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  1. Zoltan Domotor & Vadim Batitsky (2008). The Analytic Versus Representational Theory of Measurement: A Philosophy of Science Perspective. Measurement Science Review 8 (6):129-146.
    In this paper we motivate and develop the analytic theory of measurement, in which autonomously specified algebras of quantities (together with the resources of mathematical analysis) are used as a unified mathematical framework for modeling (a) the time-dependent behavior of natural systems, (b) interactions between natural systems and measuring instruments, (c) error and uncertainty in measurement, and (d) the formal propositional language for describing and reasoning about measurement results. We also discuss how a celebrated theorem in analysis, known as Gelfand (...)
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  2. Vadim Batitsky & Zoltan Domotor (2007). When Good Theories Make Bad Predictions. Synthese 157 (1):79 - 103.
    Chaos-related obstructions to predictability have been used to challenge accounts of theory validation based on the agreement between theoretical predictions and experimental data (Rueger & Sharp, 1996. The British Journal for the Philosophy of Science, 47, 93–112; Koperski, 1998. Philosophy of Science, 40, 194–212). These challenges are incomplete in two respects: (a) they do not show that chaotic regimes are unpredictable in principle (i.e., with unbounded resources) and, as a result, that there is something conceptually wrong with idealized expectations of (...)
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  3. Zoltan Domotor (1985). Probability Kinematics, Conditionals, and Entropy Principles. Synthese 63 (1):75 - 114.
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  4. Zoltan Domotor (1982). Reduction of Macrotheories to Micro-Theories. Erkenntnis 17 (1):3 - 21.
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  5. Zoltan Domotor & Michael Friedman (1982). Cornman and Philosophy of Science. Philosophical Studies 41 (1):115 - 127.
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  6. Zoltan Domotor (1981). Higher Order Probabilities. Philosophical Studies 40 (1):31 - 46.
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  7. Zoltan Domotor (1981). Probabilistic and Causal Dependence Structures. Theory and Decision 13 (3):275-292.
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  8. Zoltan Domotor (1980). Probability Kinematics and Representation of Belief Change. Philosophy of Science 47 (3):384-403.
    Bayesian, Jeffrey and Field conditionals are compared and it is shown why the last two cannot be reduced to the first. Maximum relative entropy is used in two kinds of justification of the Field conditional and the dispensability of entropy principles in general is discussed.
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  9. Zoltan Domotor, Mario Zanotti & Henson Graves (1980). Probability Kinematics. Synthese 44 (3):421 - 442.
    Probability kinematics is studied in detail within the framework of elementary probability theory. The merits and demerits of Jeffrey's and Field's models are discussed. In particular, the principle of maximum relative entropy and other principles are used in an epistemic justification of generalized conditionals. A representation of conditionals in terms of Bayesian conditionals is worked out in the framework of external kinematics.
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  10. Zoltan Domotor (1979). Ordered Sum and Tensor Product of Linear Utility Structures. Theory and Decision 11 (4):375-399.
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  11. Zoltan Domotor (1979). Review. [REVIEW] Synthese 41 (3):461-463.
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  12. Zoltan Domotor (1978). Al: Model-Theoretic Aspects. Behavioral and Brain Sciences 1 (1):104.
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  13. Zoltan Domotor (1978). Axiomatization of Jeffrey Utilities. Synthese 39 (2):165 - 210.
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  14. Zoltan Domotor (1978). Cognitive Problems and Problems of Cognitivism. Behavioral and Brain Sciences 1 (2):233.
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  15. Zoltan Domotor (1974). The Probability Structure of Quantum-Mechanical Systems. Synthese 29 (1-4):155 - 185.
  16. Zoltan Domotor (1972). Causal Models and Space-Time Geometries. Synthese 24 (1-2):5 - 57.
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  17. Zoltan Domotor (1972). Species of Measurement Structures. Theoria 38 (1-2):64-81.
  18. Zoltan Domotor (1970). Review: Ladislav Tondl, Sémantika Otázky V Problémové Situaci (Semantics of the Question in the Problem-Solving Situation). [REVIEW] Journal of Symbolic Logic 35 (2):314-314.
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