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ORCIDDan Ashlock
Daniel A. Ashlock
Person information
- affiliation: University of Guelph, Department of Mathematics and Statistics, ON, Canada
- affiliation (former): Iowa State University, Ames, Iowa, USA
- affiliation (PhD 1990): California Institute of Technology, Pasadena, CA, USA
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2020 – today
- 2024
[j42]Haiyang Chang, Daniel A. Ashlock, Steffen P. Graether, Stefan M. Keller:
Anchor Clustering for million-scale immune repertoire sequencing data. BMC Bioinform. 25(1): 42 (2024)- 2023
- [j41]Marco S. Nobile, Luca Manzoni, Daniel A. Ashlock, Rong Qu
:
Models of Representation in Computational Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. 18(1): 20-21 (2023) - [j40]Garrison W. Greenwood, Daniel A. Ashlock:
A Representation for Many Player Generalized Divide the Dollar Games. Games 14(2): 19 (2023) - 2022
- [j39]Gonzalo A. Ruz, Daniel A. Ashlock, Richard Allmendinger, Gary B. Fogel:
Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020). Biosyst. 218: 104698 (2022) - [j38]Connor Gregor, Daniel A. Ashlock, Gonzalo A. Ruz, Duncan MacKinnon, David Kribs:
A novel linear representation for evolving matrices. Soft Comput. 26(14): 6645-6657 (2022) - [c207]Garrison W. Greenwood, Daniel A. Ashlock:
Evolving Neural Networks for a Generalized Divide the Dollar Game. CEC 2022: 1-8 - [c206]Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile:
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization. CIBCB 2022: 1-8 - [i3]Dan Ashlock, Setareh Maghsudi, Diego Perez Liebana, Pieter Spronck, Manuel Eberhardinger:
Human-Game AI Interaction (Dagstuhl Seminar 22251). Dagstuhl Reports 12(6): 28-82 (2022) - 2021
- [b8]Andrew McEachern, Daniel A. Ashlock:
Mathematical Problem Factories: Almost Endless Problem Generation. Synthesis Lectures on Mathematics & Statistics, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01308-9, pp. 1-165 - [j37]Garrison W. Greenwood, Daniel A. Ashlock:
A comparison of the Moran Process and replicator equations for evolving social dilemma game strategies. Biosyst. 202: 104352 (2021) - [j36]Sharon M. McNicholas, Paul D. McNicholas, Daniel A. Ashlock:
An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering. J. Classif. 38(2): 264-279 (2021) - [j35]Connor Gregor, Dan Ashlock, Allan R. Willms:
The algebraic solvability of the novel lamplighter puzzle. J. Int. Comput. Games Assoc. 43(4): 203-225 (2021) - [c205]Daniele M. Papetti, Daniel A. Ashlock, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile:
If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions. CEC 2021: 1414-1422 - [c204]Amanda Saunders, Daniel A. Ashlock, Julie Greensmith:
Necrotic Behavioral Control of Agent Behavior in the Iterated Prisoner's Dilemma. CEC 2021: 1593-1600 - [c203]Daniel A. Ashlock, Joseph Alexander Brown, Wendy Ashlock, Michael Dubé:
Ring Optimization of Epidemic Contact Networks. CIBCB 2021: 1-8 - [c202]Daniel A. Ashlock, Joseph Alexander Brown, Sheridan K. Houghten, Munir Makhmutov:
One Moose, Two Moose, Three Fields, More? CIBCB 2021: 1-7 - [c201]Daniel A. Ashlock, Michael Dubé:
A Comparison of Novel Representations for Evolving Epidemic Networks. CIBCB 2021: 1-8 - [c200]Andrew Dong, Daniel A. Ashlock:
Representational Sensitivity for Divide the Dollar Playing Agents. CoG 2021: 1-8 - [c199]Daniel A. Ashlock, Joseph Alexander Brown, Connor Gregor, Munir Makhmutov:
A Family of Turn Based Strategy Games with Moose. SSCI 2021: 1-8 - [c198]Rachel Brown, Daniel A. Ashlock:
The Non-Walking Triangle Optimization Representation: Enabling Monte Carlo Tree Search-like Methods for Real Parameter Optimization Problems. SSCI 2021: 1-8 - [c197]Michael Dubé, Daniel A. Ashlock:
Procedural Content Generation of Levels with Increased Connectedness using Complex String Generators. SSCI 2021: 1-8 - 2020
- [b7]Daniel A. Ashlock, Colin Lee:
An Introduction to Proofs with Set Theory. Synthesis Lectures on Mathematics & Statistics, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01298-3 - [j34]Jérémy Foxcroft, Daniel A. Ashlock:
A polyomino puzzle for arithmetic practice. J. Int. Comput. Games Assoc. 42(4): 272-286 (2020) - [j33]Eun-Youn Kim, Daniel A. Ashlock:
Testing a Protocol for Characterizing Game Playing Agents Trained via Evolution on a New Game. IEEE Trans. Games 12(3): 236-245 (2020) - [c196]Daniel A. Ashlock, Julie Greensmith:
Necrotic Control of the Aesthetics of Evolved Art. CEC 2020: 1-8 - [c195]Joseph Alexander Brown, Daniel A. Ashlock, Sheridan K. Houghten, Angelo Romualdo:
Evolutionary Graph Compression and Diffusion Methods for City Discovery in Role Playing Games. CEC 2020: 1-8 - [c194]Andrew Dong, Daniel A. Ashlock:
Clustering Julia Set Examples to Enhance Evolution of Fractal Parameters. CEC 2020: 1-8 - [c193]Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock:
Modelling of Vaccination Strategies for Epidemics using Evolutionary Computation. CEC 2020: 1-8 - [c192]Marco S. Nobile, Simone Spolaor, Paolo Cazzaniga, Daniele M. Papetti, Daniela Besozzi, Daniel A. Ashlock, Luca Manzoni:
Which random is the best random? A study on sampling methods in Fourier surrogate modeling. CEC 2020: 1-8 - [c191]Daniel A. Ashlock, Haiyang Chang, Matthew Stoodley:
Odd Distance Anchors for Rapid Clustering. CIBCB 2020: 1-8 - [c190]Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock, James Alexander Hughes:
Evolving the Curve. CIBCB 2020: 1-8 - [c189]James Alexander Hughes, Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock:
Vaccinating a Population is a Programming Problem. CIBCB 2020: 1-8 - [c188]Garrison W. Greenwood, Daniel A. Ashlock:
Monte Carlo Tree Search Strategies in 2-Player Iterated Prisoner Dilemma Games. CoG 2020: 89-95 - [c187]Daniel A. Ashlock, Julie Greensmith:
Further Exploration of Necrotic Control of Evolved Art. SSCI 2020: 2957-2964 - [c186]James Alexander Hughes, William Hannah, Peter Kikkert, Barry MacKenzie, Wendy Ashlock, Sheridan K. Houghten, Daniel A. Ashlock, Matthew Stoodley, Michael Dubé, Rachel Brown, Amanda Saunders:
We Are Not Pontius Pilate: Acknowledging Ethics and Policy. SSCI 2020: 2975-2984
2010 – 2019
- 2019
- [b6]Daniel A. Ashlock:
Fast Start Differential Calculus. Synthesis Lectures on Mathematics & Statistics, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01292-1 - [b5]Daniel A. Ashlock:
Fast Start Integral Calculus. Synthesis Lectures on Mathematics & Statistics, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01293-8 - [b4]Daniel A. Ashlock:
Fast Start Advanced Calculus. Synthesis Lectures on Mathematics & Statistics, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01294-5 - [j32]Eun-Youn Kim, Daniel A. Ashlock, Sung Ho Yoon:
Identification of critical connectors in the directed reaction-centric graphs of microbial metabolic networks. BMC Bioinform. 20(1): 328:1-328:13 (2019) - [c185]Daniel A. Ashlock, James Montgomery:
Applying an Adaptive Generative Representation to the Investigation of Affordances in Puzzles. CEC 2019: 785-792 - [c184]Marco S. Nobile, Paolo Cazzaniga, Daniel A. Ashlock:
Dilation Functions in Global Optimization. CEC 2019: 2300-2307 - [c183]Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock:
Representation for Evolution of Epidemic Models. CEC 2019: 2370-2377 - [c182]Rachel Brown, Daniel A. Ashlock:
Parameter Tuning of a Peak Fitting Algorithm with an Evolved Experimental Design. CEC 2019: 2378-2385 - [c181]Daniel A. Ashlock, Amanda Saunders, James Marshall, David Calder:
Modelling Standard Work with Simple Virtual Agents. CEC 2019: 2998-3005 - [c180]Daniel A. Ashlock, Jeremy Gilbert:
A Greedy, Generative, Lattice Representation for Point Packing. CEC 2019: 3181-3188 - [c179]Daniel A. Ashlock, Wendy Ashlock, James Montgomery:
Implementing Phenotypic Plasticity with an Adaptive Generative Representation. CIBCB 2019: 1-8 - [c178]Daniel A. Ashlock, Sierra Gillis, Amanda Saunders, Andrew Riley:
Large Block Matching Characters for Dehydrin Classification. CIBCB 2019: 1-8 - [c177]Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock:
Pandemic: A Graph Evolution Story. CIBCB 2019: 1-8 - [c176]Daniel A. Ashlock, Eun-Youn Kim, Amanda Saunders:
Prisoner's Dilemma Agents with Phenotypic Plasticity. CoG 2019: 1-8 - [c175]Daniel A. Ashlock, Christoph Salge:
The Riddle of Togelby. CoG 2019: 1-8 - [c174]Daniel A. Ashlock, Christoph Salge:
Automatic Generation of Level Maps with the Do What's Possible Representation. CoG 2019: 1-8 - [c173]Garrison W. Greenwood, Daniel A. Ashlock:
Monte Carlo Strategies for Exploiting Fairness in N-player Ultimatum Games. CoG 2019: 1-7 - [c172]Matthew Kreitzer, Daniel A. Ashlock, Rajesh Pereira:
Automatic Generation of Diverse Cavern Maps with Morphing Cellular Automata. CoG 2019: 1-8 - [i2]Daniel A. Ashlock, Christoph Salge:
Automatic Generation of Level Maps with the Do What's Possible Representation. CoRR abs/1905.09618 (2019) - [i1]Daniel A. Ashlock, Christoph Salge:
The Riddle of Togelby. CoRR abs/1906.03997 (2019) - 2018
- [b3]Daniel A. Ashlock:
Exploring Representation in Evolutionary Level Design. Synthesis Lectures on Games and Computational Intelligence, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00992-1 - [j31]Richard Allmendinger, Daniel A. Ashlock, Sansanee Auephanwiriyakul:
Computational Intelligence Techniques in Bioinformatics and Bioengineering [Guest Editorial]. IEEE Comput. Intell. Mag. 13(3): 10-11 (2018) - [c171]Daniel A. Ashlock, Joseph Alexander Brown, Lolita Sultanaeva:
Exploiting Fertility to Enable Automatic Content Generation to Ameliorate User Fatigue in Interactive Evolutionary Computation. CEC 2018: 1-7 - [c170]Daniel A. Ashlock, Eun-Youn Kim:
Two Population Studies of Evolving Game Playing Agents. CEC 2018: 1-8 - [c169]Garrison W. Greenwood, Daniel A. Ashlock:
On the Evolution of Fairness in N-player Ultimatum Games. CEC 2018: 1-6 - [c168]Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock:
Parameter selection for modeling of epidemic networks. CIBCB 2018: 1-8 - [c167]Amanda Saunders, Daniel A. Ashlock, Sheridan K. Houghten:
Hierarchical clustering and tree stability. CIBCB 2018: 1-8 - [c166]Matthew Stoodley, Daniel A. Ashlock, Steffen Graether:
Data driven point packing for fast clustering. CIBCB 2018: 1-8 - [c165]Daniel A. Ashlock, Courtney Kolthof:
Evolving Number Sentence Morphing Puzzles. CIG 2018: 1-8 - [c164]Daniel A. Ashlock, Eun-Youn Kim, Diego Pérez-Liébana:
Toward General Mathematical Game Playing Agents. CIG 2018: 1-7 - [c163]Daniel A. Ashlock, Matthew Kreitzer:
Evolving Diverse Cellular Automata Based Level Maps. SEDA 2018: 10-23 - 2017
- [b2]Eun-Youn Kim, Daniel A. Ashlock:
On the Design of Game-Playing Agents. Synthesis Lectures on Games and Computational Intelligence, Morgan & Claypool Publishers 2017, ISBN 978-3-031-00991-4 - [j30]Meghan Timmins, Daniel A. Ashlock:
Network induction for epidemic profiles with a novel representation. Biosyst. 162: 205-214 (2017) - [j29]Eun-Youn Kim, Daniel A. Ashlock:
Changing Resources Available to Game Playing Agents: Another Relevant Design Factor in Agent Experiments. IEEE Trans. Comput. Intell. AI Games 9(4): 321-332 (2017) - [c162]Daniel A. Ashlock, Andrew McEachern:
Evolutionary design of FRAX decks. CEC 2017: 944-951 - [c161]James Montgomery, Daniel A. Ashlock:
Applying the biased form of the adaptive generative representation. CEC 2017: 1079-1086 - [c160]Daniel A. Ashlock, Garrison W. Greenwood:
Modeling undependable subsidies with three-player generalized divide the dollar. CEC 2017: 1335-1342 - [c159]Daniel A. Ashlock, Wendy Ashlock:
A note on population size inspired by the extinction of mammoths. CIBCB 2017: 1-8 - [c158]Daniel A. Ashlock, Sierra Gillis, Wendy Ashlock:
Infinite string block matching features for DNA classification. CIBCB 2017: 1-8 - [c157]Daniel A. Ashlock, Sheridan K. Houghten:
Hybridization and ring optimization for larger sets of embeddable biomarkers. CIBCB 2017: 1-8 - [c156]Daniel A. Ashlock, Gonzalo A. Ruz:
A novel representation for boolean networks designed to enhance heritability and scalability. CIBCB 2017: 1-8 - [c155]Gonzalo A. Ruz, Daniel A. Ashlock, Thomas Ledger, Eric Goles:
Inferring bistable lac operen Boolean regulatory networks using evolutionary computation. CIBCB 2017: 1-8 - [c154]Daniel A. Ashlock, Diego Pérez-Liébana, Amanda Saunders:
General video game playing escapes the no free lunch theorem. CIG 2017: 17-24 - [c153]Joseph Alexander Brown, Daniel A. Ashlock:
Using multiple worlds for multiple agent roles in games. CIG 2017: 37-44 - 2016
- [j28]James Alexander Hughes, Sheridan K. Houghten, Daniel A. Ashlock:
Restarting and recentering genetic algorithm variations for DNA fragment assembly: The necessity of a multi-strategy approach. Biosyst. 150: 35-45 (2016) - [c152]Daniel A. Ashlock, Lauren Taylor:
Evolving polyomino puzzles. CEC 2016: 327-334 - [c151]Daniel A. Ashlock, Garrison W. Greenwood:
Generalized divide the dollar. CEC 2016: 343-350 - [c150]Daniel A. Ashlock, Eun-Youn Kim:
The impact of elite fraction and population size on evolved iterated prisoner's dilemma agents. CEC 2016: 364-371 - [c149]Daniel A. Ashlock, Joseph Alexander Brown:
Evolutionary partitioning regression with function stacks. CEC 2016: 1469-1476 - [c148]Jeremy Gilbert, Daniel A. Ashlock:
Evolvable warps for data normalization. CEC 2016: 1562-1569 - [c147]Daniel A. Ashlock, Steffen Graether:
Conway crossover to create hyperdimensional point packings, with applications. CEC 2016: 1570-1577 - [c146]Daniel A. Ashlock, James Montgomery:
An adaptive generative representation for evolutionary computation. CEC 2016: 1578-1585 - [c145]Daniel A. Ashlock, Sierra Gillis, Andrew McEachern, Jeffrey Tsang:
The do what's possible representation. CEC 2016: 1586-1593 - [c144]Daniel A. Ashlock, Meghan Timmins:
Adding local edge mobility to graph evolution. CEC 2016: 1594-1601 - [c143]Meghan Timmins, Daniel A. Ashlock:
Revisiting epidemic network evolution with a new representation. CIBCB 2016: 1-7 - [c142]Joseph Alexander Brown, Daniel A. Ashlock:
Multiple Worlds Model of Evolution for demographic appropriate radio playlists. SSCI 2016: 1-8 - 2015
- [j27]Daniel A. Ashlock, Joseph Alexander Brown, Philip Hingston:
Multiple Opponent Optimization of Prisoner's Dilemma Playing Agents. IEEE Trans. Comput. Intell. AI Games 7(1): 53-65 (2015) - [j26]Daniel A. Ashlock, Andrew McEachern:
Evolutionary Nonlinear Projection. IEEE Trans. Evol. Comput. 19(6): 857-869 (2015) - [c141]Daniel A. Ashlock, Philip Hingston, Cameron McGuinness:
Evolving Point Packings in the Plane. ACALCI 2015: 297-309 - [c140]Justin Schonfeld, Daniel A. Ashlock:
Flow of control in linear genetic programming. CEC 2015: 1175-1182 - [c139]Daniel A. Ashlock, Lee-Ann Barlow:
A class of representations for evolving graphs. CEC 2015: 1295-1302 - [c138]Daniel A. Ashlock, Sierra Gillis, Gary B. Fogel:
Ring optimization with extinction. CEC 2015: 1311-1318 - [c137]Daniel A. Ashlock, Jeffrey Tsang:
Evolving fractal art with a directed acyclic graph genetic programming representation. CEC 2015: 2137-2144 - [c136]Jennifer Garner, Daniel A. Ashlock:
Evolution of 2D apoptotic cellular automata. CEC 2015: 2160-2167 - [c135]Daniel A. Ashlock, Sierra Gillis, Jennifer Garner, Gary B. Fogel:
Evolving DNA classifiers with extinction based ring optimization. CIBCB 2015: 1-8 - [c134]Daniel A. Ashlock, Sheridan K. Houghten:
Lexicode crossover for embeddable biomarkers. CIBCB 2015: 1-7 - [c133]Daniel A. Ashlock, Cameron McGuinness, Wendy Ashlock:
Chaos automata for sequence visualization. CIBCB 2015: 1-8 - [c132]Daniel A. Ashlock, Cameron McGuinness, Joseph O'Neill:
Interactive evolution instead of default parameters. CIBCB 2015: 1-8 - [c131]Daniel A. Ashlock, Meghan Timmins:
A comparison of incremental community assembly with evolutionary community selection. CIBCB 2015: 1-8 - [c130]Lee-Ann Barlow, Daniel A. Ashlock:
Varying decision inputs in Prisoner's Dilemma. CIBCB 2015: 1-8 - [c129]Matthew Page, Daniel A. Ashlock:
Stress and productivity performance in the workforce modelled with binary decision automata. CIBCB 2015: 1-8 - [c128]Daniel A. Ashlock:
Tutorial II: Representations for evolutionary computation in games. CIG 2015: 21 - [c127]Daniel A. Ashlock:
Evolvable fashion-based cellular automata for generating cavern systems. CIG 2015: 306-313 - [c126]Jeffrey Tsang, Daniel A. Ashlock:
The Impact of Obstruction on a Model of Competitive Exclusion in Plants. SSCI 2015: 1110-1117 - 2014
- [j25]Peter E. Johnson, Daniel A. Ashlock, Kenneth Mark Bryden:
A novel engineering tool for creative design of fluid systems. Eng. Comput. 30(1): 15-29 (2014) - [j24]James Alexander Hughes, Sheridan K. Houghten, Daniel A. Ashlock:
Recentering and restarting a genetic algorithm using a generative representation for an ordered gene problem. Int. J. Hybrid Intell. Syst. 11(4): 257-271 (2014) - [c125]Daniel A. Ashlock, Philip Hingston:
∗Tego - A framework for adversarial planning. IEEE Congress on Evolutionary Computation 2014: 13-20 - [c124]Daniel A. Ashlock, Asena Goren:
Agent-based modelling of resource flow in plant networks. CIBCB 2014: 1-7 - [c123]James Alexander Hughes, Sheridan K. Houghten, Guillermo M. Mallén-Fullerton, Daniel A. Ashlock:
Recentering and Restarting Genetic Algorithm variations for DNA Fragment Assembly. CIBCB 2014: 1-8 - [c122]Eun-Youn Kim, Daniel A. Ashlock:
Using associators to generate ensemble biclustering from multiple evolved biclusterings. CIBCB 2014: 1-8 - [c121]Andrew McEachern, Daniel A. Ashlock:
Shape control of side effect machines for DNA classification. CIBCB 2014: 1-8 - [c120]Wendy Ashlock, Daniel A. Ashlock:
Shaped prisoner's dilemma automata. CIG 2014: 1-8 - [c119]Daniel A. Ashlock, Cameron McGuinness:
Automatic generation of fantasy role-playing modules. CIG 2014: 1-8 - [c118]Daniel A. Ashlock, Justin Schonfeld, Lee-Ann Barlow, Colin Lee:
Test problems and representations for graph evolution. FOCI 2014: 38-45 - [c117]Daniel A. Ashlock, Jeremy Gilbert:
A discrete representation for real optimization with unique search properties. FOCI 2014: 54-61 - [c116]Wendy Ashlock, Jeffrey Tsang, Daniel A. Ashlock:
The evolution of exploitation. FOCI 2014: 135-142 - 2013
- [j23]Andrew McEachern, Daniel A. Ashlock, Justin Schonfeld:
Sequence classification with side effect machines evolved via ring optimization. Biosyst. 113(1): 9-27 (2013) - [j22]Steven M. Corns, Daniel A. Ashlock, Kenneth Mark Bryden:
Development of antibiotic regimens using graph based evolutionary algorithms. Biosyst. 114(3): 178-185 (2013) - [j21]Daniel A. Ashlock, Graham Kendall, Siang Yew Chong:
Guest Editorial: Special Issue on Understanding Complex Evolutionary Systems. IEEE Trans. Evol. Comput. 17(2): 153-154 (2013) - [j20]Daniel A. Ashlock, Sharon McNicholas:
Fitness Landscapes of Evolved Apoptotic Cellular Automata. IEEE Trans. Evol. Comput. 17(2): 198-212 (2013) - [j19]Daniel A. Ashlock, Colin Lee:
Agent-Case Embeddings for the Analysis of Evolved Systems. IEEE Trans. Evol. Comput. 17(2): 227-240 (2013) - [c115]James Alexander Hughes, Joseph A. Brown, Sheridan K. Houghten, Daniel A. Ashlock:
Edit metric decoding: Representation strikes back. IEEE Congress on Evolutionary Computation 2013: 229-236 - [c114]Daniel A. Ashlock, Carolyn Pugh:
Evolutionary cellular automata bonsai. IEEE Congress on Evolutionary Computation 2013: 325-332 - [c113]Andrew McEachern, Daniel A. Ashlock:
Woven string kernels for DNA sequence classification. IEEE Congress on Evolutionary Computation 2013: 1578-1585 - [c112]Daniel A. Ashlock, Nikola Krsic, Gary B. Fogel:
Functions for the analysis of exploration and exploitation. IEEE Congress on Evolutionary Computation 2013: 2020-2027 - [c111]Matthew Page, Daniel A. Ashlock:
Binary decision automata modelling stress in the workplace. IEEE Congress on Evolutionary Computation 2013: 3331-3338 - [c110]Daniel A. Ashlock, Jeremy Gilbert:
Creativity and competitiveness in polyomino-developing game playing agents. CIG 2013: 1-8 - [c109]Daniel A. Ashlock, Cameron McGuinness:
Landscape automata for search based procedural content generation. CIG 2013: 1-8 - [c108]Lee-Ann Barlow, Daniel A. Ashlock:
The impact of connection topology and agent size on cooperation in the iterated prisoner's dilemma. CIG 2013: 1-8 - [c107]Daniel A. Ashlock, Matthew Page:
An agent based model of stress in the workplace. EAIS 2013: 114-121 - [c106]Daniel A. Ashlock, Eun-Youn Kim:
The impact of varying resources available to Iterated Prisoner's Dilemma agents. FOCI 2013: 60-67 - [c105]James Alexander Hughes, Sheridan K. Houghten, Daniel A. Ashlock:
Recentering, reanchoring & restarting an evolutionary algorithm. NaBIC 2013: 76-83 - 2012
- [j18]Daniel A. Ashlock, Sheridan K. Houghten, Joseph Alexander Brown, John Orth:
On the synthesis of DNA error correcting codes. Biosyst. 110(1): 1-8 (2012) - [c104]Daniel A. Ashlock, Wendy Ashlock:
Impact of regulatory genes on optimization behavior. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c103]Daniel A. Ashlock, Sharon McNicholas:
Single parent generalization of cellular automata rules. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c102]Garrison W. Greenwood, Daniel A. Ashlock:
Evolutionary games and the study of cooperation: Why has so little progress been made? IEEE Congress on Evolutionary Computation 2012: 1-8 - [c101]Daniel A. Ashlock, Erin Wild:
A model of competitive exclusion in plants. CIBCB 2012: 206-213 - [c100]Daniel A. Ashlock, Elisabeth Shiller:
Evolving a social fabric to fit and epidemic profile. CIBCB 2012: 363-370 - [c99]Daniel A. Ashlock, Elizabeth Knowles:
Deck-based prisoner's dilemma. CIG 2012: 17-24 - [c98]Daniel A. Ashlock, Wendy Ashlock, Spyridon Samothrakis, Simon M. Lucas, Colin Lee:
From competition to cooperation: Co-evolution in a rewards continuum. CIG 2012: 33-40 - [c97]Daniel A. Ashlock, Cameron McGuinness, Wendy Ashlock:
Representation in Evolutionary Computation. WCCI 2012: 77-97 - 2011
- [j17]Daniel A. Ashlock, Colin Lee, Cameron McGuinness:
Simultaneous Dual Level Creation for Games. IEEE Comput. Intell. Mag. 6(2): 26-37 (2011) - [j16]Daniel A. Ashlock, Colin Lee, Cameron McGuinness:
Search-Based Procedural Generation of Maze-Like Levels. IEEE Trans. Comput. Intell. AI Games 3(3): 260-273 (2011) - [c96]Joseph Alexander Brown, Daniel A. Ashlock:
Domination in Iterated Prisoner's Dilemma. CCECE 2011: 1125-1128 - [c95]Daniel A. Ashlock, Elisabeth Shiller, Colin Lee:
Comparison of evolved epidemic networks with diffusion characters. IEEE Congress on Evolutionary Computation 2011: 781-788 - [c94]Daniel A. Ashlock, Sylvia Nguyen:
Financial control of the evolution of autonomous non-player characters. IEEE Congress on Evolutionary Computation 2011: 828-835 - [c93]Cameron McGuinness, Daniel A. Ashlock:
Decomposing the level generation problem with tiles. IEEE Congress on Evolutionary Computation 2011: 849-856 - [c92]Daniel A. Ashlock, Christopher Kuusela, Monica Cojocaru:
Shopkeeper strategies in the iterated prisoner's dilemma. IEEE Congress on Evolutionary Computation 2011: 1063-1070 - [c91]Daniel A. Ashlock, Joseph A. Brown:
Fitness functions for searching the Mandelbrot set. IEEE Congress on Evolutionary Computation 2011: 1108-1115 - [c90]Joseph A. Brown, Daniel A. Ashlock, John Orth, Sheridan K. Houghten:
Autogeneration of fractal photographic mosaic images. IEEE Congress on Evolutionary Computation 2011: 1116-1123 - [c89]Daniel A. Ashlock, Justin Schonfeld, Paul D. McNicholas:
Translation tables: A genetic code in a evolutionary algorithm. IEEE Congress on Evolutionary Computation 2011: 2685-2692 - [c88]Daniel A. Ashlock, Andrew McEachern:
A simulation of bacterial communities. CIBCB 2011: 61-68 - [c87]Daniel A. Ashlock, Elisabeth Shiller:
Fitting contact networks to epidemic behavior with an evolutionary algorithm. CIBCB 2011: 76-83 - [c86]Wendy Ashlock, Daniel A. Ashlock:
Designing artificial organisms for use in biological simulations. CIBCB 2011: 109-116 - [c85]Cameron McGuinness, Daniel A. Ashlock:
Incorporating required structure into tiles. CIG 2011: 16-23 - [c84]Daniel A. Ashlock, Christopher Kuusela, Nicholas Rogers:
Hormonal systems for prisoners dilemma agents. CIG 2011: 63-70 - [c83]Robert G. Reynolds, Daniel A. Ashlock, Georgios N. Yannakakis, Julian Togelius, Mike Preuss:
Tutorials: Cultural Algorithms: Incorporating social intelligence into virtual worlds. CIG 2011 - 2010
- [c82]Daniel A. Ashlock, Sheridan K. Houghten:
Ring optimization of edit metric codes in DNA. BCB 2010: 222-229 - [c81]Wendy Ashlock, Daniel A. Ashlock:
Virtual retroviruses in grid walkers: Effects on genome organization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c80]Daniel A. Ashlock, Justin Schonfeld:
Evolution for automatic assessment of the difficulty of sokoban boards. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c79]Daniel A. Ashlock, Andrew McEachern:
Nearest neighbor training of side effect machines for sequence classification. CIBCB 2010: 1-8 - [c78]Joseph A. Brown, Sheridan K. Houghten, Daniel A. Ashlock:
Side effect machines for quaternary edit metric decoding. CIBCB 2010: 1-8 - [c77]Justin Schonfeld, Dan Ashlock:
Classifying Cytochrome c Oxidase subunit 1 by translation initiation mechanism using side effect machines. CIBCB 2010: 1-7 - [c76]Daniel A. Ashlock, Eun-Youn Kim, Wendy Ashlock:
A fingerprint comparison of different Prisoner's Dilemma payoff matrices. CIG 2010: 219-226 - [c75]Daniel A. Ashlock:
Automatic generation of game elements via evolution. CIG 2010: 289-296
2000 – 2009
- 2009
- [j15]Eun-Youn Kim, Seon-Young Kim, Daniel A. Ashlock, Dougu Nam:
MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering. BMC Bioinform. 10: 260 (2009) - [j14]Dan Ashlock:
Computational Intelligence in Bioinformatics (Fogel, G.B. et al; 2008) [Book review]. IEEE Comput. Intell. Mag. 4(4): 60-61 (2009) - [j13]Daniel A. Ashlock, Eun-Youn Kim, Wendy Ashlock:
Fingerprint Analysis of the Noisy Prisoner's Dilemma Using a Finite-State Representation. IEEE Trans. Comput. Intell. AI Games 1(2): 154-167 (2009) - [c74]Joseph A. Brown, Sheridan K. Houghten, Daniel A. Ashlock:
Edit metric decoding: a new hope. C3S2E 2009: 233-242 - [c73]Daniel A. Ashlock, Justin Schonfeld, James Humphrey:
Robustness in evolved grid structures. IEEE Congress on Evolutionary Computation 2009: 1343-1350 - [c72]Daniel A. Ashlock, Jeffrey Tsang:
Evolved art via control of cellular automata. IEEE Congress on Evolutionary Computation 2009: 3338-3344 - [c71]Daniel A. Ashlock, Sheridan K. Houghten:
DNA error correcting codes: No crossover. CIBCB 2009: 38-45 - [c70]Daniel A. Ashlock, Colin Lee:
Using diffusion characters for the taxonomy of self-organizing social networks. CIBCB 2009: 60-67 - [c69]Daniel A. Ashlock, Taika von Königslöw:
Diagnostic character location within the cryptic skipper butterfly species complex with an evolutionary algorithm. CIBCB 2009: 92-99 - [c68]Daniel A. Ashlock, Wendy Ashlock:
Simulation of the impact of retroviruses on genome organization of an artificial organism. CIBCB 2009: 140-146 - 2008
- [j12]Daniel A. Ashlock, Eun-Youn Kim:
Fingerprinting: Visualization and Automatic Analysis of Prisoner's Dilemma Strategies. IEEE Trans. Evol. Comput. 12(5): 647-659 (2008) - [c67]Daniel A. Ashlock, Taika von Konigslow:
Evolution of artificial ring species. IEEE Congress on Evolutionary Computation 2008: 653-659 - [c66]Daniel A. Ashlock, Fatemeh Jafargholi:
Behavioral regimes in the evolution of extremal epidemic graphs. IEEE Congress on Evolutionary Computation 2008: 660-667 - [c65]Daniel A. Ashlock, Elizabeth Warner:
The geometry of Tartarus fitness cases. IEEE Congress on Evolutionary Computation 2008: 1309-1316 - [c64]Daniel A. Ashlock, Kenneth Mark Bryden, Steven M. Corns:
Small population effects and hybridization. IEEE Congress on Evolutionary Computation 2008: 2637-2643 - [c63]Dan Ashlock, Elizabeth Warner:
Classifying synthetic and biological DNA sequences with side effect machines. CIBCB 2008: 22-29 - [c62]Dan Ashlock, Taika von Konigslow, Elizabeth Clare, Wendy Ashlock:
Transience in the simulation of ring species. CIBCB 2008: 256-263 - [c61]Dan Ashlock, Colin Lee:
Characterization of extremal epidemic networks with diffusion characters. CIBCB 2008: 264-271 - [c60]Dan Ashlock, Nicholas Rogers:
A model of emotion in the prisoner's dilemma. CIBCB 2008: 272-279 - 2007
- [c59]Daniel A. Ashlock, Justin Schonfeld:
A fractal representation for real optimization. IEEE Congress on Evolutionary Computation 2007: 87-94 - [c58]Daniel A. Ashlock, Eun-Youn Kim, Wendy Ashlock:
Fingerprint analysis of the noisy prisoner's dilemma. IEEE Congress on Evolutionary Computation 2007: 4073-4080 - [c57]Dan Ashlock, Ling Guo:
Evolutionary Parameter Setting of Multi-clustering. CIBCB 2007: 25-31 - [c56]Dan Ashlock, Fatemeh Jafargholi:
Evolving Extremal Epidemic Networks. CIBCB 2007: 338-345 - [c55]Daniel A. Ashlock:
Cooperation in Prisoner's Dilemma on Graphs. CIG 2007: 48-55 - 2006
- [b1]Daniel A. Ashlock:
Evolutionary computation for modeling and optimization. Springer 2006, ISBN 978-0-387-22196-0, pp. I-XIX, 1-571 - [j11]Kenneth Mark Bryden, Daniel A. Ashlock, Steven M. Corns, Stephen J. Willson:
Graph-based evolutionary algorithms. IEEE Trans. Evol. Comput. 10(5): 550-567 (2006) - [j10]Dan Ashlock, Eun-Youn Kim, Nicole P. Leahy:
Understanding representational sensitivity in the iterated prisoner's dilemma with fingerprints. IEEE Trans. Syst. Man Cybern. Syst. 36(4): 464-475 (2006) - [c54]Daniel A. Ashlock, Kenneth Mark Bryden, Steven M. Corns, Justin Schonfeld:
An Updated Taxonomy of Evolutionary Computation Problems using Graph-based Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2006: 96-103 - [c53]Wendy Ashlock, Daniel A. Ashlock:
Changes in Prisoner's Dilemma Strategies Over Evolutionary Time With Different Population Sizes. IEEE Congress on Evolutionary Computation 2006: 297-304 - [c52]Steven M. Corns, Daniel A. Ashlock, Douglas S. McCorkle, Kenneth Mark Bryden:
Improving Design Diversity Using Graph Based Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2006: 333-339 - [c51]Daniel A. Ashlock, Theodore W. Manikas, Kaveh Ashenayi:
Evolving A Diverse Collection of Robot Path Planning Problems. IEEE Congress on Evolutionary Computation 2006: 1837-1844 - [c50]Daniel A. Ashlock, Kenneth M. Bryden, Stephen P. Gent:
Simultaneous Evolution of Bracketed L-system Rules and Interpretation. IEEE Congress on Evolutionary Computation 2006: 2050-2057 - [c49]Daniel A. Ashlock:
Evolutionary Exploration of the Mandelbrot Set. IEEE Congress on Evolutionary Computation 2006: 2079-2086 - [c48]Daniel A. Ashlock, Balu Karthikeyan, Kenneth M. Bryden:
Non-photorealistic Rendering of Images as Evolutionary Stained Glass. IEEE Congress on Evolutionary Computation 2006: 2087-2094 - [c47]Nathan G. Johnson, Balu Karthikeyan, Daniel A. Ashlock, Kenneth M. Bryden:
AMoEBA Image Segmentation: Modeling of Individual Voronoi Tessellations. IEEE Congress on Evolutionary Computation 2006: 2127-2133 - [c46]Justin Schonfeld, Daniel A. Ashlock:
Evaluating Distance Measures for RNA Motif Search. IEEE Congress on Evolutionary Computation 2006: 2331-2338 - [c45]Stephen P. Gent, Daniel A. Ashlock, Allan R. Willms, Kenneth M. Bryden:
Generalized Thermal Agents with Multiple Boundary Conditions and Three-Dimensional Thermal Agents. IEEE Congress on Evolutionary Computation 2006: 3166-3173 - [c44]Dan Ashlock, Wendy Ashlock, Gary Umphry:
An Exploration of Differential Utility in Iterated Prisoner's Dilemma. CIBCB 2006: 1-8 - [c43]Dan Ashlock, Karl Cottenie, Lindsey Carson, Kenneth Mark Bryden, Steven M. Corns:
An Evolutionary Algorithm for the Selection of Geographically Informative Species. CIBCB 2006: 1-7 - [c42]Steven M. Corns, H. Scott Hurd, Dan Ashlock, Kenneth Mark Bryden:
Developing Antibiotic Regimens Using Evolutionary Algorithms. CIBCB 2006: 1-6 - [c41]Justin Schonfeld, Dan Ashlock:
Filtration and Depth Annotation Improve Non-linear Projection for RNA Motif Discovery. CIBCB 2006: 1-8 - [c40]Daniel A. Ashlock:
Grid-Robot Drivers: an Evolutionary Multi-agent Virtual Robotics Task. CIG 2006: 19-26 - [c39]Dan Ashlock:
Training Function Stacks to play the Iterated Prisoner's Dilemma. CIG 2006: 111-118 - 2005
- [j9]Jing Ding, Karthikeyan Viswanathan, Daniel Berleant, Laron M. Hughes, Eve Syrkin Wurtele, Daniel A. Ashlock, Julie A. Dickerson, Andy W. Fulmer, Patrick S. Schnable:
Using the biological taxonomy to access biological literature with PathBinderH. Bioinform. 21(10): 2560-2562 (2005) - [j8]Steven J. Kirstukas, Kenneth M. Bryden, Daniel A. Ashlock:
A hybrid genetic programming approach for the analytical solution of differential equations. Int. J. Gen. Syst. 34(3): 279-299 (2005) - [c38]Daniel A. Ashlock, Adam Sherk:
Non-local adaptation of artificial predators and prey. Congress on Evolutionary Computation 2005: 41-48 - [c37]Steven M. Corns, Daniel A. Ashlock, Kenneth Mark Bryden, David Muth Jr.:
On the effects of representation on evolving grid robots. Congress on Evolutionary Computation 2005: 1135-1140 - [c36]Wendy Ashlock, Dan Ashlock:
Single parent genetic programming. Congress on Evolutionary Computation 2005: 1172-1179 - [c35]Steven M. Corns, Kenneth Mark Bryden, Daniel A. Ashlock:
Solution transfer rates in graph based evolutionary algorithms. Congress on Evolutionary Computation 2005: 1699-1705 - [c34]Daniel A. Ashlock, Kenneth Mark Bryden, Steven M. Corns:
Graph based evolutionary algorithms enhance the identification of Steiner systems. Congress on Evolutionary Computation 2005: 1861-1866 - [c33]Daniel A. Ashlock, Kenneth Mark Bryden, Wendy Ashlock, Stephen P. Gent:
Rapid training of thermal agents with single parent genetic programming. Congress on Evolutionary Computation 2005: 2122-2129 - [c32]Dan Ashlock, Eun-Youn Kim:
Techniques for analysis of evolved prisoner's dilemma strategies with fingerprints. Congress on Evolutionary Computation 2005: 2613-2620 - [c31]Daniel A. Ashlock, Stephen P. Gent, Kenneth Mark Bryden:
Evolution of L-systems for compact virtual landscape generation. Congress on Evolutionary Computation 2005: 2760-2767 - [c30]Dan Ashlock, Justin Schonfeld:
Nonlinear projection for the display of high dimensional distance data. Congress on Evolutionary Computation 2005: 2776-2783 - [c29]Daniel A. Ashlock, Justin Schonfeld:
Depth Annotation of RNA Folds for Secondary Structure Motif Search. CIBCB 2005: 38-45 - [c28]Daniel A. Ashlock, Sheridan K. Houghten:
A Novel Variation Operator for More Rapid Evolution of DNA Error Correcting Codes. CIBCB 2005: 53-60 - [c27]Daniel A. Ashlock, Ruth Swanson, Patrick S. Schnable:
Selection of Genetically Diverse Recombinant Inbreds with an Ordered Gene Evolutionary Algorithm. CIBCB 2005: 237-242 - [c26]Justin Schonfeld, Daniel A. Ashlock:
A study of evolutionary robustness in stochastically tiled polyominos. GECCO 2005: 19-26 - [c25]Daniel A. Ashlock, Eun-Youn Kim:
The impact of cellular representation on finite state agents for prisoner's dilemma. GECCO 2005: 59-66 - 2004
- [j7]Scott J. Emrich, Srinivas Aluru, Yan Fu, Tsui-Jung Wen, Mahesh Narayanan, Ling Guo, Daniel A. Ashlock, Patrick S. Schnable:
A strategy for assembling the maize (Zea mays L.) genome. Bioinform. 20(2): 140-147 (2004) - [c24]Justin Schonfeld, Daniel A. Ashlock:
A comparison of the robustness of evolutionary computation and random walks. IEEE Congress on Evolutionary Computation 2004: 250-257 - [c23]Dan Ashlock, Eun-Youn Kim, Warren K. von Roeschlaub:
Fingerprints: enabling visualization and automatic analysis of strategies for two player games. IEEE Congress on Evolutionary Computation 2004: 381-387 - [c22]Kenneth M. Bryden, Daniel A. Ashlock, Douglas S. McCorkle:
An application of graph based evolutionary algorithms for diversity preservation. IEEE Congress on Evolutionary Computation 2004: 419-426 - [c21]Sunil Suram, Kenneth M. Bryden, Daniel A. Ashlock:
Quantitative trait loci based solution of an inverse radiation heat transfer problem. IEEE Congress on Evolutionary Computation 2004: 427-432 - [c20]Dan Ashlock, Stephen J. Willson, Nicole P. Leahy:
Coevolution and Tartarus. IEEE Congress on Evolutionary Computation 2004: 1618-1624 - [c19]Dan Ashlock, Kenneth M. Bryden, Steven M. Corns:
On taxonomy of evolutionary computation problems. IEEE Congress on Evolutionary Computation 2004: 1713-1719 - [c18]Dan Ashlock, James I. Lathrop:
Program induction: building a wall. IEEE Congress on Evolutionary Computation 2004: 1844-1850 - [c17]Dan Ashlock, Jessica Oftelie:
Simulation of floral specialization in bees. IEEE Congress on Evolutionary Computation 2004: 1859-1864 - [c16]Dan Ashlock, Brad Powers:
The effect of tag recognition on non-local adaptation. IEEE Congress on Evolutionary Computation 2004: 2045-2051 - [c15]Dan Ashlock, Kenneth M. Bryden:
Evolutionary control of Lsystem interpretation. IEEE Congress on Evolutionary Computation 2004: 2273-2279 - [c14]Daniel A. Ashlock, Scott J. Emrich, Kenneth Mark Bryden, Steven M. Corns, Tsui-Jung Wen, Patrick S. Schnable:
A comparison of evolved finite state classifiers and interpolated Markov models for improving PCR primer design. CIBCB 2004: 190-197 - 2003
- [c13]Dan Ashlock, Elizabeth Blankenship, Jonathan Gandrud:
A note on general adaptation in populations of painting robots. IEEE Congress on Evolutionary Computation 2003: 46-53 - [c12]Daniel A. Ashlock, Kenneth M. Bryden:
Thermal agents: an application of genetic programming to virtual engineering. IEEE Congress on Evolutionary Computation 2003: 1340-1347 - [c11]Dan Ashlock, Dean C. Adams, David Doty:
Morphometric grayscale texture analysis using foot patterns. IEEE Congress on Evolutionary Computation 2003: 1575-1581 - 2002
- [c10]Dan Ashlock, Andrew Wittrock, Tsui-Jung Wen:
Training finite state machines to improve PCR primer design. IEEE Congress on Evolutionary Computation 2002: 13-18 - [c9]Daniel A. Ashlock, Ling Guo, Fang Qiu:
Greedy closure evolutionary algorithms. IEEE Congress on Evolutionary Computation 2002: 1296-1301 - 2000
- [j6]Leigh Tesfatsion, Dan Ashlock:
Complexity at Large. Complex. 5(5): 3-10 (2000) - [c8]Dan Ashlock:
Data crawlers for simple optical character recognition. CEC 2000: 706-713 - [c7]Dan Ashlock, James B. Golden III:
Iterated function system fractals for the detection and display of DNA reading frame. CEC 2000: 1160-1167 - [c6]Dan Ashlock, J. Freeman:
A pure finite state baseline for Tartarus. CEC 2000: 1223-1230
1990 – 1999
- 1999
- [j5]Leigh Tesfatsion, Dan Ashlock:
Complexity at large. Complex. 4(3): 3-10 (1999) - [c5]Daniel A. Ashlock, Jennifer L. Davidson:
Texture synthesis with tandem genetic algorithms using nonparametric partially ordered Markov models. CEC 1999: 1157-1163 - [c4]Dan Ashlock, Mark D. Smucker, John Walker:
Graph based genetic algorithms. CEC 1999: 1362-1368 - 1998
- [j4]Leigh Tesfatsion, Dan Ashlock:
Complexity at large. Complex. 3(4): 3-18 (1998) - [j3]Leigh Tesfatsion, Dan Ashlock:
Complexity at large. Complex. 3(5): 3-10 (1998) - [j2]Leigh Tesfatsion, Dan Ashlock:
Complexity at large. Complex. 3(6): 3-11 (1998) - [j1]Leigh Tesfatsion, Dan Ashlock:
Complexity at large. Complex. 4(1): 3-9 (1998) - [c3]Dan Ashlock, John E. Mayfield:
Acquisition of General Adaptive Features by Evolution. Evolutionary Programming 1998: 75-84 - [c2]Dan Ashlock, James I. Lathrop:
A Fully Characterized Test Suite for Genetic Programming. Evolutionary Programming 1998: 537-546 - 1995
- [c1]E. Ann Stanley, Dan Ashlock, Mark D. Smucker:
Iterated Prisoner's Dilemma with Choice and Refusal of Partners: Evolutionary Results. ECAL 1995: 490-502
Coauthor Index
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