| A new AI evaluation cosmos: Ready to play the game? J Hernández-Orallo, M Baroni, J Bieger, N Chmait, DL Dowe, K Hofmann, ... AI Magazine 38 (3), 66-69, 2017 | 69 | 2017 |
| Factors of collective intelligence: How smart are agent collectives? N Chmait, DL Dowe, YF Li, DG Green, J Insa-Cabrera ECAI 2016, 542-550, 2016 | 44 | 2016 |
| A dynamic intelligence test framework for evaluating AI agents N Chmait, YF Li, DL Dowe, DG Green Proceedings of 1st International Workshop on Evaluating General-Purpose AI …, 2016 | 37 | 2016 |
| Observation, communication and intelligence in agent-based systems N Chmait, DL Dowe, DG Green, YF Li International Conference on Artificial General Intelligence, 50-59, 2015 | 34 | 2015 |
| An information-theoretic predictive model for the accuracy of AI agents adapted from psychometrics N Chmait, DL Dowe, YF Li, DG Green International conference on artificial general intelligence, 225-236, 2017 | 32 | 2017 |
| Tennis influencers: the player effect on social media engagement and demand for tournament attendance N Chmait, H Westerbeek, R Eime, S Robertson, C Sellitto, M Reid Telematics and Informatics 50, 101381, 2020 | 29 | 2020 |
| Using simulated annealing and ant-colony optimization algorithms to solve the scheduling problem N Chmeit Notre Dame University-Louaize, 2012 | 22 | 2012 |
| Measuring universal intelligence in agent-based systems using the anytime intelligence test N Chmait, DL Dowe, DG Green, YF Li, J Insa-Cabrera Monash University, 2015 | 12 | 2015 |
| Tennis superstars: The relationship between star status and demand for tickets N Chmait, S Robertson, H Westerbeek, R Eime, C Sellitto, M Reid Sport Management Review 23 (2), 330-347, 2020 | 10 | 2020 |
| Understanding and Measuring Collective Intelligence Across Different Cognitive Systems: An Information-Theoretic Approach. N Chmait IJCAI, 5171-5172, 2017 | 9 | 2017 |
| Modeling Real-Estate search service using GIS technology N Amaneddine, N Chmait 2009 17th International Conference on Geoinformatics, 1-5, 2009 | 4 | 2009 |
| Creating powerful and interpretable models with regression networks L O'Neill, S Angus, S Borgohain, N Chmait, DL Dowe arXiv preprint arXiv:2107.14417, 2021 | 3 | 2021 |
| Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-data Scientists N Chmait, H Westerbeek Frontiers in Sports and Active Living, 363, 2021 | 2 | 2021 |
| Simulating exploration versus exploitation in agent foraging under different environment uncertainties N Chmait, DL Dowe, DG Green, L Yuan-Fang Behavioral and Brain Sciences 42, 2019 | 2 | 2019 |
| Agent coordination and potential risks: Meaningful environments for evaluating multiagent systems N Chmait, DL Dowe, DG Green, YF Li Evaluating General-Purpose AI, IJCAI Workshop, 2017 | 2 | 2017 |
| The Lambda Star intelligence test code-base N Chmait GitHub Repository, 2016 | 2 | 2016 |
| Game theory and Artificial Intelligence in just preservation DL Dowe, N Chmait Animal Sentience 4 (27), 22, 2020 | 1 | 2020 |
| Understanding Collective Intelligence in Agent-Based Systems: an Information-Theoretic Approach to the Measurement and Comparison of Intelligence in Groups N Chmait Monash University, 2017 | 1 | 2017 |
| Creating Powerful and Interpretable Models withRegression Networks L O'Neill, S Angus, S Borgohain, N Chmait, DL Dowe arXiv e-prints, arXiv: 2107.14417, 2021 | | 2021 |
| Game theory and artificial intelligence in just preservation DL Dowe, N Chmait Animal Sentience 27, 27, 2019 | | 2019 |
David L DoweMonash UniversityVerified email at monash.edu
