia, Larry Bull:
A Genetic Programming-based Classifier System. GECCO 1999: 11-18 - [c14]Larry Bull:
On using ZCS in a Simulated Continuous Double-Auction Market. GECCO 1999: 83-90 - [c13]Manu Ahluwalia, Larry Bull:
Coevolving Functions in Genetic Programming: Classification using K-nearest-neighbour. GECCO 1999: 947-952 - [c12]Andy Tomlinson, Larry Bull:
A Corporate XCS. Learning Classifier Systems 1999: 195-208 - 1998
- [c11]Larry Bull:
Evolutionary Computing in Multi-agent Environments: Operators. Evolutionary Programming 1998: 43-52 - [c10]Manu Ahluwalia, Larry Bull:
Co-evolving Functions in Genetic Programming: Dynamic ADF Creation Using GLiB. Evolutionary Programming 1998: 809-818 - [c9]Larry Bull:
On ZCS in Multi-agent Environments. PPSN 1998: 471-480 - [c8]Andy Tomlinson, Larry Bull:
A Corporate Classifier System. PPSN 1998: 550-559 - 1997
- [c7]Larry Bull:
Evolutionary Computation in Multi-Agent Environments: Partners. ICGA 1997: 370-377 - 1996
- [c6]Larry Bull, Terence C. Fogarty:
Evolutionary Computing in Multi-Agent Environments: Specification and Symbiogenesis. PPSN 1996: 12-21 - 1995
- [c5]Terence C. Fogarty, Brian Carse, Larry Bull:
Classifier Systems: Selectionist Reinforcement Learning, Fuzzy Rules and Communication. BIES 1995: 69-75 - [c4]Larry Bull, Terence C. Fogarty, Anthony G. Pipe:
Artificial Endosymbiosis. ECAL 1995: 273-289 - [c3]Larry Bull, Terence C. Fogarty, M. Snaith:
Evolution in Multi-agent Systems: Evolving Communicating Classifier Systems for Gait in a Quadrupedal Robot. ICGA 1995: 382-388 - 1994
- [c2]Larry Bull, Terence C. Fogarty:
An Evolution Strategy and Genetic Algorithm Hybrid: An Initial Implementation and First Results. Evolutionary Computing, AISB Workshop 1994: 95-102 - [c1]Larry Bull, Terence C. Fogarty:
Parallel Evolution of Communicating Classifier Systems. International Conference on Evolutionary Computation 1994: 680-685
Parts in Books or Collections
- 2019
- [p6]Gerard David Howard, Larry Bull, Ben de Lacy Costello, Ella Gale, Andrew Adamatzky:
Evolving Memristive Neural Networks. Handbook of Memristor Networks 2019: 661-690 - 2013
- [p5]Larry Bull:
Imitation Programming Unorganised Machines. Artificial Intelligence, Evolutionary Computing and Metaheuristics 2013: 63-81 - 2008
- [p4]Larry Bull, Ester Bernadó-Mansilla, John H. Holmes:
Learning Classifier Systems in Data Mining: An Introduction. Learning Classifier Systems in Data Mining 2008: 1-15 - [p3]Faten F. Kharbat, Mohammed Odeh, Larry Bull:
Knowledge Discovery from Medical Data: An Empirical Study with XCS. Learning Classifier Systems in Data Mining 2008: 93-121 - [p2]Christopher Stone, Larry Bull:
Foreign Exchange Trading Using a Learning Classifier System. Learning Classifier Systems in Data Mining 2008: 169-189 - [p1]Kreangsak Tamee, Larry Bull, Ouen Pinngern:
Towards Clustering with Learning Classifier Systems. Learning Classifier Systems in Data Mining 2008: 191-204
Editorship
- 2008
- [e2]Larry Bull, Ester Bernadó-Mansilla, John H. Holmes:
Learning Classifier Systems in Data Mining. Studies in Computational Intelligence 125, Springer 2008, ISBN 978-3-540-78978-9 [contents] - 2002
- [e1]William B. Langdon, Erick Cantú-Paz, Keith E. Mathias, Rajkumar Roy, David Davis, Riccardo Poli, Karthik Balakrishnan, Vasant G. Honavar, Günter Rudolph, Joachim Wegener, Larry Bull, Mitchell A. Potter, Alan C. Schultz, Julian F. Miller, Edmund K. Burke, Natasa Jonoska:
GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002. Morgan Kaufmann 2002, ISBN 1-55860-878-8 [contents]
Informal and Other Publications
- 2024
- [i57]Haixia Liu, Tim J. Brailsford, James Goulding, Gavin Smith, Larry Bull:
Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification. CoRR abs/2401.14236 (2024) - [i56]Larry Bull:
Toward Neuromic Computing: Neurons as Autoencoders. CoRR abs/2403.02331 (2024) - [i55]Larry Bull:
An NKCS Model of Bookchins Communalism. CoRR abs/2407.18218 (2024) - 2023
- [i54]Larry Bull:
Coevolving Boolean and Multi-Valued Regulatory Networks. CoRR abs/2302.01694 (2023) - [i53]Larry Bull, Haixia Liu:
On Cooperative Coevolution and Global Crossover. CoRR abs/2308.06581 (2023) - 2021
- [i52]Larry Bull:
On Sexual Selection. CoRR abs/2102.11667 (2021) - [i51]Richard John Preen, Larry Bull:
Deep Learning with a Classifier System: Initial Results. CoRR abs/2103.01118 (2021) - 2020
- [i50]Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz:
Utilizing Differential Evolution into optimizing targeted cancer treatments. CoRR abs/2003.11623 (2020) - [i49]Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz:
Novelty search employed into the development of cancer treatment simulations. CoRR abs/2003.11624 (2020) - [i48]Larry Bull:
Exploring Distributed Control with the NK Model. CoRR abs/2004.10061 (2020) - [i47]Larry Bull:
On the Baldwin Effect under Coevolution. CoRR abs/2004.14827 (2020) - [i46]Larry Bull:
Are Artificial Dendrites useful in NeuroEvolution? CoRR abs/2010.00918 (2020) - [i45]Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz:
Evolving Nano Particle Cancer Treatments with Multiple Particle Types. CoRR abs/2011.04975 (2020) - 2019
- [i44]Larry Bull:
Sex and Coevolution. CoRR abs/1903.07429 (2019) - [i43]Larry Bull:
A Simple Haploid-Diploid Evolutionary Algorithm. CoRR abs/1903.11598 (2019) - [i42]Larry Bull:
Autoencoding with a Learning Classifier System: Initial Results. CoRR abs/1907.11554 (2019) - [i41]Richard John Preen, Stewart W. Wilson, Larry Bull:
Autoencoding with XCSF. CoRR abs/1910.10579 (2019) - [i40]Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz:
Haploid-Diploid Evolution: Nature's Memetic Algorithm. CoRR abs/1911.07302 (2019) - 2018
- [i39]Larry Bull:
The Evolution of Sex Chromosomes through the Baldwin Effect. CoRR abs/1808.03471 (2018) - [i38]Larry Bull:
The Evolution of Gene Dominance through the Baldwin Effect. CoRR abs/1811.04073 (2018) - [i37]Larry Bull, Neil Phillips:
Towards the Design of Aerostat Wind Turbine Arrays through AI. CoRR abs/1811.05290 (2018) - [i36]Richard John Preen, Larry Bull, Andrew Adamatzky:
Towards an Evolvable Cancer Treatment Simulator. CoRR abs/1812.08252 (2018) - 2016
- [i35]Larry Bull:
Evolving Boolean Regulatory Networks with Variable Gene Expression Times. CoRR abs/1603.01185 (2016) - [i34]Larry Bull:
The Evolution of Sex through the Baldwin Effect. CoRR abs/1607.00318 (2016) - [i33]Larry Bull:
Haploid-Diploid Algorithms. CoRR abs/1608.05578 (2016) - [i32]Richard John Preen, Jiseon You, Larry Bull, Ioannis A. Ieropoulos:
Design Mining Microbial Fuel Cell Cascades. CoRR abs/1610.05716 (2016) - 2015
- [i31]Larry Bull:
Evolving Boolean Networks with RNA Editing. CoRR abs/1505.01980 (2015) - [i30]Gerard David Howard, Larry Bull, Ben de Lacy Costello, Andrew Adamatzky, Ella Gale:
Evolving Spiking Networks with Variable Resistive Memories. CoRR abs/1505.04357 (2015) - [i29]Richard John Preen, Larry Bull:
Design Mining VAWT Wind Farms. CoRR abs/1506.08781 (2015) - [i28]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. CoRR abs/1508.07700 (2015) - [i27]Gerard David Howard, Larry Bull, Ben de Lacy Costello:
Evolving Unipolar Memristor Spiking Neural Networks. CoRR abs/1509.00105 (2015) - 2014
- [i26]Larry Bull:
Exploiting generalisation symmetries in accuracy-based learning classifier systems: An initial study. CoRR abs/1401.2949 (2014) - [i25]Larry Bull:
A Brief History of Learning Classifier Systems: From CS-1 to XCS. CoRR abs/1401.3607 (2014) - [i24]Richard John Preen, Larry Bull:
Design Mining Interacting Wind Turbines: Surrogate-Assisted Coevolution of Rapid Prototyped VAWT. CoRR abs/1410.0547 (2014) - 2013
- [i23]Larry Bull:
On Mobile DNA in Artificial Regulatory Networks: Evolving Functional and Structural Dynamism. CoRR abs/1303.7220 (2013) - [i22]Larry Bull:
Evolving Boolean Regulatory Networks with Epigenetic Control. CoRR abs/1306.4793 (2013) - [i21]Larry Bull, Andrew Adamatzky:
Evolving Gene Regulatory Networks with Mobile DNA Mechanisms. CoRR abs/1306.5533 (2013) - [i20]Richard Preen, Larry Bull:
Towards the Coevolution of Novel Vertical-Axis Wind Turbines. CoRR abs/1308.3136 (2013) - [i19]Larry Bull:
Towards Application of the RBNK Model. CoRR abs/1310.5568 (2013) - 2012
- [i18]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Spiking Neural Learning Classifier System. CoRR abs/1201.3249 (2012) - [i17]Larry Bull:
On Natural Genetic Engineering: Structural Dynamism in Random Boolean Networks. CoRR abs/1201.3545 (2012) - [i16]Larry Bull:
Production System Rules as Protein Complexes from Genetic Regulatory Networks. CoRR abs/1201.4737 (2012) - [i15]Richard Preen, Larry Bull:
Discrete and Fuzzy Dynamical Genetic Programming in the XCSF Learning Classifier System. CoRR abs/1201.5604 (2012) - [i14]Richard Preen, Larry Bull:
Evolution of Supershapes for the Generation of Three-Dimensional Designs. CoRR abs/1204.4107 (2012) - [i13]Richard Preen, Larry Bull:
Discrete Dynamical Genetic Programming in XCS. CoRR abs/1204.4200 (2012) - [i12]Richard Preen, Larry Bull:
Fuzzy Dynamical Genetic Programming in XCSF. CoRR abs/1204.4202 (2012) - [i11]Larry Bull, Julian Holley, Ben de Lacy Costello, Andrew Adamatzky:
Toward Turing's A-type Unorganised Machines in an Unconventional Substrate: a Dynamic Representation in Compartmentalised Excitable Chemical Media. CoRR abs/1212.1344 (2012) - [i10]Ben de Lacy Costello, Ishrat Jahan, Matt Ahearn, Julian Holley, Larry Bull, Andrew Adamatzky:
Initiation of waves in BZ encapsulated vesicles using light - towards design of computing architectures. CoRR abs/1212.2244 (2012) - [i9]Christopher Stone, Rita Toth, Ben de Lacy Costello, Larry Bull, Andrew Adamatzky:
Coevolving Cellular Automata with Memory for Chemical Computing: Boolean Logic Gates in the B-Z Reaction. CoRR abs/1212.2762 (2012) - [i8]Gerard David Howard, Ella Gale, Larry Bull, Ben de Lacy Costello, Andy Adamatzky:
Evolution of Plastic Learning in Spiking Networks via Memristive Connections. CoRR abs/1212.3441 (2012) - [i7]Richard Preen, Larry Bull:
Towards the Evolution of Novel Vertical-Axis Wind Turbines. CoRR abs/1212.5271 (2012) - 2011
- [i6]Andrew Adamatzky, Ben de Lacy Costello, Julian Holley, Jerzy Gorecki, Larry Bull:
Vesicle computers: Approximating Voronoi diagram on Voronoi automata. CoRR abs/1104.1707 (2011) - 2010
- [i5]Andrew Adamatzky, Ben de Lacy Costello, Larry Bull:
On polymorphic logical gates in sub-excitable chemical medium. CoRR abs/1007.0034 (2010) - 2008
- [i4]Uwe Aickelin, Larry Bull:
Partnering Strategies for Fitness Evaluation in a Pyramidal Evolutionary Algorithm. CoRR abs/0801.3550 (2008) - [i3]Andrew Adamatzky, Larry Bull:
Are complex systems hard to evolve? CoRR abs/0802.3875 (2008) - [i2]Uwe Aickelin, Larry Bull:
On the Application of Hierarchical Coevolutionary Genetic Algorithms: Recombination and Evaluation Partners. CoRR abs/0803.2966 (2008) - 2007
- [i1]Andrew Adamatzky, Larry Bull, Pierre Collet, Emmanuel Sapin:
Evolving localizations in reaction-diffusion cellular automata. CoRR abs/0712.0836 (2007)
Coauthor Index
Andrew Adamatzky
aka: Andy Adamatzky
aka: Andy Adamatzky
Ben de Lacy Costello
aka: Benjamin de Lacy Costello
aka: Benjamin de Lacy Costello
Richard Preen
aka: Richard John Preen
aka: Richard John Preen
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