The Human Decision Model

Description for Zenodo Page Title: Human Decision Model (HDM) and the Impact of Information Knowledge on the Evolution of Thought Description:This paper explores the transformative role of the internet and its appendages in shaping human decision-making and advancing societal progress. Anchored in the Human Decision Model (HDM), the work dissects how humans gather, process, and leverage information to achieve their goals, emphasizing the interplay between knowledge, motivation, and decision-making. The HDM framework is applied to the automotive retail industry, analyzing the internet’s impact over three decades while identifying trends that demonstrate the ongoing evolution of information technology and its societal influence. The paper traces humanity's progression from instinct-driven decisions to conscious, knowledge-based actions, highlighting key milestones in communication and information storage that have amplified collective understanding. By examining the evolution of decision-making within the automotive industry, it demonstrates how the internet has shifted the power dynamic between customers and dealerships, equalizing access to information and fostering informed decision-making. Furthermore, the study explores the emergence of artificial intelligence (AI) as the next transformative phase, examining its capacity to make life-altering decisions with greater speed, accuracy, and frequency. Key contributions include: Defining and applying the Human Decision Model (HDM) to trace the evolution of decision-making processes. Analyzing how the internet revolutionized the automotive retail industry, equalizing information asymmetries between consumers and dealers. Exploring AI's potential as a disruptive appendage of the internet, impacting industries and society at large. Addressing limitations of the internet, including bandwidth and access disparities, while proposing pathways to mitigate these challenges through more efficient AI algorithms. By connecting the HDM framework to historical and contemporary examples, the paper offers insights into the recursive relationship between information, knowledge, and societal advancement. It underscores the critical importance of understanding decision-making dynamics to anticipate the future role of AI and other disruptive technologies in shaping human thought and behavior. Keywords:Human Decision Model (HDM), Internet Evolution, Information Asymmetry, Artificial Intelligence, Automotive Retail, Knowledge Dynamics, Decision-Making, Technology Impact, Disruptive Technologies, Information Society. License:This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License, allowing for academic and personal use while prohibiting commercial exploitation.