John Cartlidge

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Behavioural Investigations of Financial Trading Agents Using Exchange Portal (ExPo)

Dave Cliff, Steve Stotter, John Cartlidge, 2014, Trans. Comput. Collect. Intell..

Estimating Demand for Dynamic Pricing in Electronic Markets

John Cartlidge, Steve Phelps, S. Phelps, 2011 .

Correcting a financial brokerage model for cloud computing: closing the window of opportunity for commercialisation

John Cartlidge, Philip Clamp, P. Clamp, 2014, Journal of Cloud Computing.

Autonomous Virulence Adaptation Improves Coevolutionary Optimization

John Cartlidge, Djamel Ait-Boudaoud, D. Ait-Boudaoud, 2011, IEEE Transactions on Evolutionary Computation.

Trading Experiments using Financial Agents in a Simulated Cloud Computing Commodity Market

John Cartlidge, 2014, ICAART.

Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems

John Cartlidge, 2008 .

Unpicking Tartan CIAO Plots: Understanding Irregular Coevolutionary Cycling

Seth Bullock, John Cartlidge, S. Bullock, 2004, Adapt. Behav..

Geographical Huff Model Calibration using Taxi Trajectory Data

Qingquan Li, Yang Yue, Guoping Qiu, 2017, IWCTS@SIGSPATIAL.

Agent-Based Model Exploration of Latency Arbitrage in Fragmented Financial Markets

John Cartlidge, Matthew Duffin, J. Cartlidge, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Comparison of Cloud Middleware Protocols and Subscription Network Topologies using CReST, the Cloud Research Simulation Toolkit - The Three Truths of Cloud Computing are: Hardware Fails, Software has Bugs, and People Make Mistakes

Dave Cliff, John Cartlidge, D. Cliff, 2013, CLOSER.

EMSS-2011: Proceedings of the 23rd European Modeling & Simulation Symposium

John Cartlidge, Ilango Sriram, 2011, ANSS 2011.

Advances in Artificial Life: Proceedings of the Seventh European Conference on Artificial Life (ECAL 2003)

Seth Bullock, John Cartlidge, S. Bullock, 1999 .

Modelling Resilience in Cloud-Scale Data Centres pdf

John Cartlidge, Ilango Sriram, J. Cartlidge, 2011, ANSS 2011.

Dynamically adapting parasite virulence to combat coevolutionary disengagement

John Cartlidge, 2008, ALIFE.

Towards adaptive ex ante circuit breakers in financial markets using human-algorithmic market studies

John Cartlidge, J. Cartlidge, 2016 .

Activity Modelling Using Journey Pairing of Taxi Trajectory Data

Yang Yue, Qingquan Li, Guoping Qiu, 2019, 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA).

Evidencing the "robot phase transition" in experimental human-algorithmic markets

Dave Cliff, John Cartlidge, D. Cliff, 2012, ICAART 2012.

Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation

Qingquan Li, Guoping Qiu, Yang Yue, 2020, Int. J. Geogr. Inf. Sci..

Spatio-temporal prediction of shopping behaviours using taxi trajectory data

Qingquan Li, Yang Yue, Guoping Qiu, 2018, 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA).

Rules of engagement : competitive coevolutionary dynamics in computational systems

John Cartlidge, J. Cartlidge, 2004 .

Pricing the cloud: an adaptive brokerage for cloud computing

John Cartlidge, Philip Clamp, 2013 .

Combating Coevolutionary Disengagement by Reducing Parasite Virulence

Seth Bullock, John Cartlidge, S. Bullock, 2004, Evolutionary Computation.

Caring versus Sharing: How to Maintain Engagement and Diversity in Coevolving Populations

Seth Bullock, John Cartlidge, S. Bullock, 2003, ECAL.

Optimisation of transportation service network using κ-node large neighbourhood search

John R. Woodward, Ruibin Bai, Nachiappan Subramanian, 2018, Comput. Oper. Res..

Fools Rush In: Competitive Effects of Reaction Time in Automated Trading

John Cartlidge, Henry Hanifan, 2020, ICAART.

Prospects for Computational Steering of Evolutionary Computation

Seth Bullock, John Cartlidge, M. Thompson, 2002 .

Automated prediction of shopping behaviours using taxi trajectory data and social media reviews

Qingquan Li, Yang Yue, Guoping Qiu, 2018, 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA).

Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization

Seth Bullock, John Cartlidge, S. Bullock, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

MPC Joins The Dark Side

Nigel P. Smart, Younes Talibi Alaoui, John Cartlidge, 2019, IACR Cryptol. ePrint Arch..

An Analysis of Evolutionary Computation used in Image Processing Techniques

John Cartlidge, J. Cartlidge, 2000 .

Proceedings of 6th International Conference on Agents and Artificial Intelligence (ICAART-2014)

John Cartlidge, 2014, ICAART 2014.

Flying by the seat of their pants: what can high frequency trading learn from aviation?

Gordon D. Baxter, John Cartlidge, 2013, ATACCS.

Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms

John Cartlidge, Hugo Alcaraz-Herrera, J. Cartlidge, 2021, IJCCI.

Kicking-the-Bucket: Fast Privacy-Preserving Trading Using Buckets

Nigel P. Smart, Antigoni Polychroniadou, Younes Talibi Alaoui, 2021, IACR Cryptol. ePrint Arch..

The Limit Order Book Recreation Model (LOBRM): An Extended Analysis

Zijian Shi, John Cartlidge, J. Cartlidge, 2021, ECML/PKDD.

Estimating Consumer Demand From High-Frequency Data

John Cartlidge, Steve Phelps, 2010 .

Studies of Interaction Between Human Traders and Algorithmic Trading Systems

Dave Cliff, John Cartlidge, D. Cliff, 2011 .