Morphological Semiosis

2007 ◽  
pp. 42-69
Author(s):  
Edwina Taborsky
Keyword(s):  
Information Systems ◽  
Complex Network ◽  
Morphological Form

This chapter argues that reality, both material and conceptual, functions as a complex network of continuous adaptive morphological formation. The morphological form is a well-formed form (wff), a Sign. It materializes as this informational form within a function, an irreducible triad, where f(x)=x models the three procedures of input/mediation/output. The procedures are, in themselves, relations, which are encoded spatial and temporal measurements that enable both symmetrical and asymmetrical informational interactions. Using a Cartesian quadrant, the six possible relations are examined to show how reality is molded into well-formed forms, or signs, to provide capacities for both random and planned information and for both mechanical and reasoned templates of informational behavior. It is hoped that such an applied analysis of information can enable researchers to construct and manage artificial information systems.

scholarly journals Robustness of Smart Manufacturing Information Systems under Conditions of Resource Failure: A Complex Network Perspective

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 3731-3738 ◽  
Author(s):  
Zhiting Song ◽  
Yanming Sun ◽  
Hehua Yan ◽  
Dingjuan Wu ◽  
Peng Niu ◽  
...  
Keyword(s):  
Information Systems ◽  
Complex Network ◽  
Smart Manufacturing ◽  
Manufacturing Information

scholarly journals A Model for Quantifying the Agent of a Complex Network in Conditions of Incomplete Awareness

2021 ◽  
pp. 26-35
Author(s):  
Andrey Kalashnikov ◽  
◽  
Konstantin Bugajskij ◽  
Keyword(s):  
Information Systems ◽  
Complex Network ◽  
Kolmogorov Complexity ◽  
Binary Sequence ◽  
Data Transformation ◽  
Point Of View ◽  
Negative Consequences ◽  
Complex Information ◽  
Uncertainty Function ◽  
Qualitative Level

Purpose of the article: development of a mechanism for quantitative evaluation of elements of complex information systems in conditions of insufficient information about the presence of vulnerabilities. Research method: mathematical modeling of uncertainty estimation based on binary convolution and Kolmogorov complexity. Data banks on vulnerabilities and weaknesses are used as initial data for modeling. The result: it is shown that the operation of an element of a complex network can be represented by data transformation procedures, which consist of a sequence of operations in time, described by weaknesses and related vulnerabilities. Each operation can be evaluated at a qualitative level in terms of the severity of the consequences in the event of the implementation of potential weaknesses. The use of binary convolution and universal coding makes it possible to translate qualitative estimates into a binary sequence – a word in the alphabet {0,1}. The sequence of such words — as the uncertainty function — describes the possible negative consequences of implementing data transformation procedures due to the presence of weaknesses in an element of a complex system. It is proposed to use the Kolmogorov complexity to quantify the uncertainty function. The use of a Turing machine for calculating the uncertainty function provides a universal mechanism for evaluating elements of complex information systems from the point of view of information security, regardless of their software and hardware implementation.

scholarly journals Complex Network Into Geographical Information Systems

2016 ◽  
Author(s):  
Beatriz Marques Moreira Silva ◽  
Lucas Valerio Oliveira ◽  
Maria Carolina Barbosa Jurema ◽  
Leonardo Bacelar Lima Santos
Keyword(s):  
Information Systems ◽  
Complex Network ◽  
Geographical Information Systems ◽  
Geographical Information

Cost Containment in Information Systems

1984 ◽  
Vol 1 (1) ◽  
pp. 175-185
Author(s):  
Michael E. D. Koenig
Keyword(s):  
Information Systems ◽  
Cost Containment

Trust in Management Information Systems (MIS)

2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel
Keyword(s):  
Information Systems ◽  
Information Overload ◽  
Management Information Systems ◽  
Empirical Work ◽  
Future Research ◽  
Management Information ◽  
Trust In Management ◽  
Actual Use ◽  
Trust In Technology ◽  
The Internet Of Things

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.

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