Papers by Alex Kosorukoff
Abstract All activity of a man is devoted to constructing desirable relationships between materia... more Abstract All activity of a man is devoted to constructing desirable relationships between material and formal objects. In this work, an approach for solving a narrower task is suggested: the synthesis of desirable relationships between objects presented as black boxes with some inputs and outputs. The existence of the relations is usually restricted by some conditions.
Abstract Genetic algorithm (GA) is an optimization procedure that uses a simpli ed model of natur... more Abstract Genetic algorithm (GA) is an optimization procedure that uses a simpli ed model of natural evolution to achieve an objective of optimization represented by a tness function. The number of tness function evaluations is a major factor determining the e ciency of a GA. This paper addresses the issue of incremental evaluation which, if applicable, substantially reduces the complexity of evaluation.
Abstract The goal of precise and reliable separation of a product into useful and useless parts d... more Abstract The goal of precise and reliable separation of a product into useful and useless parts demands the cooperation of a set of separating elements. The grouping of them in a cascade allows us to obtain an especially re ned product. When the number of the elements is large, characteristics of the cascade depend more on its structure than on the quality of an individual separation element (classi er).
Dynamical remodeling of the transcriptome during short-term anaerobiosis in Saccharomyces cerevisiae: differential response and role of Msn2 and/or Msn4 and other factors in galactose and glucose media
ABSTRACT In contrast to previous steady-state analyses of the O 2-responsive transcriptome, here ... more ABSTRACT In contrast to previous steady-state analyses of the O 2-responsive transcriptome, here we examined the dynamics of the response to short-term anaerobiosis (2 generations) in both catabolite-repressed (glucose) and derepressed (galactose) cells, assessed the specific role that Msn2 and Msn4 play in mediating the response, and identified gene networks using a novel clustering approach.
Metabolic-state-dependent remodeling of the transcriptome in response to anoxia and subsequent reoxygenation in Saccharomyces cerevisiae
ABSTRACT We conducted a comprehensive genomic analysis of the temporal response of yeast to anaer... more ABSTRACT We conducted a comprehensive genomic analysis of the temporal response of yeast to anaerobiosis (six generations) and subsequent aerobic recovery (≈ 2 generations) to reveal metabolic-state (galactose versus glucose)-dependent differences in gene network activity and function. Analysis of variance showed that far fewer genes responded (raw P value of≤ 10− 8) to the O 2 shifts in glucose (1,603 genes) than in galactose (2,388 genes).
Abstract We present a computational model of closed-loop, pilot-displays-aircraft system designed... more Abstract We present a computational model of closed-loop, pilot-displays-aircraft system designed to evaluate the impact of the addition of a synthetic vision system (SVS) to a commercial airliner cockpit. The NASA-run empirical study revealed that while pilots rarely looked out the window during most phases of approach and landing, they devoted a substantial proportion of their gaze toward the SVS.
Abstract: Motivation: Unsupervised learning or clustering is frequently used to explore gene expr... more Abstract: Motivation: Unsupervised learning or clustering is frequently used to explore gene expression profiles for insight into both regulation and function. However, the quality of clustering results is often difficult to assess and each algorithm has tunable parameters with often no obvious way to choose appropriate values. Most algorithms also require the number of clusters to be predetermined yet this value is rarely known and, thus, is arrived at by subjective criteria.
Introduction: Memory leak in MGA-C programThis section overviews the problem of excessive memory ... more Introduction: Memory leak in MGA-C programThis section overviews the problem of excessive memory consumption in MGA-Cprogram [1] that is caused by several bugs in the sources. Frequent messages about insufficient memory made me suspect a memoryleak in the program sources. I traced the memory allocation, printing theamount of allocated memory at the end of each era. The internal logic ofalgorithm suggests that this amount should not increase significantly during therun.
Abstract Expert judgment has been conceived in contrasting ways. The naturalistic decision making... more Abstract Expert judgment has been conceived in contrasting ways. The naturalistic decision making (NDM) paradigm has put forth a largely instance-based account, viewing experts as relying on a storehouse of cases, such as in the recognition-primed decision (RPD) model. Cognitive psychology has instead advanced largely heuristic-or rule-based accounts, such as in the lens model and fast-and-frugal heuristics.
Abstract A simple model of organization as a classi cation cascade is proposed. When a certain bu... more Abstract A simple model of organization as a classi cation cascade is proposed. When a certain business plan or suggestion arrives at the organization, it should classify whether the proposed project is useful or useless. Every individual decision maker has a limited capacity to discern in advance the potential value or harm, the proposed project would bring. Carefully selected structure of decision making can reduce the risk of error even for the case, in which individual decision makers are not adequate to reach correct decisions.
Human-based genetic algorithms (HBGA) use both human evaluation and innovation to optimize a popu... more Human-based genetic algorithms (HBGA) use both human evaluation and innovation to optimize a population of solutions (Kosorukoff, 2001). The novel contribution of HBGAs is an introduction of human-based innovation operators. However, there was no attempt to measure the effect of human-based innovation operators on the overall performance of GAs quantitatively, in particular, by comparing the performance of HBGAs and interactive genetic algorithms (IGA) that do not use human innovation.
Abstract In this paper we present a concept and interface design aimed at combining expert human ... more Abstract In this paper we present a concept and interface design aimed at combining expert human judgment with computational support. The goal of this design is to leverage the strengths and simultaneously compensate for the weaknesses of both the expert and a computational model. In order to test the design, we created a task modeled after fantasy baseball, which requires competitors to predict the performance of actual Major League Baseball (MLB) players over the course of the season.
Evolutionary computation as a form of organization
Abstract Traditional areas of application of genetic algorithms (GA) are engineering and technolo... more Abstract Traditional areas of application of genetic algorithms (GA) are engineering and technology. Success of genetic algorithms there is well known. This paper explores the use of genetic algorithms as models to influence the design of organization. In particular, we outline the concept of evolutionary organization process based on two recent cases: the Teamwork for a Quality Education (TQE) and Free Knowledge Exchange (FKE) projects.
Abstract A new class of genetic algorithms (GA) is presented. It is based on the idea of outsourc... more Abstract A new class of genetic algorithms (GA) is presented. It is based on the idea of outsourcing, a popular trend in business. In a human based genetic algorithm (HBGA), all primary genetic operators are outsourced, ie delegated to external human agents. A totally outsourced genetic algorithm uses both human evaluation and the human ability of innovation. It is a multi-agent environment and the mediator of communication between multiple heterogenous agents.
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Papers by Alex Kosorukoff