Skip to content
#generative ai Open access

TITLE Conceptual Worldbuilding & Generative Realities at the Limit DESCRIPTION Conceptual Worldbuilding & Generative Realities at the Limit develops a falsifiable research architecture for turning concepts into interactive digital worlds, social simulations, digital twins, and institutional prototypes without confusing internal coherence with external reality. The book is organized around a core tri-coupling: Conceptual Rules × Executable Worlds × Reality Feedback. Its central candidate relation is WorldValidity = RuleCoherence × TaskReplay × ExternalTransfer, with a strict condition: ExternalTransfer remains UNKNOWN until independently tested. Immersion, elegance, agent fluency, and repeated success inside a simulator are treated as insufficient evidence of causal validity in the physical or institutional world. The volume contains a thirty-formula mathematical prelude, eighty-two chapters in a single-section-per-page architecture, two hundred Research Gates, thirty-three Phoenix Answer Embryos, and 233 Easter-Egg Equations. It integrates state-space models, conservation laws, stochastic processes, causal inference, robust control, information theory, game theory, network dynamics, transfer geometry, digital-twin validation, rights constraints, resource ledgers, participatory governance, data portability, shutdown, and responsible world retirement. Five research layers structure the work: declaring boundaries and state transitions; compiling concepts into versioned rules; testing counterfactuals, scarcity, rights, and extreme conditions; cross-validating simulations with real-world data; and designing world branching, refusal, exit, shutdown, and succession. The result is a world-rule package, a digital-prototype methodology, and a transfer-failure map for researchers, designers, policymakers, AI system builders, and future civilizational studies. This is a research architecture rather than a claim that generated worlds are newly created physical universes. Book-defined equations are candidate models and indicators, not validated natural laws. Every major claim is paired with an applicability domain, measurement path, competing explanation, falsification boundary, and successor revision route. Author: Feng Cheng-En (pen name: 33)

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

Abstract

TITLEConceptual Worldbuilding & Generative Realities at the Limit DESCRIPTIONConceptual Worldbuilding & Generative Realities at the Limit develops a falsifiable research architecture for turning concepts into interactive digital worlds, social simulations, digital twins, and institutional prototypes without confusing internal coherence with external reality. The book is organized around a core tri-coupling: Conceptual Rules × Executable Worlds × Reality Feedback. Its central candidate relation is WorldValidity = RuleCoherence × TaskReplay × ExternalTransfer, with a strict condition: ExternalTransfer remains UNKNOWN until independently tested. Immersion, elegance, agent fluency, and repeated success inside a simulator are treated as insufficient evidence of causal validity in the physical or institutional world. The volume contains a thirty-formula mathematical prelude, eighty-two chapters in a single-section-per-page architecture, two hundred Research Gates, thirty-three Phoenix Answer Embryos, and 233 Easter-Egg Equations. It integrates state-space models, conservation laws, stochastic processes, causal inference, robust control, information theory, game theory, network dynamics, transfer geometry, digital-twin validation, rights constraints, resource ledgers, participatory governance, data portability, shutdown, and responsible world retirement. Five research layers structure the work: declaring boundaries and state transitions; compiling concepts into versioned rules; testing counterfactuals, scarcity, rights, and extreme conditions; cross-validating simulations with real-world data; and designing world branching, refusal, exit, shutdown, and succession. The result is a world-rule package, a digital-prototype methodology, and a transfer-failure map for researchers, designers, policymakers, AI system builders, and future civilizational studies. This is a research architecture rather than a claim that generated worlds are newly created physical universes. Book-defined equations are candidate models and indicators, not validated natural laws. Every major claim is paired with an applicability domain, measurement path, competing explanation, falsification boundary, and successor revision route. Author: Feng Cheng-En (pen name: 33)

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 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 Feb 2024

Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis

The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.

Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al. · 41 citations

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

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