Searle's AI program. - Kevin B. Korb (J. Exp. Theor. Artif. Intell., 1991)

Infinitely Many Resolutions of Hempel's Paradox. - Kevin B. Korb (TARK, 1994)

Inductive learning and defeasible inference. - Kevin B. Korb (J. Exp. Theor. Artif. Intell., 1995)

The discovery of causal models with small samples. - Honghua Dai 001; Kevin B. Korb; Chris S. Wallace (ANZIIS, 1996)

Causal Discovery via MML. - Chris S. Wallace; Kevin B. Korb; Honghua Dai 001 (ICML, 1996)

Using Bayesian Networks for Abduction in Argumentation. - Ingrid Zukerman; Richard McConachy; Kevin B. Korb (ICONIP (1), 1997)

A Study of Causal Discovery With Weak Links and Small Samples. - Honghua Dai 001; Kevin B. Korb; Chris S. Wallace; Xindong Wu 001 (IJCAI, 1997)

Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis. - Ingrid Zukerman; Richard McConachy; Kevin B. Korb (AAAI/IAAI, 1998)

A Bayesian Approach to Automating Argumentation. - Richard McConachy; Kevin B. Korb; Ingrid Zukerman (CoNLL, 1998)

Attention During Argument Generation And Presentation. - Ingrid Zukerman; Richard McConachy; Kevin B. Korb (INLG, 1998)

The Frame Problem: An AI Fairy Tale. - Kevin B. Korb (Minds Mach., 1998)

Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation. - Murlikrishna Viswanathan; Chris S. Wallace; David L. Dowe; Kevin B. Korb (Australian Joint Conference on Artificial Intelligence, 1999)

Exploratory Interaction with a Bayesian Argumentation System. - Ingrid Zukerman; Richard McConachy; Kevin B. Korb; Deborah Pickett (IJCAI, 1999)

The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors. - Julian R. Neil; Kevin B. Korb (PAKDD, 1999)

Bayesian Poker. - Kevin B. Korb; Ann E. Nicholson; Nathalie Jitnah (UAI, 1999)

Learning Bayesian Networks with Restricted Causal Interactions. - Julian R. Neil; Chris S. Wallace; Kevin B. Korb (UAI, 1999)

Suicide as an Evolutionarily Stable Strategy. - Steven Mascaro; Kevin B. Korb; Ann E. Nicholson (ECAL, 2001)

The Evaluation of Predictive Learners: Some Theoretical and Empirical Results. - Kevin B. Korb; Lucas R. Hope; Michelle J. Hughes (ECML, 2001)

Seabreeze Prediction Using Bayesian Networks. - Russell J. Kennett; Kevin B. Korb; Ann E. Nicholson (PAKDD, 2001)

Bayesian Information Reward. - Lucas R. Hope; Kevin B. Korb (Australian Joint Conference on Artificial Intelligence, 2002)

Bayesian Artificial Intelligence. - Kevin B. Korb; Ann E. Nicholson (Chapman & Hall, 2004)

A Bayesian Metric for Evaluating Machine Learning Algorithms. - Lucas R. Hope; Kevin B. Korb (Australian Conference on Artificial Intelligence, 2004)

Parameterising Bayesian Networks. - Owen Woodberry; Ann E. Nicholson; Kevin B. Korb; Carmel A. Pollino (Australian Conference on Artificial Intelligence, 2004)

Varieties of Causal Intervention. - Kevin B. Korb; Lucas R. Hope; Ann E. Nicholson; Karl Axnick (PRICAI, 2004)

Introduction: Machine Learning as Philosophy of Science. - Kevin B. Korb (Minds Mach., 2004)

Chapter 13 An ALife Investigation on the Origins of Dimorphic Parental Investments. - Steven Mascaro; Kevin B. Korb; Ann E. Nicholson (Recent Advances in Artificial Life, 2005)

Chapter 24 The Evolution of Aging. - Owen Woodberry; Kevin B. Korb; Ann E. Nicholson (Recent Advances in Artificial Life, 2005)

An Information-Theoretic Causal Power Theory. - Lucas R. Hope; Kevin B. Korb (Australian Conference on Artificial Intelligence, 2005)

Ensemble Selection for SuperParent-One-Dependence Estimators. - Ying Yang 001; Kevin B. Korb; Kai Ming Ting; Geoffrey I. Webb (Australian Conference on Artificial Intelligence, 2005)

Learning Hybrid Bayesian Networks by MML. - Rodney T. O'Donnell; Lloyd Allison; Kevin B. Korb (Australian Conference on Artificial Intelligence, 2006)

Causal Discovery with Prior Information. - Rodney T. O'Donnell; Ann E. Nicholson; B. Han; Kevin B. Korb; M. J. Alam; Lucas R. Hope (Australian Conference on Artificial Intelligence, 2006)

To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles. - Ying Yang 001; Geoffrey I. Webb; Jesús Cerquides; Kevin B. Korb; Janice R. Boughton; Kai Ming Ting (ECML, 2006)

The power of intervention. - Kevin B. Korb; Erik P. Nyberg (Minds Mach., 2006)

An Evolutionary Benefit from Misperception in Foraging Behaviour. - Lachlan Brumley; Kevin B. Korb; Carlo Kopp (ACAL, 2007)

Take Heart II: A Modular Bayesian Decision Support System. - Kevin B. Korb; Ann E. Nicholson; Lucas R. Hope (ACSW, 2007)

A heuristic algorithm for pattern-to-DAG conversion. - Yingying Wen; Kevin B. Korb (Artificial Intelligence and Applications, 2007)

Building Virtual Ecosystems from Artificial Chemistry. - Alan Dorin; Kevin B. Korb (ECAL, 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)

Classifying under computational resource constraints: anytime classification using probabilistic estimators. - Ying Yang 001; Geoffrey I. Webb; Kevin B. Korb; Kai Ming Ting (Mach. Learn., 2007)

To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators. - Ying Yang 001; Geoffrey I. Webb; Jesús Cerquides; Kevin B. Korb; Janice R. Boughton; Kai Ming Ting (IEEE Trans. Knowl. Data Eng., 2007)

Ethics of AI. - Kevin B. Korb (Encyclopedia of Information Ethics and Security, 2007)

Artificial-Life Ecosystems - What are they and what could they become? - Alan Dorin; Kevin B. Korb; Volker Grimm (ALIFE, 2008)

Species Selection of Aging for the Sake of Diversity. - Owen Woodberry; Kevin B. Korb; Ann E. Nicholson (ALIFE, 2008)

The Causal Interpretation of Bayesian Networks. - Kevin B. Korb; Ann E. Nicholson (Innovations in Bayesian Networks, 2008)

Using Misperception to Counteract Noise in the Iterated Prisoner's Dilemma. - Lachlan Brumley; Kevin B. Korb; Carlo Kopp (ACAL, 2009)

A New Definition of Creativity. - Alan Dorin; Kevin B. Korb (ACAL, 2009)

Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics. - Owen Woodberry; Kevin B. Korb; Ann E. Nicholson (ACAL, 2009)

Improbable Creativity. - Alan Dorin; Kevin B. Korb (Computational Creativity: An Interdisciplinary Approach, 2009)

DataZapper: Generating Incomplete Datasets. - Yingying Wen; Kevin B. Korb; Ann E. Nicholson (ICAART, 2009)

Generating Incomplete Data with DataZapper. - Yingying Wen; Kevin B. Korb; Ann E. Nicholson (ICAART (Revised Selected Papers), 2009)

Network Measures of Ecosystem Complexity. - Alan Dorin; Kevin B. Korb (ALIFE, 2010)

Learning Graphical Models. - Kevin B. Korb (Encyclopedia of Machine Learning, 2010)

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)

Causal Discovery of Dynamic Bayesian Networks. - Cora Beatriz Pérez-Ariza; Ann E. Nicholson; Kevin B. Korb; Steven Mascaro; Chao Heng Hu (Australasian Conference on Artificial Intelligence, 2012)

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)

A Bayesian Approach to the Validation of Agent-Based Models. - Kevin B. Korb; Nicholas Geard; Alan Dorin (Ontology, Epistemology, and Teleology for Modeling and Simulation, 2013)

Intrinsic Learning of Dynamic Bayesian Networks. - Alex Black; Kevin B. Korb; Ann E. Nicholson (PRICAI, 2014)

Anomaly detection in vessel tracks using Bayesian networks. - Steven Mascaro; Ann E. Nicholson; Kevin B. Korb (Int. J. Approx. Reason., 2014)

Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling. - Rosa F. Ropero; Ann E. Nicholson; Kevin B. Korb (CAEPIA, 2015)

Omnigram Explorer: A Simple Interactive Tool for the Initial Exploration of Complex Systems. - Tim Taylor 001; Alan Dorin; Kevin B. Korb (ECAL, 2015)

Digital Genesis: Computers, Evolution and Artificial Life. - Tim Taylor 001; Alan Dorin; Kevin B. Korb (CoRR, 2015)

An empirical study of the co-evolution of utility and predictive ability. - Kevin B. Korb; Lachlan Brumley; Carlo Kopp (CEC, 2016)

Latent Variable Discovery Using Dependency Patterns. - Xuhui Zhang; Kevin B. Korb; Ann E. Nicholson; Steven Mascaro (CoRR, 2016)

Applying Dependency Patterns in Causal Discovery of Latent Variable Models. - Xuhui Zhang; Kevin B. Korb; Ann E. Nicholson; Steven Mascaro (ACALCI, 2017)

iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance. - Md. Samiullah 001; Thao Xuan Hoang; David W. Albrecht; Ann E. Nicholson; Kevin B. Korb (ICTAI, 2017)

Learning Graphical Models. - Kevin B. Korb (Encyclopedia of Machine Learning and Data Mining, 2017)

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)

The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality. - Yang Li 182; Kevin B. Korb; Lloyd Allison (CoRR, 2019)

Proving the NP-completeness of optimal moral graph triangulation. - Yang Li 182; Lloyd Allison; Kevin B. Korb (CoRR, 2019)

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; et al. (CoRR, 2020)

Markov Blanket Discovery using Minimum Message Length. - Yang Li 182; Kevin B. Korb; Lloyd Allison (CoRR, 2021)

Causal KL: Evaluating Causal Discovery. - Rodney T. O'Donnell; Kevin B. Korb; Lloyd Allison (CoRR, 2021)

The difficulty of being moral. - Yang Li 182; Lloyd Allison; Kevin B. Korb (Theor. Comput. Sci., 2021)