Shelfclass |
Sortkey |
Title |
2.M |
ASHER, HERBERT B |
Causal Modeling |
2.M |
ATTOH-OKINE, NII O |
Applied Research in Uncertainty Modeling and Analysis |
2.M |
AYYUB, BILAL M |
Analysis and Management of Uncertainty: Theory and Applications |
2.M |
BACCHUS, FAHIEM |
Representing and Reasoning with Probabilistic Knowledge: A Logical Approach to Probabilities |
2.M |
BALDWIN, J. F |
Fril - Fuzzy and Evidential Reasoning in Artificial Intelligence |
2.M |
BANDEMER, HANS-WALTER |
Mathematics of Uncertainty: Ideas, Methods, Application Problems |
2.M |
BEYTH-MAROM, RUTH |
An Elementary Approach to Thinking under Uncertainty |
2.M |
BLACK, PAUL K |
Models of Inexact Reasoning |
2.M |
BLALOCK, HUBERT M |
Causal Inferences in Nonexperimental Research |
2.M |
BLALOCK, HUBERT M |
Causal Models in the Social Sciences |
2.M |
BORGELT, CHRISTIAN |
Graphical Models: Methods for Data Analysis and Mining |
2.M |
BUBNICKI, ZDZISLAW |
Uncertain Logics, Variables and Systems |
2.M |
CACUCI, DAN G |
Sensitivity and Uncertainty Analysis: Volume II: Applications to Large-Scale Systems |
2.M |
CAPEL, H. W |
Chance and Uncertainty: Their Role in Various Disciplines |
2.M |
CARNAP, RUDOLF |
Logical Foundations of Probability |
2.M |
CASTILLO, ENRIQUE |
Expert Systems and Probabilistic Network Models |
2.M |
COHEN, L. JONATHAN |
The Probable and the Provable |
2.M |
COHEN, PAUL R |
Heuristic Reasoning about Uncertainty: An Artificial Intelligence Approach |
2.M |
COLETTI, GIULIANELLA |
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence |
2.M |
COLETTI, GIULIANELLA |
Probabilistic Logic in a Coherent Setting |
2.M |
COOKE, ROGER M |
Experts in Uncertainty: Opinion and Subjective Probability in Science |
2.M |
COWELL, ROBERT G |
Probabilistic Networks and Expert Systems |
2.M |
COX, RICHARD T |
The Algebra of Probable Inference |
2.M |
DELLA RICCIA, G |
Mathematical and Statistical Methods in Artificial Intelligence: Proceedings of the ISSEK94 Workshop |
2.M |
DORN, GEORG J. W |
Deductive, Probabilistic and Inductive Dependence: An Axiomatic Study in Probability Semantics |
2.M |
DOWE, PHIL |
Physical Causation |
2.M |
EELLS, ELLERY |
Probabilistic Causality |
2.M |
EELLS, ELLERY |
Rational Decision and Causality |
2.M |
GÁMEZ, JOSÉ A |
Advances in Bayesian Networks |
2.M |
GEFFNER, HECTOR |
Default Reasoning: Causal and Conditional Theories |
2.M |
GELMAN, ANDREW |
Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family |
2.M |
GIL-ALUJA, JAIME |
Fuzzy Sets in the Management of Uncertainty |
2.M |
GILLIES, D. A |
An Objective Theory of Probability |
2.M |
GLÖCKNER, INGO |
Fuzzy Quantifiers: A Computational Theory |
2.M |
GLYMOUR, CLARK |
Theory and Evidence |
2.M |
GOERTZEL, BEN |
Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference |
2.M |
GOOD, I. J |
Probability and the Weighing of Evidence |
2.M |
GOODMAN, IRWIN R |
Conditional Inference and Logic for Intelligent Systems: A Theory of Measure-Free Conditioning |
2.M |
GOODMAN, IRWIN R |
Conditional Logic in Expert Systems |
2.M |
GOODMAN, IRWIN R |
Uncertainty Models for Knowledge-Based Systems: A Unified Approach to the Measurement of Uncertainty |
2.M |
GRABISCH, MICHEL |
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference |
2.M |
GREEN, PETER J |
Highly Structured Stochastic Systems |
2.M |
GUPTA, MADAN M |
Approximate Reasoning in Expert Systems |
2.M |
GUPTA, MADAN M |
Fuzzy Automata and Decision Processes |
2.M |
HACKING, IAN |
The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference |
2.M |
HAILPERIN, THEODORE |
Sentential Probability Logic: Origins, Development, Current Status, and Technical Applications |
2.M |
HÁJEK, PETR |
Uncertain Information Processing in Expert Systems |
2.M |
HALPERN, JOSEPH Y |
Reasoning about Uncertainty |
2.M |
HAND, DAVID J |
AI and Computer Power: The Impact on Statistics |
2.M |
HARPER, WILLIAM L |
Causation in Decision, Belief Change, and Statistics: Proceedings of the Irvine Conference on Probability and Causation: Volume II |
2.M |
HISDAL, ELLEN |
Logical Structures for Representation of Knowledge and Uncertainty |
2.M |
HORN, WERNER |
Causal AI models: Steps Toward Applications |
2.M |
HOWSON, COLIN |
Scientific Reasoning: the Bayesian Approach |
2.M |
HUNTER, ANTHONY |
Applications of Uncertainty Formalisms |
2.M |
JENSEN, FINN V |
Bayesian Networks and Decision Graphs |
2.M |
KAHNEMAN, DANIEL |
Judgment under Uncertainty: Heuristics and Biases |
2.M |
KANDEL, ABRAHAM |
Fuzzy Mathematical Techniques with Applications |
2.M |
KATZAN, HARRY |
Managing Uncertainty: A Pragmatic Approach |
2.M |
KENNY, DAVID A. |
Correlation and Causality |
2.M |
KLIR, GEORGE J |
Uncertainty-Based Information: Elements of Generalized Information Theory |
2.M |
KOHLAS, JÜRG |
A Mathematical Theory of Hints: An Approach to the Dempster-Shafer Theory of Evidence |
2.M |
KOHLAS, JÜRG |
Information Algebras: Generic Structures for Inference |
2.M |
KRAMOSIL, IVAN |
Probabilistic Analysis of Belief Functions |
2.M |
KRAUSE, PAUL |
Representing Uncertain Knowledge: An Artificial Intelligence Approach |
2.M |
KRUSE, RUDOLF |
Uncertainty and Vagueness in Knowledge Based Systems: Numerical Methods |
2.M |
KUROWICKA, DOROTA |
Uncertainty Analysis with High Dimensional Dependence Modelling |
2.M |
KURZHANSKI, ALEXANDER B |
Modeling Techniques for Uncertain Systems: Proceedings of a Conference Held in Sopron, Hungary, July 1992 |
2.M |
KYBURG, HENRY E |
Probability and the Logic of Rational Belief |
2.M |
KYBURG, HENRY E |
Studies in Subjective Probability |
2.M |
KYBURG, HENRY E |
Uncertain Inference |
2.M |
LAURITZEN, STEFFEN L |
Graphical Models |
2.M |
LAWRY, JONATHAN |
Modelling with Words: Learning, Fusion, and Reasoning within a Formal Linguistic Representation Framework |
2.M |
LEE, E. STANLEY |
Fuzzy and Evidence Reasoning |
2.M |
LI, SHOUMEI |
Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables |
2.M |
LIU, BAODING |
Uncertainty Theory: An Introduction to its Axiomatic Foundations |
2.M |
LIU, WEIRU |
Propositional, Probabilistic and Evidential Reasoning: Integrating Numerical and Symbolic Approaches |
2.M |
LÓPEZ DE MÁNTARAS, RAMON |
Approximate Reasoning Models |
2.M |
MALMNÄS, PER-ERIK |
From Qualitative to Quantitative Probability |
2.M |
MARI, DOMINIQUE DROUET |
Correlation and Dependence |
2.M |
MARTIN, T. P |
Logic Programming and Soft Computing |
2.M |
MASUCH, MICHAEL |
Knowledge Representation and Reasoning under Uncertainty: logic at work |
2.M |
MCIVER, ANNABELLE |
Abstraction, Refinement and Proof for Probabilistic Systems |
2.M |
MCKIM, VAUGHN R |
Causality in Crisis?: Statistical Methods and the Search for Causal Knowledge in the Social Sciences |
2.M |
MOTRO, AMIHAI |
Uncertainty Management in Information Systems: From Needs to Solutions |
2.M |
NEAPOLITAN, RICHARD E |
Probabilistic Reasoning in Expert Systems: Theory and Algorithms |
2.M |
OLIVER, ROBERT M |
Influence Diagrams, Belief Nets and Decision Analysis |
2.M |
OLSSON, ERIK J |
Against Coherence: Truth, Probability, and Justification |
2.M |
OSTEYEE, DAVID BRIDSTON |
Information, Weight of Evidence, the Singularity Between Probability Measures and Signal Detection |
2.M |
PARIS, J. B |
The Uncertain Reasoner's Companion: A Mathematical Perspective |
2.M |
PARSONS, SIMON |
Qualitative Methods for Reasoning under Uncertainty |
2.M |
PAWLAK, ZDZISLAW |
Rough Sets: Theoretical Aspects of Reasoning about Data |
2.M |
PEARL, JUDEA |
Causality: Models, Reasoning, and Inference |
2.M |
PEARL, JUDEA |
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference |
2.M |
PEAT, F. DAVID |
From Certainty to Uncertainty: The Story of Science and Ideas in the Twentieth Century |
2.M |
REICHENBACH, HANS |
The Theory of Probability: An Inquiry into the Logical and Mathematical Foundations of the Calculus of Probability |
2.M |
SCHUM, DAVID A |
The Evidential Foundations of Probabilistic Reasoning |
2.M |
SCOZZAFAVA, ROMANO |
Probabilistic Methods in Expert Systems: proceedings of the International Workshop, Roma, 14-15 Ottobre, 1993 |
2.M |
SHAFER, GLENN |
A Mathematical Theory of Evidence |
2.M |
SHAFER, GLENN |
Probabilistic Expert Systems |
2.M |
SHAFER, GLENN |
Readings in Uncertain Reasoning |
2.M |
SKLAR, LAWRENCE |
The Philosophy of Science - A Collection of Essays: Bayesian and Non-Inductive Methods |
2.M |
SKYRMS, BRIAN |
Causation, Chance, and Credence: Proceedings of the Irvine Conference on Probability and Causation |
2.M |
STUDENÝ, MILAN |
Probabilistic Conditional Independence Structures |
2.M |
SUPPES, PATRICK |
A Probabilistic Theory of Causality |
2.M |
TAYLOR, JOHN R |
An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements |
2.M |
VENN, JOHN |
The Logic of Chance |
2.M |
VON FURSTENBERG, GEORGE M |
Acting Under Uncertainty: Multidisciplinary Conceptions |
2.M |
WEICHSELBERGER, KURT |
A Methodology for Uncertainty in Knowledge-Based Systems |
2.M |
WHITTAKER, JOE |
Graphical Models in Applied Multivariate Statistics |
2.M |
WOODWARD, JAMES |
Making Things Happen: A Theory of Causal Explanation |
2.M |
XIANG, YANG |
Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach |
2.M |
YAGER, RONALD R |
Advances in the Dempster-Shafer Theory of Evidence |
2.M |
ZADEH, LOTFI A |
Fuzzy Logic for the Management of Uncertainty |
2.M |
ZIMAN, JOHN M |
Reliable Knowledge: An Exploration of the Grounds for Belief in Science |