Utilizing System’s Communication and Principles as Drivers for Effective System Development
Akinola Kila*
School of Computing, University of Portsmouth, United Kingdom
*Corresponding Author: Akinola Kila, School of Computing, University of Portsmouth, United Kingdom.
Published: December 19, 2023
Abstract
In this paper, the author identifies different key drivers of human activity systems by viewing communication from a system’s perspective. These drivers include signs of meaning, behaviours, structure, and process. These signs can assist system designers/analysts in identifying these four elements (meaning, behaviours, structures and process), both conceptual and concrete. By pinpointing these signs, the authors posit that it becomes feasible to assess any misalignment among elements of the human activity system and thereby enhance its success in achieving its purpose. Consequently, the interplay between conceptual and concrete systems can be more strategically engineered to elevate system effectiveness and efficiency.
With the advent of Natural programming Language (NLP) and artificial intelligence (AI), the author posits that it is now possible to bridge the gap between physical or discrete systems and human activity systems. System designers or analysts can train prompts to register and recognise human activity systems’ signs to enable AI (Artificial intelligence) to learn from them without having to write mathematically inspired lines of code but using a natural human language.
It is the aim of the author to improve system’s literacy amongst practitioners and academics through this work. This paper builds on the author’s recent work on the conceptualisation of decision-making as a human activity system (D’MHAS) and presents key drivers of the human activity system within the concept of system, signs and purpose.
Keywords: System; Signs; Human activity system; Purpose
.