Applying an active strategy for updating the potential properties of human-machine complexes in the processes of their design and operation

Ergodesign ◽  
2021 ◽  
Vol 0 (3) ◽  
pp. 188-196
Author(s):  
Sergey Bagretsov ◽  
Evgeny Shalonov ◽  
Lyudmila Rozanova

The analysis of the literature, reflecting the problem of potentiality in creating complex systems, including human-machine complexes (HMC) is carried out. On the basis of the generalized data, potentiality is defined as a fundamental property of objective reality, an integral part of the integrity structure of complex objects, which in the process of their functioning manifests itself in the form of engineering control situations unforeseen by the developers. A strategy for solving the problem of revealing the potential properties of HMC is considered from the viewpoint of comparing two approaches of “passive” and “active” strategies. A “passive” strategy means that the situations that arise unforeseen by the developers are taken into account by them, usually in the future when improving the technique. This approach does not consider the specifics of manifesting the systemic properties of the HMC and is incorrect from the methodological positions of modern systemic studies that assert the equivalence of subject-object relations in HMC. An “active” strategy for solving the problem under study includes a targeted search, disclosure and actualization of the potential properties of an object not only at the stages of its design and creation, but also at the stages of the exploitation in the joint activity of all professionals, namely developers, operators, engineering psychologists. This approach is based on forecasting and studying the potential properties of an exploited object on the basis of organizing a systematic and controlled cognitive process and studying the dynamics of changes in its operational characteristics under conditions of external factors that go beyond normal situations. It is concluded that to assess the characteristics of the HMC and determine the rational organization of its structures, it is necessary to develop an “active” strategy that allows using any type of information, including accurate data obtained on the basis of the deterministic methods of analysis, and inaccurate data obtained on the basis of an analysis of intuition, experience, considering all specialists’ values of judgments and figurative guesses, which will contribute to disclosing the potential of the created technical objects in the process of ergonomic support for their design and operation.

1997 ◽  
Vol 20 ◽  
pp. 109-110 ◽  
Author(s):  
H. W. Erhard ◽  
M. Mendl

The concept of ‘coping strategies’ has received increasing attention over the last few years. Benus et al. (1991) reported two major types of strategy in rodents. These were the so-called active and passive strategies. The active strategy consists of being aggressive, forming behavioural routines and showing low responsiveness to changes in the environment, the passive strategy involves being low aggressive, flexible and responsive to changes in the environment. Hessing et al. (1993) reported similar findings in pigs. These strategies have potential implications for pig husbandry, since they may be more or less adaptive in specific farming environments.


2011 ◽  
Vol 34 (1) ◽  
pp. 37-37 ◽  
Author(s):  
Antonio Preti ◽  
Paola Miotto

AbstractSocial desirability can be conceived as a proxy for self-deception, as it involves a positive attribution side and a denial side. People with mental disorders have lower scores on measures of social desirability, which could depend on cognitive load caused by symptoms. This suggests that self-deception is an active strategy and not merely a faulty cognitive process.


2016 ◽  
Vol 7 (1) ◽  
pp. 41
Author(s):  
Venus Kusumawardana

The purpose of this study was to test an active strategy (moving leverage) with a passive strategy (buy, sell and hold strategy) to determine which strategy to generate optimal returns with to compair of all strategy. Method by collecting data is then processed and analyzed using software ChartNexus. An indicators moving everage 5, 10, 30, bollingerband and compare the return of an active strategy with passive strategies. The results of this research note that suitable and appropriate technical analysis to forecast stock prices to determine buy, sell and hold, to optimize stock returns and shows that an active strategy is able to out perform a passive strategy when the market is bearish and volatile. The use of passive strategies can provide superior results, when used on a very bullish market conditions. Volatile market conditions that are more suitable to use the strategy of comparison between the strategies of active and passive strategies. 


Author(s):  
Loddy Li Putra ◽  
Werner R. Murhadi ◽  
Putu Anom Mahadwartha

This study aims to test whether active strategies with Moving averages are superior to the passive strategy Buy-and-Hold Strategy in stock portfolios formed based on LQ45 index. Research method used in the research begins with the collection of data which is then processed and analyzed. Subsequently Application ChartNexus used in order to form MA5&MA20 and MA10&30. Lastly the research  compare return from active strategies (moving average) and the passive strategy (buy-and-hold strategy). The results of this study indicate that passive strategy with buy-and-hold strategy is able to outperform the moving average active strategy when the market is bullish.


2021 ◽  
Vol 11 (4) ◽  
pp. 1786
Author(s):  
Kensuke Miyamoto ◽  
Norifumi Watanabe ◽  
Yoshiyasu Takefuji

In human’s cooperative behavior, there are two strategies: a passive behavioral strategy based on others’ behaviors and an active behavioral strategy based on the objective-first. However, it is not clear how to acquire a meta-strategy to switch those strategies. The purpose of the proposed study is to create agents with the meta-strategy and to enable complex behavioral choices with a high degree of coordination. In this study, we have experimented by using multi-agent collision avoidance simulations as an example of cooperative tasks. In the experiments, we have used reinforcement learning to obtain an active strategy and a passive strategy by rewarding the interaction with agents facing each other. Furthermore, we have examined and verified the meta-strategy in situations with opponent’s strategy switched.


2020 ◽  
Vol 8 (1) ◽  
pp. 29
Author(s):  
Tuti Bahfiarti

Stigma dan sanksi sosial mantan narapidana dalam budaya Bugis Makassar masih identik dengan nilai-nilai siri’. Mantan narapidana cenderung memiliki kegelisahan dan ketidakpastian dalam konteks komunikasi kelompok ketika proses interaksi awal. Identitas mantan narapidana menjadi faktor penghambat dalam berinteraksi dengan masyarakat Bugis Makassar. Tujuan penelitian untuk mengekplorasi, mengidentifikasi, dan mengkategorisasi pola kegelisahan dan ketidakpastian mantan narapidana dalam konteks komunikasi kelompok budaya Bugis Makassar. Pendekatan penelitian kualitatif mengacu pada studi kasus mantan narapidana yang secara psikologis mengalami kegelisahan dan ketidakpastian mulai interaksi awal dan interaksi langsung dengan masyarakat Bugis Makassar. Studi kasus berfokus pada mantan narapidana laki-laki dan perempuan dengan pola kejahatan yang berbeda. Hasil Penelitian mengidenfikasi kasus mantan narapidana yang cenderung tertutup berkomunikasi dalam kelompok Bugis Makassar. Pola kegelisahan dan ketidakpastian menyebabkan mantan narapidana menggunakan strategi mengurangi ketidakpastian yakni, strategi pasif (passive strategy) ditandai penarikan diri dan sikap pasif dan strategi aktif (active strategy) membuka diri dan aktif dalam berinteraksi dan berkomunikasi dalam kelompok budaya Bugis Makassar). Hasil penelitian bermanfaat bagi masyarakat Bugis Makassar untuk lebih terbuka, menghilangkan stigma negatif dan menerima identitas mantan narapidana dalam lingkungannya. Pihak Lembaga Pemasyarakatan dapat lebih mengintensifkan pola pembinaan dan persiapan mental narapidana ketika bebas dan menjalankan kehidupan bermasyarakat untuk lebih terbuka berinteraksi dalam kelompoknya.


Author(s):  
Harry A. Atwater ◽  
C.M. Yang ◽  
K.V. Shcheglov

Studies of the initial stages of nucleation of silicon and germanium have yielded insights that point the way to achievement of engineering control over crystal size evolution at the nanometer scale. In addition to their importance in understanding fundamental issues in nucleation, these studies are relevant to efforts to (i) control the size distributions of silicon and germanium “quantum dots𠇍, which will in turn enable control of the optical properties of these materials, (ii) and control the kinetics of crystallization of amorphous silicon and germanium films on amorphous insulating substrates so as to, e.g., produce crystalline grains of essentially arbitrary size.Ge quantum dot nanocrystals with average sizes between 2 nm and 9 nm were formed by room temperature ion implantation into SiO2, followed by precipitation during thermal anneals at temperatures between 30°C and 1200°C[1]. Surprisingly, it was found that Ge nanocrystal nucleation occurs at room temperature as shown in Fig. 1, and that subsequent microstructural evolution occurred via coarsening of the initial distribution.


1984 ◽  
Vol 29 (1) ◽  
pp. 13-14
Author(s):  
John J. Geyer

Author(s):  
Salvatore P. Schipani ◽  
◽  
Richard S. Bruno ◽  
Michael A. Lattin ◽  
Bobby M. King ◽  
...  

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