A value-based trust assessment model for multi-agent systems K Chhogyal, A Nayak, A Ghose, HK Dam arXiv preprint arXiv:1905.13380, 2019 | 19 | 2019 |
An empirical study of a simple naive bayes classifier based on ranking functions K Chhogyal, A Nayak AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint …, 2016 | 17 | 2016 |
Probabilistic belief revision via imaging K Chhogyal, A Nayak, R Schwitter, A Sattar PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim …, 2014 | 13 | 2014 |
Probabilistic belief contraction using argumentation K Chhogyal, A Nayak, Z Zhuang, A Sattar Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 3 | 2015 |
Probabilistic belief contraction: Considerations on epistemic entrenchment, probability mixtures and kl divergence K Chhogyal, A Nayak, A Sattar Australasian Joint Conference on Artificial Intelligence, 109-122, 2015 | 2 | 2015 |
On the KL divergence of probability mixtures for belief contraction K Chhogyal, A Nayak, A Sattar Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2015 | 2 | 2015 |
G2I: A principled approach to leveraging the goal-to-information nexus in BDI agents K Chhogyal, A Consoli, A Ghose, H Dam Procedia Computer Science 176, 2675-2684, 2020 | | 2020 |
On Conforming and Conflicting Values K Chhogyal, A Nayak, A Ghose, M Orgun, H Dam arXiv preprint arXiv:1907.01682, 2019 | | 2019 |
Belief Change: A Probabilistic Inquiry K Chhogyal | | 2015 |
A causal model for fluctuating sugar levels in diabetes patients K Chhogyal, A Nayak, R Schwitter, A Sattar The Australasian Medical Journal 5 (9), 497, 2012 | | 2012 |
A Simple Causal Model for Glucose Metabolism in Diabetes Patients K Chhogyal, A Nayak, R Schwitter, A Sattar Australian Workshop on Artificial Intelligence in Health (1st: 2011), 9-18, 2011 | | 2011 |
FINITE HORIZON MDP FRAMEWORK FOR DYNAMIC OFDM RESOURCE ALLOCATION K Chhogyal, I Sasase The 12th International Symposium on Wireless Personal Multimedia …, 2009 | | 2009 |