Skip to content

THE EVOLUTIONARY E-SPORTS CIVILIZATION MODEL (EECM): A Grand Unified Interdisciplinary Theory of Digital-Cognitive Civilization, Cognitive Capital, Artificial Intelligence Augmentation, Neuroeconomic Transformation, Virtual Ontology, and Civilizational Evolution

Aug 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

This paper proposes the Evolutionary E-Sports Civilization Model (EECM), a grand interdisciplinary theoretical framework designed to explain the transformation of gaming, cognition, digital interaction, artificial intelligence, and virtual systems into a new civilizational paradigm. The theory argues that E-sports represents far more than organized competitive gaming; rather, it constitutes a symbolic and structural manifestation of the ongoing transition from industrial civilization toward a digital-cognitive civilization.The framework integrates mathematics, complexity science, neuroscience, psychology, philosophy, sociology, economics, political science, cybernetics, systems theory, information theory, artificial intelligence, and digital ontology into a unified explanatory architecture. It proposes that modern civilization increasingly transforms psychologically meaningful activities into measurable, monetizable, and algorithmically optimized systems of production and social organization.Within this framework, cognition itself becomes a form of capital. Human attention, strategic reasoning, adaptive intelligence, reflex optimization, emotional regulation, collaborative cognition, and digital interaction evolve into economically productive assets. The theory therefore introduces the concept of Cognitive Capital, a post-industrial expansion of classical economic production factors.The EECM framework further argues that artificial intelligence acts as a civilizational amplifier, accelerating the transformation of digital environments into self-organizing socio-economic ecosystems governed increasingly through algorithmic optimization. E-sports is analyzed as an emergent prototype of future virtual civilization structures, where entertainment, labor, economics, governance, identity, and AI converge into unified digital systems.Mathematically, the paper formalizes these transformations using nonlinear dynamical systems, complexity theory, graph theory, information entropy, game theory, network theory, chaos theory, and probabilistic scaling functions. Philosophically, the theory synthesizes concepts from Aristotle, Plato, Nietzsche, Heidegger, Marx, Foucault, Bourdieu, Sartre, Kant, and contemporary philosophy of technology. Psychologically and neuroscientifically, the model incorporates flow theory, predictive processing, dopamine reward systems, cognitive load theory, neural plasticity, and human-machine symbiosis.The framework also explores geopolitical implications, platform sovereignty, AI governance, digital identity formation, algorithmic social structures, metaverse civilization, and the future political economy of virtual systems. Ultimately, the theory proposes that E-sports is not merely a recreational phenomenon but an early-stage manifestation of a broader civilizational transition in which cognition, attention, and digital interaction become the dominant organizational principles of society.

View source

Similar papers

#artificial intelligence Conference Open access Apr 2020

ECCOLA - a Method for Implementing Ethically Aligned AI Systems

The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 64 citations · ⚡6
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3
#computer vision Conference Aug 2008

Scrum in a Multiproject Environment: An Ethnographically-Inspired Case Study on the Adoption Challenges

Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...

A. Marchenko, P. Abrahamsson · 59 citations · ⚡11
#computer vision Open access Mar 2024

LLM-based agents for automating the enhancement of user story quality: An early report

The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.

Zheying Zhang, M. Rayhan, Tomas Herda et al. · 48 citations · ⚡4
#computer vision Review Mar 2024

System for systematic literature review using multiple AI agents: Concept and an empirical evaluation

This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.

Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al. · 44 citations · ⚡2
#computer vision Open access Sep 2012

Making the leap to a software platform strategy: Issues and challenges

A comprehensive taxonomy of the challenges faced when a medium-scale organization decided to adopt software platforms is provided, namely: business challenges, organizational challenges, technical challenges, and people challenges.

Yaser Ghanam, F. Maurer, P. Abrahamsson · 41 citations · ⚡3

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.