Emergent Causality and the Foundation of Consciousness
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Abstract (arXiv)
To make accurate inferences in an interactive setting, an agent must not confuse passive observation of events with having intervened to cause them. The do operator formalises interventions so that we may reason about their effect. Yet there exist pareto optimal mathematical formalisms of general intelligence in an interactive setting which, presupposing no explicit representation of intervention, make maximally accurate inferences. We examine one such formalism. We show that in the absence of a do operator, an intervention can be represented by a variable. We then argue that variables are abstractions, and that need to explicitly represent interventions in advance arises only because we presuppose these sorts of abstractions. The aforementioned formalism avoids this and so, initial conditions permitting, representations of relevant causal interventions will emerge through induction. These emergent abstractions function as representations of one`s self and of any other object, inasmuch as the interventions of those objects impact the satisfaction of goals. We argue that this explains how one might reason about one`s own identity and intent, those of others, of one`s own as perceived by others and so on. In a narrow sense this describes what it is to be aware, and is a mechanistic explanation of aspects of consciousness.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 5 of its 26 references that are in the map. First posted on arXiv 7 Feb 2023.
Builds on
5 of 26 references.
References · 5
- 2021Shaking the foundations: delusions in sequence models for interaction and controlcited by 61
- 2023The Optimal Choice of Hypothesis Is the Weakest, Not the Shortestcited by 12
- 2021Symbol Emergence and The Solutions to Any Taskcited by 9
- 2023Computational Dualism and Objective Superintelligencecited by 8
- 2021Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AIcited by 2
Built on by
Citing papers per year: 2023: 1; 2024: 3; 2025: 3; 2026: 2.
9 papers.
- 2023On the Computation of Meaning, Language Models and Incomprehensible Horrorscited by 5
- 2024Is Complexity an Illusion?cited by 5
- 2025Agent Identity Evals: Measuring Agentic Identitycited by 5
- 2024Are Biological Systems More Intelligent Than Artificial Intelligence?cited by 4
- 2024Why Is Anything Conscious?cited by 1
- 2025Artificial Consciousness as Interface Representationcited by 1
- 2026What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertaintycited by 1
- 2025What the F*ck Is Artificial General Intelligence?cited by 0
- 2026A Mind Cannot Be Smeared Across Timecited by 0
- 2026What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty3 Mar 2026
- 2026A Mind Cannot Be Smeared Across Time11 Jan 2026
- 2025Artificial Consciousness as Interface Representation6 Aug 2025
- 2025Agent Identity Evals: Measuring Agentic Identity23 Jul 2025
- 2025What the F*ck Is Artificial General Intelligence?31 Mar 2025
- 2024Why Is Anything Conscious?22 Sep 2024
- 2024Are Biological Systems More Intelligent Than Artificial Intelligence?23 Apr 2024
- 2024Is Complexity an Illusion?31 Mar 2024
- 2023On the Computation of Meaning, Language Models and Incomprehensible Horrors25 Apr 2023