Reasoning about knowledge
A logic for information flow in object-oriented programs
Conference record of the 33rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Introducing Justification into Epistemic Logic
Journal of Logic and Computation
Logical Consecutions in Intransitive Temporal Linear Logic of Finite Intervals
Journal of Logic and Computation
Science of Computer Programming
Abduction and chance discovery in science
International Journal of Knowledge-based and Intelligent Engineering Systems - Chance discovery
Gap between advertisers and designers: Results of visualizing messages
International Journal of Knowledge-based and Intelligent Engineering Systems - Chance discovery
Detection of stock price movements using chance discovery and genetic programming
International Journal of Knowledge-based and Intelligent Engineering Systems - Chance discovery
Special issue on chance discovery
International Journal of Knowledge-based and Intelligent Engineering Systems - Chance discovery
Topological semantics of justification logic
CSR'08 Proceedings of the 3rd international conference on Computer science: theory and applications
Linear temporal logic with until and before on integer numbers, deciding algorithms
CSR'06 Proceedings of the First international computer science conference on Theory and Applications
Modeling a resource contention in the management of virtual organizations
Information Sciences: an International Journal
A first step towards argumentation dialogues for discovery
TAFA'11 Proceedings of the First international conference on Theory and Applications of Formal Argumentation
Architecture and protocol for intercloud communication
Information Sciences: an International Journal
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In this paper we study logical properties of the operation chance discovery (CD) via structures based on special Kripke/Hintikka models. These models use as bases partially ordered sets of indexes (indexes of steps in a computation, or ones indicating time points in a time flow), and clusters of states associated to each index. The language chosen to build the logical formulas includes modal/temporal operations, operations for the agents' knowledge, local and global operations for CD, operation of local common knowledge, and an operation for chance of discovery via agents' interactions. We introduce and study a logic (of knowledge and discovery via interaction of agents), LDK"a, which is defined by semantics, as the set of all formulas that are valid in all suggested models. The paper provides an algorithm to recognize logical laws (and satisfiable formulas) of LDK"a. The algorithm replaces a formula with a rule in a special, so-called reduced normal form, and, then it verifies the validity of this rule in specific models of exponential size in the size of the rule. We show that the problem of computing the true logical laws of LDK"a is decidable.