| Introduction | p. 1 |
| öBelieve It or Notö - The Handling of Uncertain Knowledge | p. 1 |
| Overview | p. 5 |
| Basic Definitions and Notations | p. 8 |
| Propositional and Conditional Expressions | p. 8 |
| Probabilistic Logics | p. 9 |
| Belief Revision and Nonmonotonic Reasoning - State of the Art | p. 11 |
| Nonmonotonic Reasoning | p. 12 |
| Belief Revision | p. 13 |
| Nonmonotonic Reasoning and Belief Revision - Two Sides of the Same Coin? | p. 17 |
| Iterated Revision, Epistemic States, and Conditionals | p. 17 |
| Probabilistic Reasoning - The ME-Approach | p. 23 |
| Conditionals | p. 27 |
| Conditionals and Epistemic States | p. 27 |
| Conditional Valuation Functions | p. 31 |
| Conditional Valuation Functions and Beliefs | p. 34 |
| A Dynamic View on Conditionals | p. 36 |
| Conditional Structures | p. 39 |
| Conditional Indifference | p. 48 |
| Revising Epistemic States by Conditional Beliefs | p. 53 |
| Postulates for Revising by Conditional Beliefs | p. 54 |
| Representation Theorems | p. 56 |
| Conditional Valuation Functions and Revision | p. 57 |
| A Revision Operator for Ordinal Conditional Functions | p. 60 |
| The Principle of Conditional Preservation | p. 62 |
| C-Revisions and C-Representations | p. 66 |
| Characterizing the Principle of Minimum Cross-Entropy | p. 73 |
| Conditional Preservation | p. 75 |
| The Functional Concept | p. 80 |
| Logical Coherence | p. 85 |
| Representation Invariance | p. 87 |
| Uniqueness and the Main Theorem | p. 89 |
| Reasoning at Optimum Entropy | p. 91 |
| Probabilistic Consequence and Probabilistic Inference | p. 92 |
| Basic Properties of the ME-Inference Operation | p. 93 |
| ME-Logic and Conditionals | p. 95 |
| ME-Deduction Rules | p. 97 |
| Chaining Rules | p. 98 |
| Cautious Monotonicity and Cautious Cut | p. 99 |
| Conjoining Literals in Antecedent and Consequent | p. 100 |
| Reasoning by Cases | p. 101 |
| Belief Revision and Nonmonotonic Reasoning - Revisited | p. 103 |
| Universal Inference Operations | p. 104 |
| Simultaneous and Successive Revision | p. 108 |
| Separating Background from Evidential Knowledge | p. 109 |
| Revising Epistemic States by Sets of Conditionals | p. 112 |
| Revision versus Updating | p. 114 |
| Focusing in a Probabilistic Framework | p. 116 |
| Knowledge Discovery by Following Conditional Structures | p. 119 |
| Probabilistic Knowledge Discovery | p. 120 |
| Discovering Conditional Structures | p. 122 |
| Examples - ME-Knowledge Discovery | p. 131 |
| Open Problems and Concluding Remarks | p. 134 |
| Algorithms and Implementations | p. 137 |
| ME-Reasoning with Probabilistic Conditionals | p. 137 |
| Probabilistic Knowledge Discovery | p. 138 |
| Possibilistic Belief Revision | p. 139 |
| Conclusion | p. 141 |
| Proofs | p. 145 |
| Bibliography | p. 175 |
| Index | p. 187 |
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