- CS322 Fall 1999 Module 2 (Symbols and Semantics)
- A methodology for using a default and abductive reasoning system
- CS322, Fall 1997 Midterm Examination ---Solution
- Logic Programming, Abduction and Probability David Poole
- The use of conflicts in searching Bayesian networks David Poole \Lambda
- CS322 Fall 1997 Practice Final Questions
- in, Working Notes AAAI Spring Symposium 1995 Extending Theories of Actions: Formal Theory and Practical ApplicationsStanford, March, 1995 Sensing and Acting in the Independent Choice Logic \Lambda
- Representing Bayesian Networks within Probabilistic Horn David Poole
- Normality and Faults in LogicBased Diagnosis \Lambda David Poole
- Logic, Knowledge Representation and Bayesian Decision David Poole
- Context-specific approximation in probabilistic inference David Poole
- CS322 Fall 1997 Practice Final Questions
- A Dynamic Approach to Probabilistic Inference using Bayesian Michael C. Horsch and David Poole #
- Computational Intelligence A Logical Approach
- Semantic Science and Machine-Accessible Scientific Theories David Poole
- Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making
- CS322 Fall 1999 Module 10 (Representing Actions)
- January/February 2009 1541-1672/09/$25.00 2009 IEEE 27 Published by the IEEE Computer Society
- Normality and Faults in Logic-Based Diagnosis David Poole
- Computational Intelligence A Logical Approach
- Towards a Logic of Feature-Based Semantic Science Theories David Poole
- CS322 Fall 1999 Module 11 (Decision Tree Learning)
- CS322 Fall 1999 Module 11 (Decision Tree Learning)
- AI Meets Authoring: User Models for Intelligent Multimedia Andrew Csinger Kellogg S. Booth David Poole
- Probabilistic Horn abduction and Bayesian David Poole
- Preference-based Constrained Optimization with Craig Boutilier
- Computational Intelligence: A Logical Approach is a book about a new science--computational intelligence. More commonly referred to as artificial intelligence,
- The use of conflicts in searching Bayesian networks David Poole
- What the Lottery Paradox Tells Us About Default Reasoning David Poole
- Bachelor's Mathematics Flinders University Australia 051979 / Doctorate Computer Science Australian National University Australia 051984 /
- CS322 Fall 1999 Module 12 (Neural Network Learning)
- The Independent Choice Logic and Beyond David Poole
- CS322 Fall 1999 Module 1 (AI and Intelligence)
- CS322 Fall 1997 Practice Midterm Questions
- Computing Optimal Policies for Partially Observable Decision Processes using Compact
- Decisiontheoretic defaults David Poole
- Computational Intelligence, Volume 11, Number 1, 1995 A NEW METHOD FOR INFLUENCE DIAGRAM EVALUATION
- The E ect of Knowledge on Belief: Conditioning, Speci city and the Lottery
- Computing Optimal Policies for Partially Observable Decision Processes using Compact
- Computational Intelligence, Volume 11, Number 1, 1995 A NEW METHOD FOR INFLUENCE DIAGRAM EVALUATION
- Logical Argumentation, Abduction and Bayesian Decision Theory
- The Independent Choice Logic for modelling multiple agents under uncertainty /
- To appear, Proc. 15th International Joint Conference on AI (IJCAI-97), Nagoya, Japan, August, 1997 Probabilistic Partial Evaluation
- Semantic e-Science and Geology Clinton Smyth1
- Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching
- To appear, Proc. 15th International Joint Conference on AI(IJCAI97), Nagoya, Japan, August, 1997
- CERTIFICATION/REQUIREMENTS SIGNATURES (Refer to instructions "What do signatures mean?")
- Flexible Policy Construction by Information Michael C. Horsch David Poole
- Representing Knowledge for Logicbased Diagnosis David Poole
- CS322 Fall 1999 Module 5 (Search Issues)
- HAZARDMATCH: AN APPLICATION OF ARTIFICIAL INTELLIGENCE TO LANDSLIDE SUSCEPTIBILITY MAPPING, HOWE SOUND AREA, BRITISH
- Logic Programming, Abduction and Probability
- Logical Argumentation, Abduction and Bayesian Decision Theory: A Bayesian Approach to Logical
- CS322 Fall 1999 Module 8 (Metainterpreters)
- Predicting Future User Actions by Observing Unmodified Applications Peter Gorniak and David Poole
- Computational Intelligence and Knowledge
- Adding Local Constraints to Bayesian Networks Mark Crowley1
- CS322 Fall 1999 Module 4 (Search)
- 264 POOLE, David POOLE, David
- Towards an abductive foundation of semantic science David Poole
- Variables in Hypotheses David Poole
- CS322 Fall 1999 Module 3 (Reasoning with Symbols)
- CS322 Fall 1999 Module 7 (Knowledge Representation Issues)
- Semantic Science: Ontologies, Data and Probabilistic Theories
- Explanation and Prediction: An Architecture for Default and Abductive
- CS322 Fall 1999 Module 9 (Representing Actions)
- Representing Diagnosis Knowledge David Poole
- An Anytime Algorithm for Decision Making under Uncertainty Michael C. Horsch David Poole
- In Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, Montreal, Quebec, Canada, August 18-20, 1995
- CS322 Fall 1999 Module 9 (Representing Actions)
- Abducing through Negation as Failure: Stable models within the independent choice logic
- What the Lottery Paradox Tells Us About Default Reasoning David Poole
- An Anytime Algorithm for Decision Making under Uncertainty Michael C. Horsch David Poole
- CS322 Fall 1999 Module 12 (Neural Network Learning)
- Contextspecific approximation in probabilistic inference David Poole
- A Dynamic Approach to Probabilistic Inference using Bayesian Michael C. Horsch and David Poole
- Who chooses the assumptions? \Lambda David Poole y
- Average-case analysis of a search algorithm for estimating prior and posterior probabilities in Bayesian networks with extreme
- CILOG User Manual Version 0.14
- Computational Intelligence
- Computational Intelligence A Logical Approach
- CS322 Fall 1999 Module 8 (Metainterpreters)
- Efficient Inference in Large Discrete Domains Rita Sharma
- Computational Intelligence A Logical Approach
- A Framework for Ontologically-Grounded Probabilistic Matching ??
- A Logical Framework for Default Reasoning David Poole
- Lifted Aggregation in Directed First-order Probabilistic Models Jacek Kisynski and David Poole
- Logical Generative Models for Probabilistic Reasoning about Existence, Roles and David Poole
- Dimensions of Complexity of Intelligent Agents David Poole and Alan Mackworth
- Probabilistic Reasoning with Hierarchically Structured Variables Rita Sharma
- Probability and Equality: A Probabilistic Model of Identity Uncertainty
- Qualitative Probabilistic Matching with Hierarchical Descriptions Clinton Smyth
- Estimation and control of industrial processes with particle lters Ruben Morales-Menendez
- Real-time monitoring of complex industrial processes with particle filters
- Building a Stochastic Dynamic Model of Application Use Peter J. Gorniak
- A simple approach to Bayesian network computations Nevin Lianwen Zhang
- Representing diagnostic knowledge for probabilistic Horn abduction David Poole
- Agents, Decisions, Beliefs, Preferences, Science and Politics David Poole
- The Independent Choice Logic for modelling multiple agents under uncertainty
- Probabilistic conflicts in a search algorithm for estimating posterior probabilities in Bayesian
- Computational Intelligence A Logical Approach
- Computational Intelligence A Logical Approach
- Computational Intelligence A Logical Approach
- Computational Intelligence A Logical Approach
- Computational Intelligence A Logical Approach
- Computational Intelligence A Logical Approach
- CS322 Fall 1999 Module 3 (Reasoning with Symbols)
- CS322 Fall 1999 Module 4 (Search)
- CS322 Fall 1999 Module 5 (Search Issues)
- CS322 Fall 1999 Module 6 (Constraint Satisfaction Problems)
- CS322 Fall 1999 Module 6 (Constraint Satisfaction Problems)
- CS322 Fall 1999 Module 7 (Knowledge Representation Issues)
- Probabilistic Programming Languages: In-dependent Choices and Deterministic Sys-
- Policy Gradient Planning for Environmental Decision Making with Existing Mark Crowley and David Poole
- Logic, Probability and Computation: Foundations and Issues of Statistical Relational
- Probabilistic Relational Learning and Inductive Logic Programming at a Global Scale
- Constraint Processing in Lifted Probabilistic Inference Jacek Kisynski and David Poole
- Compiling A Default Reasoning System into David Poole
- Representing Knowledge for Logic-based Diagnosis David Poole
- Default Logic \Lambda David Poole
- Semantic Science: machine understandable scientific theories and data
