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2020 – today
- 2021
[i1]Lachlan O'Neill, Simon D. Angus, Satya Borgohain, Nader Chmait, David L. Dowe:
Creating Powerful and Interpretable Models withRegression Networks. CoRR abs/2107.14417 (2021)- 2020
- [j2]Nader Chmait, Hans Westerbeek
, Rochelle Eime, Sam Robertson, Carmine Sellitto, Machar Reid:
Tennis influencers: The player effect on social media engagement and demand for tournament attendance. Telematics Informatics 50: 101381 (2020)
2010 – 2019
- 2017
- [b1]Nader Chmait:
Understanding Collective Intelligence in Agent-Based Systems: an Information-Theoretic Approach to the Measurement and Comparison of Intelligence in Groups. Monash University, Australia, 2017 - [j1]José Hernández-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Fernando Martínez-Plumed, Claes Strannegård, Kristinn R. Thórisson:
A New AI Evaluation Cosmos: Ready to Play the Game? AI Mag. 38(3): 66-69 (2017) - [c4]Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green:
An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics. AGI 2017: 225-236 - [c3]Nader Chmait:
Understanding and Measuring Collective Intelligence Across Different Cognitive Systems: An Information-Theoretic Approach. IJCAI 2017: 5171-5172 - 2016
- [c2]Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green, Javier Insa-Cabrera:
Factors of Collective Intelligence: How Smart Are Agent Collectives? ECAI 2016: 542-550 - 2015
- [c1]Nader Chmait, David L. Dowe, David G. Green, Yuan-Fang Li:
Observation, Communication and Intelligence in Agent-Based Systems. AGI 2015: 50-59
Coauthor Index
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