Skip to content
#explainable ai Open access

From Universality to Consciousness: Beyond the Skull, Into the World

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition

Abstract

AbstractThe laws of the world are common, but the world does not appear in the same manner to everybearer. This paper explains that difference without treating it as an exception to universal law. Its proposal is that a history of relations with the world folds back into the present as a condition of further formation. History is not exhausted by a collection of past contents. It is a presently operative organization that changes what can be received, distinguished, retained, and made possible next.The same input can therefore be actualized differently through differently formed organizations, and the consequence of each actualization becomes a condition of what follows.I identify qualia with the manner in which the world appears along such a formed path. A quale is neither the latent historical structure by itself nor a scalar magnitude of change. It is the event in which a difference in the world is actualized with the quality, temporality, significance, and privacy specific to this history. This constitutive identification is the philosophical center of the account. Its mechanistic conditions are decomposed into present receptivity, historical formation, present application, value-direction and action attribution, and consequences returned from an independent world.The preserved computational studies separate structural differentiation from historical efficacy,storage from access, informational return from attribution to one’s own action, and persistence from correctability. A nonlinear AI MIX increases some history-dependent effects and improves initial incorporation of novel directions, but it does not establish a general advantage in long-term retention. Passive Allen analyses preserve relative historical differences while failing the preregistered principal signature of prospective formation. History-community constructions offer candidates for describing quality, intensity, breadth, and connectivity, whereas the formation of a third relation-community and the structure of particular emotions remain unconfirmed hypotheses.Psychophysics, memory research, representational geometry, and connectomics constrain different parts of the proposal. They must not be pooled as though they were one experiment. This paper does not claim to derive phenomenal consciousness from computational scores. It gives a continuous explanatory path from universality through individuation and latent geometry to the actualization of a world for a bearer; it states why that actualization should be identified with experience, and it retains the burden carried by that identification.

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
#artificial intelligence Conference Open access Jun 2018

The Key Concepts of Ethics of Artificial Intelligence

It is suggested that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.

Ville Vakkuri, P. Abrahamsson · 39 citations · ⚡2

Related blog posts

GPT-Lab Sep 17, 2026

Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering

AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.

MIT News · Artificial Intelligence Sep 14, 2026

New method enables AI for safety-critical situations

The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.

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