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Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing:
- solutions by mathematical methods of problems emerging in computer science
- solutions of mathematical problems inspired by computer science.
Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, & algebraic and categorical methods.
Authors: Kleijn, Jetty | Leuştean, Laurenţiu | Lucanu, Dorel
Article Type: Other
DOI: 10.3233/FI-2020-1917
Citation: Fundamenta Informaticae, vol. 173, no. 2-3, pp. i-ii, 2020
Authors: Sofronie-Stokkermans, Viorica
Article Type: Research Article
Abstract: In this paper we study possibilities of using hierarchical reasoning, symbol elimination and model generation for the verification of parametric systems, where the parameters can be constants or functions. Our goal is to automatically provide guarantees that such systems satisfy certain safety or invariance conditions. We analyze the possibility of automatically generating such guarantees in the form of constraints on parameters. We illustrate our methods on several examples.
DOI: 10.3233/FI-2020-1918
Citation: Fundamenta Informaticae, vol. 173, no. 2-3, pp. 91-138, 2020
Authors: Paduraru, Ciprian Ionut | Stefanescu, Gheorghe
Article Type: Research Article
Abstract: The relation between a structure and the function it runs is of interest in many fields, including computer science, biology (organ vs. function) and psychology (body vs. mind). Our paper addresses this question with reference to computer science recent hardware and software advances, particularly in areas as Robotics, Self-Adaptive Systems, IoT, CPS, AI-Hardware, etc. At the modelling, conceptual level our main contribution is the introduction of the concept of “virtual organism” (VO), to populate the intermediary level between reconfigurable hardware agents and intelligent, adaptive software agents. A virtual organism has a structure, resembling the hardware capabilities, and it runs …low-level functions, implementing the software requirements. The model is compositional in space (allowing the virtual organisms to aggregate into larger organisms) and in time (allowing the virtual organisms to get composed functionalities). The virtual organisms studied here are in 2D (two dimensions) and their structures are described by 2D patterns (adding time, we get a 3D model). By reconfiguration an organism may change its structure to another structure in the same 2D pattern. We illustrate the VO concept with a few increasingly more complex VO’s dealing with flow management or a publisher-subscriber mechanism for handling services. We implemented a simulator for a VO, collecting flow over a tree-structure (TC-VO), and the quantitative results show reconfigurable structures are better suited than fixed structures in dynamically changing environments. Finally, we briefly show how Agapia - a structured parallel, interactive programming language where dataflow and control flow structures can be freely mixed - may be used for getting quick implementations for VO’s simulation. Show more
Keywords: Distributed programming languages, Self-organizing autonomic computing, Heterogeneous (hybrid) systems, Hardware-software binding, 2D regular expressions, Agapia programming
DOI: 10.3233/FI-2020-1919
Citation: Fundamenta Informaticae, vol. 173, no. 2-3, pp. 139-176, 2020
Authors: Diaconescu, Denisa
Article Type: Research Article
Abstract: In this paper we investigate the Hennessy-Milner property for models of many-valued modal logics defined based on complete MTL-chains having many-valued accessibility relations. Our main result gives a necessary and sufficient algebraic condition for the class of image-finite models for such modal logics to admit the Hennessy-Milner property.
Keywords: many-valued logics, modal logics, bisimulation, Hennessy-Milner property
DOI: 10.3233/FI-2020-1920
Citation: Fundamenta Informaticae, vol. 173, no. 2-3, pp. 177-189, 2020
Authors: Leuştean, Ioana | Moangă, Natalia | Şerbănuţă, Traian Florin
Article Type: Research Article
Abstract: We propose a general system that combines the powerful features of modal logic and many-sorted reasoning. Its algebraic semantics leads to a many-sorted generalization of boolean algebras with operators, for which we prove the analogue of the Jónsson-Tarski theorem. Our goal was to deepen the connections between modal logic and program verification, while also testing the expressiveness of our system by defining a small imperative language and its operational semantics.
Keywords: Polyadic modal logic, many-sorted logic, boolean algebras with operators, many-sorted algebras, Jónsson-Tarski theorem, operational semantics
DOI: 10.3233/FI-2020-1921
Citation: Fundamenta Informaticae, vol. 173, no. 2-3, pp. 191-215, 2020
Authors: Caltais, Georgiana | Mousavi, Mohammad Reza | Singh, Hargurbir
Article Type: Research Article
Abstract: Determining and computing root causes in system failures is a significant issue in science and engineering. In this paper, we introduce a notion of causality for explaining counterexamples in system analysis based on formal models. The counter-examples are produced by checking for hazardous situations expressed in the Hennessy-Milner Logic, in the context of Labelled Transition System models. We also introduce CauseJMu, a tool for automatically identifying such causal computations within a system model. CauseJMu relies on encoding causality in terms of an extension of Hennessy-Milner Logic to recursive formulae with data. The encodings enable deciding whether a certain computation is …causal or not, using the mCRL2 model checker. Show more
Keywords: Cauality, Counterfactual causal reasoning, Concurrency, Labelled Transition Systems, Hennessy Milner Logic, Safety, Model-checking, Process algebra, mCRL2
DOI: 10.3233/FI-2020-1922
Citation: Fundamenta Informaticae, vol. 173, no. 2-3, pp. 217-251, 2020
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