1. Ronald Fagin. Reasoning about knowledge. MIT Press, Cambridge, Mass., 1995.
   Note: 94036477 94036477 Ronald Fagin ... [et al.]. Includes bibliographical references (p. 429-448) and indexes. 1. Introduction and Overview -- 2. A Model for Knowledge -- 3. Completeness and Complexity -- 4. Knowledge in Multi-Agent Systems -- 5. Protocols and Programs -- 6. Common Knowledge and Agreement -- 7. Knowledge-Based Programming -- 8. Evolving Knowledge -- 9. Logical Omniscience -- 10. Knowledge and Computation -- 11. Common Knowledge Revisited.
   Keywords: epistemic logic, Bayesian Theory, agents, model theory, honours reading, kripke structures. [bibtex-entry]

1. Joseph Y. Halpern and Daphne Koller. Representation Dependence in Probabilistic Inference. Journal of Artificial Intelligence Research, 21:319--356, 2004.
   Keywords: Bayesian theory, Epistemic logic, machine learning, honours reading. [bibtex-entry]



2. J. Pearl. Reasoning with cause and effect. AI Magazine, 23(1):95--111, 2002.
   Note: Publisher: American Assoc. Artificial Intelligence, USA.
   Keywords: causality, Bayesian theory, counterfactuals, honours reading. [abstract] [bibtex-entry]



3. D. Waltz. The importance of importance. Ai Magazine, 20(3):18--35, 1999.
   Note: Times Cited: 4 Article English Cited References Count: 20 244dd.
   Keywords: machine learning, Bayesian Theory, cognitive science, honours reading. [abstract] [download paper ] [bibtex-entry]

1. Barteld P. Kooi. Probability in Dynamic Epistemic Logic. Technical report 13/09/2000, Department of COmputer Science, University of Groningen, September 2000.
   Keywords: epistemic logic, model theory, honours reading, Bayesian Theory. [bibtex-entry]



2. David Draper. Bayesian Heirarchical Modeling. Technical report 1998, Department of Mathematical Science, University of Bath, 1998.
   Note: Unpublished book.
   Keywords: Bayesian theory, honours reading. [bibtex-entry]



3. Wray L. Buntine. A guide to the literature on learning graphical models. Technical Report 1996, RIACS at NASA Ames Research Center, 1996.
   Keywords: Bayesian theory, honours reading. [bibtex-entry]



4. Adrian Pearce. A survey of uncertainty calculi for pattern recognition using machine learning. Technical Report 1992, Department of Computer Science, Melbourne University, May 1992.
   Keywords: Bayesian theory, agentlab. [bibtex-entry]

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