Abhaya Nayak

Associate Professor

  • 358 Citations
  • 9 h-Index
19942018
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Projects 2005 2015

Dynamics of Causal Knowledge

Nayak, A., Sattar, A. & Delgrande, J. P.

3/02/15 → …

Project: Research

Trust, Belief and their Interaction

Nayak, A.

21/01/1520/07/15

Project: Research

Academic integrity in Australia - understanding and changing culture and practice

Nayak, A., Richards, D., Homewood, J., Solomonides, I., McGuigan, N., White, F., Owens, C., Vallance, R., Cameron, L. & McCabe, D.

27/06/1230/05/14

Project: Research

Research Output 1994 2018

Maximizing expected impact in an agent reputation network

Rens, G., Nayak, A. & Meyer, T., 1 Jan 2018, KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, 2018, Proceedings. Trollmann, F. & Turhan, A-Y. (eds.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 99-106 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11117 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Multi agent systems
Partially Observable Markov Decision Process
Stochastic Systems
Multi-agent Systems
Specifications

Probabilistic belief revision via similarity of worlds modulo evidence

Rens, G., Meyer, T., Kern-Isberner, G. & Nayak, A., 1 Jan 2018, KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, 2018, Proceedings. Trollmann, F. & Turhan, A-Y. (eds.). Cham, Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 343-356 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11117 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Belief Revision
Belief Change
Modulo
Semantics
Switches

An empirical study of a simple naive Bayes classifier based on ranking functions

Chhogyal, K. & Nayak, A., 2016, AI 2016: Advances in Artificial Intelligence - 29th Australasian Joint Conference, Proceedings. Cham, Switzerland: Springer, Springer Nature, Vol. 9992 LNAI. p. 324-331 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9992 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Ranking Function
Naive Bayes Classifier
Empirical Study
Spam
Classifiers

Causal basis for probabilistic belief change: Distance vs. closeness

Mishra, S. & Nayak, A., 2016, Multi-disciplinary Trends in Artificial Intelligence - 10th International Workshop, MIWAI 2016, Proceedings. Sombattheera, C., Stolzenburg, F., Lin, F. & Nayak, A. (eds.). Cham, Switzerland: Springer, Springer Nature, Vol. 10053 LNAI. p. 112-125 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10053 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Belief Change
Imaging
Imaging techniques
Conditioning
Converse

Distributed genetic algorithm on graphX

Mishra, S., Lee, Y. C. & Nayak, A., 2016, AI 2016: Advances in Artificial Intelligence - 29th Australasian Joint Conference, Proceedings. Cham, Switzerland: Springer, Springer Nature, Vol. 9992 LNAI. p. 548-554 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9992 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Distributed Algorithms
Parallel algorithms
Genetic algorithms
Genetic Algorithm
Processing

Prizes

Marco Cadoli Best Student Paper Award

Abhaya Nayak (Recipient), Jandson S. Ribeiro (Recipient) & Renata Wassermann (Recipient), 30 Oct 2018

Prize

student