Publications

Bayesian Belief Networks (including Knowledge Engineering, Causal Reasoning)

K.B. Korb and A.E. Nicholson. Bayesian Artificial Intelligence. Computer Science and Data Analysis. CRC/Chapman Hall, Boca Raton, 2004.

A. E. Nicholson, C. R. Twardy, K. B. Korb, L. R. Hope, Decision support for clinical cardiovascular risk assessment, in (Patrick Naim, CEO of a French +consulting company called Elseware, and Bruce G. Marcot, (Eds) {\em Bayesian Belief Networks: A Practical Guide to Applications}, Wiley, 2008. (Accepted May 2007.)

K.B. Korb and A. E. Nicholson, The causal interpretation of Bayesian networks (To appear, accepted 2007.)

P Newham, T Boneh, G T Weymouth, R Potts, J Bally, A E Nicholson and K B Korb: Fog forecasting at Melbourne airport using Bayesian networks, Proceedings of the Fourth International Conference on Fog, Fog Collection and Dew, 22 July 2007 to 27 July 2007, Pontificia Universidad Catolica de Chile, Chile, pp. 291-294.

G T Weymouth, T Boneh, P Newham, J Bally, R Potts, A E Nicholson and K B Korb: Dealing with uncertainty in fog forecasting for major airports in Australia, Proceedings of the Fourth International Conference on Fog, Fog Collection and Dew, 22 July 2007 to 27 July 2007, Pontificia Universidad Catolica de Chile, Chile, pp. 73-76.

L R Hope, A E Nicholson and K B Korb: TakeHeart II: A tool to support clinical cardiovascular risk assessment, Clayton School of Information Technology, Monash University, Melbourne 16pp. Technical report 2007/209.

Charles R. Twardy, Ann E. Nicholson, Kevin B. Korb, John McNeil. Epidemiological data mining of cardiovascular Bayesian networks. electronic Journal of Health Informatics (eJHI), Vol 1, No 1 (2006).

T. Boneh, A. Nicholson, and L. Sonenberg. Matilda: A Visual Tool for Modelling with Bayesian Networks. International Journal of Intelligent Systems, vol 21, ed 11, pp. 1127-1150. Wiley, 2006.

A. Tang, A. Nicholson, Y. Jin and J. Han. Using Bayesian Belief Networks for Change Impact Analysis in Architecture Design. Journal of Systems and Software, vol 80, issue 1, Elsevier Inc, USA, pp. 127-148, 2007.

C.A. Pollino, O. Woodberry, A. Nicholson, K. Korb, B. T. Hart. Parameterisation of a Bayesian network for use in an ecological risk management case study. Journal of Environment and Modelling Simulation, (Special Issue on Bayesian Networks in environmental management and planning), 22(8): 1140-1152, 2007.

R T O'Donnell, A E Nicholson, B Han, K B Korb, M J Alam, L R Hope: Causal discovery with prior information, Lecture Notes in Artificial Intelligence, vol 4304, Springer-Verlag, Berlin Germany, pp. 1162-1167.

R T O'Donnell, A E Nicholson, B Han, K B Korb, M J Alam and L R Hope: Incorporating Expert Elicited Structural Information in the CaMML Causal Discovery Program, Clayton School of Information Technology, Monash University , Melbourne. Technical report 2006/194.

Thomas, C., B. Hart, A. Nicholson, M. Grace, J. Brodie and C. Pollino (2005). Development of Criteria for Simplifying Ecological Risk Models. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 772-778. ISBN: 0-9758400-2-9. http://www.mssanz.org.au/modsim05/papers/thomas.pdf

A. Tang, Y. Jin, J. Han, A. Nicholson. Predicting Change Impact in Architecture Design with Bayesian Belief Networks, In Proceedings of WICSA 2005, the 5th Working IEEE/IFIP Conference on Software Architecture, Pittsburgh, Pennsylvannia, USA, November 6-10, 2005.

C.R. Twardy, A.E. Nicholson, and K.B. Korb. Data Mining Cardiovascular Bayesian Networks. Technical report 2005/170. Clayton School of IT, Monash University, 2005. Abstract available.

C.R. Twardy, A.E. Nicholson, K.B. Korb and J. McNeil. Data Mining Cardiovascular Bayesian Networks. Technical report 2004/165. School of Computer Science and Software Engineering, Monash University, 2004. Abstract available.

Pollino, C.A., Woodberry, O., Nicholson, A.E. and Korb, K.B., 2005. Parameterising Bayesian Networks: A Case Study in Ecological Risk Assessment. In: V. Kachitvichyysnukul, U. Purintrapiban and P. Utayopas (Eds), Proceedings of the 2005 Conference on Simulation and Modelling, Bangkok, Thailand, pp. 289-297.

O. Woodberry, A.E. Nicholson, K.B. Korb, and C. Pollino. Parameterising Bayesian Networks. in G. I. Webb and X. Yu (eds). Lecture Notes in Artificial Intelligence, (Proceedings of the 17th Australian Joint Conference on Advances in Artificial Intelligence [AI'04], Cairns, Australia, 4-6 December 2004), Springer-Verlag, Berlin, Germany, Vol 3339, pp 1101-1107.

O. Woodberry, A.E. Nicholson, K.B. Korb, and C. Pollino. Parameterising Bayesian Networks: A case study in ecological risk assessment. Technical Report TR 2004/159, School of Computer Science and Software Engineering, Monash University, 2004. Abstract available.

J. Bally, T. Boneh, A. E. Nicholson and K.B. Korb. In Proceedings of DSS2004, The IFIP International Conference on Decision Support Systems: Decision Support in an Uncertain and Complex World Developing An Ontology for the Meteorological Forecasting Process. Prato, Italy, 2004.

K.B. Korb, L.R. Hope, A.E. Nicholson and K. Axnick. Varieties of Causal Intervention, in C. Zhang, H.W. Guesgen and W.K. Yeap (eds), Lecture Notes in Artificial Intelligence, (Proceedings of the 8th Pacific Rim International Conference on Artificial Intelligence,[PRICAI 2004], Auckland, New Zealand, August 2004), Springer-Verlag, Berlin, Germany, Vol 3157, pp 322-331.

K. Stacey, E. Sonenberg, A. Nicholson, T. Boneh and V. Steinle. A Teaching Model Exploiting Cognitive Conflict Driven by a Bayesian Network, in P Brusilovsky, A Corbett and F de Rosis (eds), Lecture Notes in Artificial Intelligence, Proceedings of the 9th International Conference on User Modelling UM-03, Springer-Verlag, Berlin, Germany, ISSN: 0302-9743, Vol 2702, pp 352-362.

L R Hope, A E Nicholson and K B Korb: Knowledge Engineering Tools for Probability Elicitation, School of Computer Science and Software Engineering, Monash University, 2002, 10pp. Technical report 2002/111. Abstract available.

A. Nicholson, T. Boneh, T. Wilkin, K. Stacey, L.Sonenberg and V. Steinle. A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application In UAI01 -- Proc. of the 17th Conference on Uncertainty in Artificial Intelligence Seattle, 2001, pp. 386-394.

R. Kennett, K.B. Korb and A.E. Nicholson Seabreeze prediction using Bayesian networks. In PAKDD'01 -- Proc. of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining), pages 148-153, Hong Kong, 2001.

R. Kennett, K.B. Korb and A.E. Nicholson Seabreeze prediction using Bayesian networks: A case study. Technical Report TR 2001/86, School of Computer Science and Software Engineering, Monash University, 2001. Abstract available.

T. Wilkin and A. Nicholson. Efficient Inference in Dynamic Belief Networks with Variable Temporal Resolution. In Mizoguchi and J Slaney (eds), Lecture Notes in Artificial Intelligence in Computer Science, PRICAI 2000, Topics in Artificial Intelligence, (Proceedings of the 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia) , Springer-Verlag, Berlin, Germany, Vol 1886, pp 264-274, 2000. In PRICAI'00 -- Proceedings of the 6th Pacific Rim International Conference on Artificial Intelligence, pages 264-274, 2000.

K.B. Korb, A.E. Nicholson and N. Jitnah (1999) Bayesian Poker. In Proc. of Uncertainty in Artificial Intelligence, pp. 343-350, Stockholm, Sweden, August, 1999.

A. E. Nicholson. Fall diagnosis using dynamic belief networks. In Proc. of the 4th Pacific Rim International Conf. on Artificial Intelligence (PRICAI-96), Cairns, Australia, August, 1996.

A. E. Nicholson A case study in dynamic belief networks: monitoring walking, fall prediction and detection. Technical Report 96/251, 17pp. Department of Computer Science, Monash University, 1996. (Similar to PRICAI-96 paper) Abstract available.

A. E. Nicholson and J. M. Brady. Dynamic belief networks for discrete monitoring. IEEE Systems, Man and Cybernetics, 24(11):1593-1610, 1994.

A. E. Nicholson and J. M. Brady. The data association problem when monitoring robot vehicles using dynamic belief networks. In Proc. of the 10th European Conf. on Artificial Intelligence (ECAI-92), pages 689-693, 1992.

A. E. Nicholson and J. M. Brady. Sensor validation using dynamic belief networks. In Proceedings of the 8th Conference on Uncertainty in Artificial Intelligence, pages 207-214, 1992.

A. E. Nicholson and S. R. Russell. Techniques for handling inference complexity in dynamic belief networks. Technical Report CS-93-31, Department of Computer Science, Brown University, 1993.

Belief Network Algorithms

N. Jitnah. and A. E. Nicholson. Arc Weights for Approximate Evaluation of Dynamic Belief Networks. AI99, pp. 393-404, Sydney, 1999.

A. E. Nicholson and N. Jitnah. Using Mutual Information to determine Relevance in Bayesian Networks. In PRICAI'98 -- Proceedings of the 5th Pacific Rim International Conference on Artificial Intelligence, pages 399-410, Singapore, 1998.

N. Jitnah and A.E. Nicholson. Belief network inference algorithms: A study of performance based on domain characterisation. Springer LNCS/LNAI Series, No. 1359. {\em Proceedings of the Pacific Rim International Conference on AI (PRICAI'96): Workshop on Reasoning with Incomplete and Changing Information}, pages 169-188, Cairns, Springer-Verlag.

N. Jitnah and A. E. Nicholson. Weight-directed search for anytime evaluation of belief networks. In Proc. of The Fourth International Conference on Neural Information Processing (ICONIP'97), pages 600-601, Dunedin, New Zealand, 1997.

N. Jitnah and A. E. Nicholson. Weight-directed search for anytime evaluation of belief networks. Technical Report 97/309, Department of Computer Science, Monash University, 1997. Abstract available.

N. Jitnah and A.E. Nicholson. A best-first search method for anytime evaluation of belief networks. In AAAI 97: Workshop on Building Resource-Bounded Reasoning Systems, 1997.

N. Jitnah and A.E. Nicholson. treenets: A framework for anytime evaluation of belief networks. In Proc. of International Joint Conference on Qualitative and Quantitative Practical Reasoning, pages 350-364, Seminaris, Bad Honnef, Germany, 1997.

A.E. Nicholson and N. Jitnah. Belief network algorithms: a study of performance using domain characterisation. Technical Report 96/249, 33pp. Department of Computer Science, Monash University, 1996. Abstract available.

User Modelling and Plan Recognition

Zukerman, I., Nicholson, A., and Albrecht, D. (1999). Evaluation Methods for Learning about Users. In IJCAI99 Learning about Users Workshop, pp. 13-20, Sweden.

Albrecht, D., Zukerman, I., and Nicholson, A. (1999). Pre-sending Documents on the WWW: A Comparative Study. In IJCAI99, pp. 1274-1279, Sweden.

Zukerman, I., Albrecht, D. and Nicholson, A. (1999). Predicting Users' Requests on the {WWW}. In UM99 -- The Seventh International Conference on User Modeling, pp. 275-284, Banff, Canada.

A. E. Nicholson, I. Zukerman and D. W. Albrecht. A Decision-theoretic Approach for Pre-sending Information on the WWW. In PRICAI'98 -- Proceedings of the 5th Pacific Rim International Conference on Artificial Intelligence, pages 575-586, Singapore, 1998.

A E Nicholson, I Zukerman and D W Albrecht: A decision-theoretic approach for pre-sending information on the WWW, (Technical Report 1998/15), School of Computer Science and Software Engineering, Monash University, Melbourne, 12pp. Technical report 1998/15. Abstract available.

D. W. Albrecht, I. Zukerman and A. E. Nicholson. Bayesian Models for Keyhole Plan Recognition in an Adventure Game. User Modeling and User-Adapted Interaction, 8(1-2), pages 5-47, Kluwer Academic Publishers, 1998.

D W Albrecht, I Zukerman and A E Nicholson. Bayesian models for keyhole plan recognition in an adventure game, 97/328, Dept Computer Science Technical Reports, Dept Computer Science, Monash University, Melbourne Australia, 1-41, 41pp. Technical report CS 97/328. Abstract available.

D. W. Albrecht, A. E. Nicholson and I. Zukerman. Knowledge Acquisition for Goal Prediction in a Mulit-User Adventure Game. In PAKDD'98 -- Proceedings of the Second Pacific-Asia Conferenc e on Knowledge Discovery and Data Mining, pages 1-12, Melbourne, Australia, 1998.

D. W. Albrecht, I. Zukerman, A. E. Nicholson, and A. Bud. Towards a Bayesian model for keyhole plan recognition in large domains. In Proc. of Sixth International Conference on User Modeling, pages 365-376, Sardinia, Italy, 1997.

Planning under Uncertainty

T. Wilkin, A. Nicholson and T. Dix. A Probabilistic prediction-based replanning architecture for a UAV. In IAV-2004 -- Proceedings of the 5th Symposium on Intelligent Autonomous Vehicles, Lisbon, Portugal, 2004.

J. Baum and A. E. Nicholson. Dynamic non-uniform abstractions for approximate planning in large structured stochastic domains. In PRICAI'98 -- Proceedings of the 5th Pacific Rim International Conference on Artificial Intelligence, pages 587-598, Singapore, 1998.

J Baum and A E Nicholson: Dynamic non-uniform abstractions for approximate planning in large structures stochastic domains, (Technical report 98/18) School of Computer Science and Software Engineering, Monash University, Melbourne, 18pp. Technical report 1998/18. Abstract available.

T. Dean, L. P. Kaelbling, J. Kirman and A. Nicholson. Planning under time constraints in stochastic domains. Artificial Intelligence, 76(1-2):35-74, 1995.

A. E. Nicholson and L. P. Kaelbling. Toward approximate planning in very large stochastic domains. In Proceedings of the AAAI Spring Symposium on Decision Theoretic Planning, Stanford, California, 1994.

J. Kirman, A. Nicholson, M. Lejter, E. Santos, and T. Dean. Using goals to find plans with high expected utility. In E. Sandewall and C. Backstrom, editors, Current Trends in AI Planning, pages 158-170, Amsterdam, 1994. IOS Press.

T. Dean, L. P. Kaelbling, J. Kirman and A. Nicholson, Deliberation scheduling for time-critical sequential decision making. In Proceedings of the Ninth Conference on Uncertainty in AI, pages 309-316, 1993.

T. Dean, L. P. Kaelbling, J. Kirman and A. Nicholson. Planning with deadlines in stochastic domains. In Proceedings AAAI-93, pages 574-579. AAAI, 1993.

Intelligent Agents

A. E. Nicholson, I. Zukerman and C. Oliver. Towards a Society of Affect-driven Agents. In Proc. of COGSCI98, pages 776-781, Madison, Wisconsin, August 1998.

A. E. Nicholson and A. Dutta. Intelligent agents for an interactive multi-media game. In Proc. of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'97), pages 76-80, Gold Coast, Australia, 1997.

Teaching

J Sheard, G S Lowe, A Nicholson and J Ceddia. Tackling Transition: Exposing Secondary School Students to Tertiary IT Teaching and Learning. Journal of Information Technology Education, Information Science Institute, CA, USA, ISSN: 1539-3585, pp 165-180.

A. E. Nicholson and K. M. Fraser. Comparing the impact of two assignment-base teaching methodologies on student programming. Journal of Computer Science Education, 12(1-2):21 - 26, 1997.

A. E. Nicholson and K. M. Fraser. Methodologies for teaching new programming languages: A case study teaching lisp. In Proc. of Second Australasian Computer Science Education Conference, pp. 84-90, Melbourne, Australia, 1997.

Miscellaneous

S Zandara and A E Nicholson: Square root unscented particle filtering for grid mapping, Proceedings of the 22nd Australasian Joint Conference AI 2009: Advances in Artificial Intelligence, 1 December 2009 to 4 December 2009, Springer-Verlag, Berlin Germany, pp. 121-130.

O. Woodberry, K.B. Korb and A.E. Nicholson, ``A Simulation study of the Evolution of Aging,'' Evolutionary Ecology Research. (To appear, Accepted June 2007)

O. Woodbery, K. Korb, A. Nicholson. The Evolution of Aging. To appear in the Proceedings of the Second Australian Conference on Artificial Life ACAL 2005, Sydney, Australia, 2005

S. Mascaro, K. Korb, A. Nicholson. An ALife investigation on the origins of dimorphic parental investments. To appear in the Proceedings of the Second Australian Conference on Artificial Life ACAL 2005, Sydney, Australia, 2005

S. Mascaro, K.B. Korb and A.E. Nicholson (2002) ALife Investigation of Parental Investment in Reproductive Strategies, In ALIFE VIII - Proc. of The 8th International Conference on the Simulation and Synthesis of Living Systems, pp. 358-361.

S Mascaro, K B Korb and A E Nicholson. Parental Investment and Reproductive Strategies, School of Computer Science and Software Engineering, Monash University, Melbourne, 11pp. Technical report 2002/112. Abstract available.

S. Mascaro, K.B. Korb and Ann E. Nicholson (2001) Suicide as an Evolutionarily Stable Strategy. In ECAL2001 -- Proc. of the 6th European Conference on Artificial Life, pp. 120-132.

S Mascaro, K B Korb and A E Nicholson. Suicide as an evolutionary stable strategy, School of Computer Science and Software Engineering, Monash University, Melbourne, 12pp. Technical report 2001/89. Abstract available.

Bud, A.~E., Nicholson, A., Albrecht, D. and Zukerman, I. (2001). Playing Invisible Chess with Information-Theoretic Advisors. In 2001 AAAI Spring Symposium G3: Game Theoretic and Decision Theoretic Agents , March 26 -28, Stanford University, California, 2001.

A.E. Bud, D.W. Albrecht, A.E. Nicholson and I. Zukerman, Information-Theoretic Advisors in Invisible Chess. In AI and STATISTICS 2001 -- Proc. of the Eighth International Workshop on Artificial Intelligence and Statistics, January 4-7, Florida, 2001.

M J Abrantes and A E Nicholson (2000). Knowledge-based assembly modelling for assembly sequence planning of mechanical products. In Proceedings of The Eighth International Conference on Manufacturing Engineering (ICME 2000), pages 323-327 (CD-ROM), 2000.

K.B. Korb and Ann E. Nicholson (2000). The Essential Roles of Emotion in Cognitive Architecture. In Behavioral and Brain Sciences, 26, pages 205-206.

Bud, A.~E., Nicholson, A., Zukerman, I. and Albrecht, D. (1999). A Hybrid Architecture for Stategically Complex Imperfect Information Games. In KES'99 -- Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, Adelaide, Australia.

M J Abrantes, C White and A E Nicholson: Minimal infeasible sets of connections: a representation for efficient assembly sequence planning, Proceedings, 1997 IEEE International Symposium on Assembly and Task Planning, IEEE, Piscataway NJ USA, pp. 275-280.

L Sonenberg and A E Nicholson. Proceedings of the Fourth Australian Women in Computing Workshop, 97/319, Dept Computer Science Technical Reports, Dept Computer Science, Monash University, Melbourne Australia, 1-68, 68pp. Technical report CS 97/319. Abstract available.

A. Bud and A. E. Nicholson. Scheduling trains with genetic algorithms. In Proc. of The Fourth International Conference on Neural Information Processing (ICONIP'97, joint with ANZIIS'97 and ANNES'97), Dunedin, New Zealand, 1997, pp. 1017-1020.

A Bud, A E Nicholson and B Chandra. Scheduling trains with genetic algorithms, 96/250, Dept Computer Science Technical Reports, Dept Computer Science, Monash Univ, Melbourne Australia, 1-80, 80pp. Technical report CS 96/250. Abstract available.

A. E. Nicholson. Declarative debugging of the parallel logic programming language ghc. In Proc. of the 11th Australian Computer Science Conference, pages 225-236, 1988.

A. E. Nicholson, Logic programming models for parallel parsing in natural language. Technical Report 89/11, Dept. of Computer Science, University of Melbourne, 1989.

A. E. Nicholson, Declarative debugging of the parallel logic programming language GHC. Technical Report 87/12, Dept. of Computer Science, University of Melbourne, 1987.

Theses

A. E. Nicholson, ``Monitoring Discrete Environments Using Dynamic Belief Networks" D.Phil. thesis, Robotics Research Group, Dept. of Engineering Science, Oxford University, 1992.

A. E. Nicholson, ``Logic programming models for parallel parsing in natural language", M.Sc. thesis, University of Melbourne, 1989.