World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6858
World Ranking
9725
National Ranking
610

Overview

Dave Cliff is affiliated with the University of Bristol in the United Kingdom. Their research primarily spans the fields of Economics, Econometrics and Finance, and Social Sciences, with a strong focus on several subfields including Economics and Econometrics, Finance, Sociology and Political Science, Statistical and Nonlinear Physics, and Management Science and Operations Research.

The main research topics covered in Dave Cliff's work include:

  • Complex Systems and Time Series Analysis
  • Financial Markets and Investment Strategies
  • Evolutionary Game Theory and Cooperation
  • Opinion Dynamics and Social Influence
  • Economic theories and models
  • Sports Analytics and Performance
  • Mathematical and Theoretical Epidemiology and Ecology Models

They have contributed to a variety of publication venues, most frequently appearing in the following:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • 2022 IEEE Symposium Series on Computational Intelligence (SSCI)
  • Chaos Solitons & Fractals
  • bioRxiv (Cold Spring Harbor Laboratory)

Recent representative papers authored by Dave Cliff include:

  • Metapopulation Differential Co-Evolution of Trading Strategies in a Model Financial Market, 2022, 2022 IEEE Symposium Series on Computational Intelligence (SSCI)
  • Parameterised response zero intelligence traders, 2023, Journal of Economic Interaction and Coordination
  • Technical Note: Parameterised-Response Zero-Intelligence (PRZI) Traders, 2021, SSRN Electronic Journal
  • On long-term species coexistence in five-species evolutionary spatial cyclic games with ablated and non-ablated dominance networks, 2024, Chaos Solitons & Fractals

Throughout their career, Dave Cliff has collaborated with several frequent coauthors, including:

  • Charlie Figuero
  • Arwa Bokhari
  • Rasa Guzelyte
  • Nik Alexandrov
  • Michael D. Rollins

Their research often integrates agent-based modeling, evolutionary dynamics, and computational intelligence techniques to explore adaptive behaviors in financial markets, cooperation in evolutionary games, opinion dynamics, and the co-evolution of social and economic systems. This interdisciplinary approach links theoretical models with empirical observations across economics, finance, and social sciences.

Best Publications

  • Explorations in evolutionary robotics

    Dave Cliff;Phil Husbands;Inman Harvey

  • Evolutionary Robotics: the Sussex Approach

    Inman Harvey;Phil Husbands;Dave Cliff;Adrian Thompson

  • Seeing the light: artificial evolution, real vision

    Inman Harvey;Phil Husbands;Dave Cliff

  • Challenges in evolving controllers for physical robots

    Maja J. Matarić;David Cliff

  • Tracking the Red Queen: Measurements of Adaptive Progress in Co-Evolutionary Simulations

    Dave Cliff;Geoffrey F. Miller

  • Issues in evolutionary robotics

    Inman Harvey;Philip Husbands;Dave Cliff

  • Large-scale complex IT systems

    Ian Sommerville;Dave Cliff;Radu Calinescu;Justin Keen

  • Strategic bidding in continuous double auctions

    P. Vytelingum;D. Cliff;N. R. Jennings

  • Creatures: artificial life autonomous software agents for home entertainment

    Stephen Grand;Dave Cliff;Anil Malhotra

  • Adding temporary memory to ZCS

    Dave Cliff;Susi Ross

  • Zero is Not Enough: On The Lower Limit of Agent Intelligence For Continuous Double Auction Markets†

    Dave Cliff;Janet Bruten

  • A financial brokerage model for cloud computing

    Owen R Rogers;Dave Cliff

  • Evolving visually guided robots

    Dave Cliff;Philip Husbands;Inman Harvey

  • Monitoring of user response to performances

    Timothy Alan Heath Wilkinson;David Trevor Cliff

  • Protean behavior in dynamic games: arguments for the co-evolution of pursuit-evasion tactics

    Geoffrey F. Miller;Dave Cliff

  • Creatures: Entertainment Software Agents with Artificial Life

    Stephen Grand;Dave Cliff

  • Computational neuroethology: a provisional manifesto

    Dave Cliff

  • Monitoring the reaction of people to a performance

    Cliff David Trevor;Wilkinson Timothy Alan

  • Incremental evolution of neural network architectures for adaptive behavior.

    Dave Cliff;Inman Harvey;Phil Husbands

  • Explorations in evolutionary design of online auction market mechanisms

    Dave Cliff

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