Foundations of Info-Metrics (Modeling, Inference and Imperfect Information)

On the Foundations and Philosophy of Info-metrics

Among the set of open questions in philosophy of information posed by Floridi [5,6] is the question of “What Is the Dynamics of Information?” For recent discussion see Crnkovic and Hofkirchner [2]) and a complimentary summary of open questions in the interconnection of philosophy of information and computation (Adriaans [1]). The broad definition of “dynamics of information” includes the concep...

Propositional Logic of Imperfect Information: Foundations and Applications

I will show that the semantic structure of a new imperfectinformation propositional logic can be described in terms of extensive forms of semantic games. I will discuss some ensuing properties of these games such as imperfect recall, informational consistency, and team playing. Finally, I will suggest a couple of applications that arise in physics, and most notably in quantum theory and quantum...

Philosophical Foundations of Information Modeling

Modeling of Decision Maker Under Imperfect Information

In real-life, imperfect information is commonly present in all the components of the decision making problem. In decision making problems a DM is almost never provided with perfect, that is ideal decision relevant information to determine states of nature, outcomes, probabilities, etc. We are known that, relevant information almost always comes imperfect. Imperfect information is information wh...

Foundations of Causal Inference

Causal inference is usually concerned with exploring causal relations among random variables X1, . . . , Xn after observing sufficiently many samples drawn from the joint probability distribution. The formal basis is the Causal Markov Condition stating that every variable is conditionally statistically independent of its nondescendants, given its parents with respect to the directed acyclic gra...