Alexander Tchitchigin

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In this paper we present a new neurobiologically-inspired affective cog-nitive architecture: NEUCOGAR (NEUromodulating COGnitive ARchitecture). The objective of NEUCOGAR is the identification of a mapping from the influence of serotonin, dopamine and noradrenaline to the computing processes based on Von Neuman's architecture, in order to implement(More)
Jolie is a programming language that follows the microservices paradigm. As an open source project, it has built a community of developers worldwide - both in the industry as well as in academia - taken care of the development, continuously improved its usability, and therefore broadened the adoption. In this paper, we present some of the most recent(More)
Jolie is the first language for microservices and it is currently dynamically type checked. This paper considers the opportunity to integrate dynamic and static type checking with the introduction of refinement types, verified via SMT solver. The integration of the two aspects allows a scenario where the static verification of internal services and the(More)
Static verification of source code correctness is a major milestone towards software reliability. The dynamic type system of the Jolie programming language, at the moment, allows avoidable run-time errors. A static type system for the language has been exhaustively and formally defined on paper, but still lacks an implementation. In this paper, we describe(More)
In this paper we present the next step in our approach to neurobiologically plausible implementation of emotional reactions and behaviors for real-time autonomous robotic systems. The working metaphor we use is the " day and the " night " phases of mammalian life. During the " day phase " a robotic system stores the inbound information and is controlled by(More)
—Many verification tools come out of academic projects, whose natural constraints do not typically lead to a strong focus on usability. For widespread use, however, usability is essential. Using a well-known benchmark, the Tokeneer problem, we evaluate the usability of a recent and promising verification tool: AutoProof. The results show the efficacy of the(More)
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