Aligning Software Engineering and Artificial Intelligence With Transdisciplinary

Study examined AI and SE transdisciplinarity to find ways of aligning them to enable development of AI-SE transdisciplinary theory. Literature review and analysis method was used. The findings are AI and SE transdisciplinarity is tacit with islands within and between them that can be linked to accelerate their transdisciplinary orientation by codification, internally developing and externally borrowing and adapting transdisciplinary theories. Lack of theory has been identified as the major barrier toward towards maturing the two disciplines as engineering disciplines. Creating AI and SE transdisciplinary theory would contribute to maturing AI and SE engineering disciplines. Implications of study are transdisciplinary theory can support mode 2 and 3 AI and SE innovations; provide an alternative for maturing two disciplines as engineering disciplines. Study’s originality it’s first in SE, AI or their intersections.

TRANSDISCIPLINARITY THEORY THROUGH PLATO PHILOSOPHY, TAOISM, ALCHEMICAL TRADITION AND JUNGIAN PSYCHOLOGY

Transdisciplinary is a paradigm based on the integration and balance of opposite points of view (dualities). This paper methodology involves transdisciplinarity applied to problem solutions, mainly from 1) Plato philosophy; 2) Taoist principle of duality Yin Yang, 3) Jungian psychology, so connected to modern physics and 4) Weil, Leloup and Crema psychological vision of holistic transdisciplinarity. Our findings in this regard involves Figure 11 for Jungian functions and Figure 12 model for problem solving through duality plus four elements. The objective is to create a comprehensive understanding of reality through Plato and Taoist philosophies, Alchemical tradition and Jungian psychology improved by the MBTI system, as tools for problem solving. Understanding the psychological types types to comprehend on how to achieve the best of each one, due to their innate strengths and capacities, so that a synergy of results can be created within the relationships. The MBTI serves both i) for self-knowledge, to make his own self-management on a day-to-day life, and ii) to understand how other people work psychologically, so that a synergy can be created in the process of relationships. The applied transdisciplinary approach is based on the principles of i) duality – interaction and integration of opposites, specially the analytical and synthetic methods and ii) four elements - rationality, feasibility, reasonableness and meaning. However, it is not a simplistic or a magical-vitalistic approach as it may seem to rationalists at first, as far as modern physics is concerned. The holistic view of reality, including holology (the study of the whole) and holopraxis (the praxis of the whole) can´t be confused with political ideology, something that happens very frequently to scientificists, who consider themselves "exempt" and “impartial”. Finally, the core idea is to promote transformation of the culture and personal behavior, connected to reasonableness and meaning, emotional and intuitive intelligences, mainly because of psychological sustainability and mental health.

Controlling the Complexity of Hierarchical Scheduling Frameworks

Hierarchical scheduling frameworks are a new scheduling paradigm where multiple system schedules are integrated (one-within-another). HSFs presents a multi-layered complexity problem that system engineers are struggling to contain. A promising trend in the aerospace and defense industry is to employ Digital Engineering’s Model-Based Systems Engineering (MBSE) to deal with the complexity of HSFs. MBSE permits the abstraction of application-specific details that can radically speed up system design exploration. Thus, this paper investigates how the output from an HSF algorithm can be converted into an MBSE modeling language that enables architectural exploration for resource allocation. The Unified Modeling Language (UML) Modeling and Analysis of Real-Time and Embedded Systems (MARTE) Profile is the chosen unified modeling language of MBSE. The modeling language is used with an HSF application for demonstration purposes. The approach in this paper seeks to limit tool use by combining an inline verification method (Genetic Algorithm) with a new MBSE workflow.

Development Cycle Modeling: Transdisciplinary Implications

This paper argues that development (product, system, software, etc.) is an inherently transdisciplinary activity. Development is defined as the conversion of ideas into their manifestations. This conversion is often characterized by development phases, e.g., concept, requirements, design, implementation, and evaluation/testing (CRDIE). Iterative sequences of these phases form development cycles. Development cycles drive new product creation as well as product quality and cost and utility. Consequently, understanding development cycles is important. Models can provide insight; however, end-to-end quantitative development cycle models are, at best, rare. This paper outlines such a model, the Statistical Agent-based Model of Development and Evaluation (SAbMDE). For purposes of this paper, transdisciplinarity is defined as a developer’s holistic view of reality as filtered by that developer’s sensory input and perception of that reality. The model builds its mathematical and logical structures on a foundational concept that includes and describes this sensory and perceptual integration. Because the proposed model has this transdisciplinary characteristic, the model's use and results will have transdisciplinary implications. One implication: Ideas are discovered, not created. Another: A developer must first adjust their perception to see the development path that leads to a desired end product before they can traverse that path. A third: The ordering of information in a development space must be maintained.. This paper defines a minimal SAbMDE model that logically and mathematically reveals these and other SAbMDE transdisciplinarity implications.

The History, Landscapes, Metaphors and Ghosts Around the Concept of Specificity

The confusion between objects/processes and the language which describes them, leads to theories of doubtful verisimilitude about reality, inappropriate in time and even false, which distance us from the knowledge of perceived reality. In biology there are many examples of this kind of epistemological problem. Here we examine those related with specificity: a theoretical entity of enormous importance for biology and science in general. It sinks its roots beneath the evolutionary duality species-specificity, associated with the Linnean-Darwinist tradition that explains organized life in a discrete and hierarchical way. It conceptualizes the individual as an isolated agent fighting for survival as the foundation of a warrior vision of the immune system. Microorganisms are understood as inferior beings which should be eliminated in accordance with the self/not-self distinction. The use of these metaphors outside of historical context traces a map that guides the recognition of the Self and of the other according to the dialectic of Western biopolitics.

The COVID-19 Crisis and Complexity in the United States

The main objective of this research is to present a transdisciplinary research process which identifies the complexity of the issues surrounding COVID-19 using collective intelligence through transdisciplinarycollaborative effort. Interpretive Structural Modeling (ISM), a methodology for dealing with complexsystem design and development has been the key component of this research. Building collective intelligence to understand how factors affecting COVID-19 transmission and fatality and their relationships were investigated. The complexity measure of the COVID-19 was investigated by using cyclomatic complexity. The results showed that the complexity of the COVID-19 is difficult to understand and handle.