Kevin B. Korb

According to our database, Kevin B. Korb authored at least 73 papers between 1991 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

The difficulty of being moral.

Yang Li, Lloyd Allison, Kevin B. Korb

Theor. Comput. Sci., 2021

Causal KL: Evaluating Causal Discovery.

Rodney T. O'Donnell, Kevin B. Korb, Lloyd Allison

CoRR, 2021

Markov Blanket Discovery using Minimum Message Length.

Yang Li, Kevin B. Korb, Lloyd Allison

CoRR, 2021

2020

BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning.

Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado

CoRR, 2020

2019

Proving the NP-completeness of optimal moral graph triangulation.

Yang Li, Lloyd Allison, Kevin B. Korb

CoRR, 2019

The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality.

Yang Li, Kevin B. Korb, Lloyd Allison

CoRR, 2019

2018

Inference in the Wild: A Framework for Human Situation Assessment and a Case Study of Air Combat.

Ken I. McAnally, Catherine E. Davey, Daniel White, Murray Stimson, Steven Mascaro, Kevin B. Korb

Cogn. Sci., 2018

2017

Learning Graphical Models.

Kevin B. Korb

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance.

Md. Samiullah, Thao Xuan Hoang, David W. Albrecht, Ann E. Nicholson, Kevin B. Korb

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Applying Dependency Patterns in Causal Discovery of Latent Variable Models.

Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro

Proceedings of the Artificial Life and Computational Intelligence, 2017

2016

Latent Variable Discovery Using Dependency Patterns.

Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro

CoRR, 2016

An empirical study of the co-evolution of utility and predictive ability.

Kevin B. Korb, Lachlan Brumley, Carlo Kopp

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Digital Genesis: Computers, Evolution and Artificial Life.

Tim Taylor, Alan Dorin, Kevin B. Korb

CoRR, 2015

Omnigram Explorer: A Simple Interactive Tool for the Initial Exploration of Complex Systems.

Tim Taylor, Alan Dorin, Kevin B. Korb

Proceedings of the Thirteenth European Conference Artificial Life, 2015

Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling.

Rosa F. Ropero, Ann E. Nicholson, Kevin B. Korb

Proceedings of the Advances in Artificial Intelligence, 2015

2014

Anomaly detection in vessel tracks using Bayesian networks.

Steven Mascaro, Ann E. Nicholson, Kevin B. Korb

Int. J. Approx. Reason., 2014

Intrinsic Learning of Dynamic Bayesian Networks.

Alex Black, Kevin B. Korb, Ann E. Nicholson

Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

2013

A Bayesian Approach to the Validation of Agent-Based Models.

Kevin B. Korb, Nicholas Geard, Alan Dorin

Proceedings of the Ontology, Epistemology, and Teleology for Modeling and Simulation, 2013

Synthetic Population Dynamics: A Model of Household Demography.

Nicholas Geard, James M. McCaw, Alan Dorin, Kevin B. Korb, Jodie McVernon

J. Artif. Soc. Soc. Simul., 2013

2012

Causal Discovery of Dynamic Bayesian Networks.

Cora Beatriz Pérez-Ariza, Ann E. Nicholson, Kevin B. Korb, Steven Mascaro, Chao Heng Hu

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

Incorporating expert knowledge when learning Bayesian network structure: A medical case study.

M. Julia Flores, Ann E. Nicholson, Andrew Brunskill, Kevin B. Korb, Steven Mascaro

Artif. Intell. Medicine, 2011

2010

Learning Graphical Models.

Kevin B. Korb

Proceedings of the Encyclopedia of Machine Learning, 2010

Network Measures of Ecosystem Complexity.

Alan Dorin, Kevin B. Korb

Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010

2009

Generating Incomplete Data with DataZapper.

Yingying Wen, Kevin B. Korb, Ann E. Nicholson

Proceedings of the Agents and Artificial Intelligence - International Conference, 2009

DataZapper: Generating Incomplete Datasets.

Yingying Wen, Kevin B. Korb, Ann E. Nicholson

Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009

Improbable Creativity.

Alan Dorin, Kevin B. Korb

Proceedings of the Computational Creativity: An Interdisciplinary Approach, 12.07., 2009

Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics.

Owen Woodberry, Kevin B. Korb, Ann E. Nicholson

Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

A New Definition of <i>Creativity</i>.

Alan Dorin, Kevin B. Korb

Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

Using Misperception to Counteract Noise in the Iterated Prisoner's Dilemma.

Lachlan Brumley, Kevin B. Korb, Carlo Kopp

Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008

The Causal Interpretation of Bayesian Networks.

Kevin B. Korb, Ann E. Nicholson

Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008

Species Selection of Aging for the Sake of Diversity.

Owen Woodberry, Kevin B. Korb, Ann E. Nicholson

Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

Artificial-Life Ecosystems - What are they and what could they become?

Alan Dorin, Kevin B. Korb, Volker Grimm

Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007

Ethics of AI.

Kevin B. Korb

Proceedings of the Encyclopedia of Information Ethics and Security, 2007

To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators.

Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting

IEEE Trans. Knowl. Data Eng., 2007

Classifying under computational resource constraints: anytime classification using probabilistic estimators.

Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting

Mach. Learn., 2007

Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment.

Carmel A. Pollino, Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Barry T. Hart

Environ. Model. Softw., 2007

Building Virtual Ecosystems from Artificial Chemistry.

Alan Dorin, Kevin B. Korb

Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

A heuristic algorithm for pattern-to-DAG conversion.

Yingying Wen, Kevin B. Korb

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

Take Heart II: A Modular Bayesian Decision Support System.

Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope

Proceedings of the ACSW Frontiers 2007. Proceedings of the Fifth Australasian Symposium on Grid Computing and e-Research (AusGrid 2007), the Fifth Australasian Information Security Workshop (Privacy Enhancing Technologies) (AISW 2007), and the Australasian Workshop on Health Knowledge Management and Discovery (HKMD 2007). Proceedings, Ballarat, Victoria, Australia, January 30, 2007

An Evolutionary Benefit from Misperception in Foraging Behaviour.

Lachlan Brumley, Kevin B. Korb, Carlo Kopp

Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007

2006

The power of intervention.

Kevin B. Korb, Erik P. Nyberg

Minds Mach., 2006

To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles.

Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting

Proceedings of the Machine Learning: ECML 2006, 2006

Causal Discovery with Prior Information.

Rodney T. O'Donnell, Ann E. Nicholson, B. Han, Kevin B. Korb, M. J. Alam, Lucas R. Hope

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Learning Hybrid Bayesian Networks by MML.

Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Ensemble Selection for SuperParent-One-Dependence Estimators.

Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

An Information-Theoretic Causal Power Theory.

Lucas R. Hope, Kevin B. Korb

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

Chapter 24 The Evolution of Aging.

Owen Woodberry, Kevin B. Korb, Ann E. Nicholson

Proceedings of the Recent Advances in Artificial Life, 2005

Chapter 13 An ALife Investigation on the Origins of Dimorphic Parental Investments.

Steven Mascaro, Kevin B. Korb, Ann E. Nicholson

Proceedings of the Recent Advances in Artificial Life, 2005

2004

Introduction: Machine Learning as Philosophy of Science.

Kevin B. Korb

Minds Mach., 2004

Varieties of Causal Intervention.

Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Parameterising Bayesian Networks.

Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

A Bayesian Metric for Evaluating Machine Learning Algorithms.

Lucas R. Hope, Kevin B. Korb

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Bayesian Artificial Intelligence.

Kevin B. Korb, Ann E. Nicholson

Computer science and data analysis series, Chapman & Hall, ISBN: 978-1-58488-387-6, 2004

2002

Bayesian Information Reward.

Lucas R. Hope, Kevin B. Korb

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

Seabreeze Prediction Using Bayesian Networks.

Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson

Proceedings of the Knowledge Discovery and Data Mining, 2001

The Evaluation of Predictive Learners: Some Theoretical and Empirical Results.

Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes

Proceedings of the Machine Learning: EMCL 2001, 2001

Suicide as an Evolutionarily Stable Strategy.

Steven Mascaro, Kevin B. Korb, Ann E. Nicholson

Proceedings of the Advances in Artificial Life, 6th European Conference, 2001

1999

Learning Bayesian Networks with Restricted Causal Interactions.

Julian R. Neil, Chris S. Wallace, Kevin B. Korb

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Bayesian Poker.

Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors.

Julian R. Neil, Kevin B. Korb

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Exploratory Interaction with a Bayesian Argumentation System.

Ingrid Zukerman, Richard McConachy, Kevin B. Korb, Deborah Pickett

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation.

Murlikrishna Viswanathan, Chris S. Wallace, David L. Dowe, Kevin B. Korb

Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1998

The Frame Problem: An AI Fairy Tale.

Kevin B. Korb

Minds Mach., 1998

Attention During Argument Generation And Presentation.

Ingrid Zukerman, Richard McConachy, Kevin B. Korb

Proceedings of the Ninth International Workshop on Natural Language Generation, 1998

A Bayesian Approach to Automating Argumentation.

Richard McConachy, Kevin B. Korb, Ingrid Zukerman

Proceedings of the Joint Conference on New Methods in Language Processing and Computational Natural Language Learning, 1998

Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis.

Ingrid Zukerman, Richard McConachy, Kevin B. Korb

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

A Study of Causal Discovery With Weak Links and Small Samples.

Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Using Bayesian Networks for Abduction in Argumentation.

Ingrid Zukerman, Richard McConachy, Kevin B. Korb

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996

Causal Discovery via MML.

Chris S. Wallace, Kevin B. Korb, Honghua Dai

Proceedings of the Machine Learning, 1996

The discovery of causal models with small samples.

Honghua Dai, Kevin B. Korb, Chris S. Wallace

Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996

1995

Inductive learning and defeasible inference.

Kevin B. Korb

J. Exp. Theor. Artif. Intell., 1995

1994

Infinitely Many Resolutions of Hempel's Paradox.

Kevin B. Korb

Proceedings of the 5th Conference on Theoretical Aspects of Reasoning about Knowledge, 1994

1991

Searle's AI program.

Kevin B. Korb

J. Exp. Theor. Artif. Intell., 1991