John Cartlidge
John Cartlidge
Refinitiv Associate Professor in Financial Informatics and Data Science, University of Bristol, UK
Verified email at - Homepage
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Combating coevolutionary disengagement by reducing parasite virulence
J Cartlidge, S Bullock
Evolutionary Computation 12 (2), 193-222, 2004
Studies of Interactions Between Human Traders and Algorithmic Trading Systems
M De Luca, C Szostek, J Cartlidge, D Cliff
Foresight Report - The Future of Computer Trading in Financial Markets; DR13, 60, 2011
Too fast too furious: faster financial-market trading agents can give less efficient markets
J Cartlidge, C Szostek, M De Luca, D Cliff
4th Int. Conf. Agents and Artif. Intell., Vol. 2 - Agents (ICAART-2012), 126-135, 2012
MPC Joins The Dark Side
J Cartlidge, NP Smart, Y Talibi Alaoui
14th ACM ASIA Conference on Computer and Communications Security (ACM …, 2019
Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization
J Cartlidge, S Bullock
Congress on Evolutionary Computation (CEC '02), 1420-1425, 2002
Extracting activity patterns from taxi trajectory data: A two-layer framework using spatio-temporal clustering, Bayesian probability, and Monte Carlo simulation
S Gong, J Cartlidge, R Bai, Y Yue, Q Li, G Qiu
International Journal of Geographical Information Science 34 (6), 1210-1234, 2020
Rules of engagement: competitive coevolutionary dynamics in computational systems
JP Cartlidge
University of Leeds, 2004
Exploring Assignment-Adaptive (ASAD) Trading Agents in Financial Market Experiments
S Stotter, J Cartlidge, D Cliff
5th Int. Conf. Agents and Artif. Intell., Vol. 1 - Agents (ICAART-2013), 77--88, 2013
Unpicking tartan CIAO plots: Understanding irregular coevolutionary cycling
J Cartlidge, S Bullock
Adaptive Behavior 12 (2), 69-92, 2004
Optimisation of transportation service network using κ-node large neighbourhood search
R Bai, JR Woodward, N Subramanian, J Cartlidge
Computers & Operations Research, 2017
Prospects for computational steering of evolutionary computation
S Bullock, J Cartlidge, M Thompson
Beyond Fitness: Visualizing Evolution---Workshop Proceedings of Eighth …, 2002
Caring versus sharing: How to maintain engagement and diversity in coevolving populations
J Cartlidge, S Bullock
ECAL, 299-308, 2003
Spatio-temporal prediction of shopping behaviours using taxi trajectory data
J Cartlidge, S Gong, R Bai, Y Yue, Q Li, G Qiu
IEEE 3rd International Conference on Big Data Analysis (ICBDA 2018), 112-116, 2018
Behavioural investigations of financial trading agents using Exchange Portal (ExPo)
S Stotter, J Cartlidge, D Cliff
Transactions on Computational Collective Intelligence XVII, 22-45, 2014
Correcting a financial brokerage model for cloud computing: closing the window of opportunity for commercialisation
J Cartlidge, P Clamp
Journal of Cloud Computing: Advances, Systems and Applications 3 (2), 1-20, 2014
Comparison of Cloud Middleware Protocols and Subscription Network Topologies using CReST, the Cloud Research Simulation Toolkit
J Cartlidge, D Cliff
3rd Int. Conf. Cloud Computing and Services Science (CLOSER-2013), 58--68, 2013
Autonomous virulence adaptation improves coevolutionary optimization
J Cartlidge, D Ait-Boudaoud
IEEE Transactions on Evolutionary Computation 15 (2), 215-229, 2011
Exploring the 'robot phase transition' in experimental human-algorithmic markets
J Cartlidge, D Cliff
Foresight Report - The Future of Computer Trading in Financial Markets; DR25, 52, 2012
Multi-Party Computation Mechanism for Anonymous Equity Block Trading: A Secure Implementation of Turquoise Plato Uncross
J Cartlidge, NP Smart, Y Talibi Alaoui
Intelligent Systems in Accounting, Finance and Management 28 (4), 239-267, 2021
Geographical Huff model calibration using taxi trajectory data
S Gong, J Cartlidge, Y Yue, G Qiu, Q Li, J Xin
10th ACM SIGSPATIAL International Workshop on Computational Transportation …, 2017
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