Boris Stilman

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The objective of the research considered in this paper is to develop a theoretical foundation for the representation of large-scale hierarchical complex systems, so-called Linguistic Geometry. The research relies on the formalization of heuristics of high-skilled human experts which have resulted in the development of successful decision support systems.(More)
In this paper we describe a research on two-dimensional geometrical structures for complex systems to accomplish applications to robotics, process planning and control, scheduling, decision support, etc. This research includes the development of tools for representation and reasoning about hierarchical networks of paths that are inherent for complex(More)
In this paper we describe new results of research on geometrical properties of complex control systems, the so-called Linguistic Geometry. This research includes the development of syntactic tools for knowledge representation and reasoning about large-scale hierarchical complex systems. It relies on the formalization of search heuristics of high-skilled(More)
This paper** reports new results in the development of Linguistic Geometry towards concurrent multiagent aerospace systems. This formal theory is intended to discover the inner properties of human expert heuristics, which have been successful in a certain class of complex control systems, and apply them to different systems. The Linguistic Geometry relies(More)
This paper reports new results of research, which started in 1972 in Moscow, USSR. For 16 years Boris Stilman was involved in the advanced research project PIONEER led by a formed World Chess champion, Professor Mikhail Botvinnik. The goal of the project was, at first, to discover and mathematically formalize methodologies utilized by the most advanced(More)
  • Boris Stilman
  • IEEE Trans. Systems, Man, and Cybernetics, Part B
  • 1997
This paper is a new step in the development of linguistic geometry. This formal theory is intended to discover and generalize the inner properties of human expert heuristics, which have been successful in a certain class of complex control systems, and apply them to different systems. In this paper, we investigate heuristics extracted in the form of(More)