Agüera y Arcas’s Computational Functionalism
Agüera y Arcas's “computational functionalism” exemplifies the theory of consciousness widely accepted in AI communities and other scientific disciplines: consciousness is simply an emergent function of the right kinds of computations.

Blaise Agüera y Arcas
AI Expert; VP & Fellow, Google
Blaise Agüera y Arcas is Vice President and Fellow at Google, where he is the CTO of Technology & Society, and founder of Paradigms of Intelligence. Projects include: foundations of AI, biologically inspired approaches to computation, efficient AI hardware, predictive modeling, the social scaling of AI, and artificial life. He has innovated on-device machine learning for Android and Pixel; invented Federated Learning (decentralized model training that avoids sharing private data); and founded the Artists + Machine Intelligence program. An External Professor at the Santa Fe Institute, he has authored numerous papers, essays, op-eds, chapters, and books, including "Ubi Sunt," "Who Are We Now?," and "What Is Life?" His comprehensive book, “What Is Intelligence? Lessons from AI About Evolution, Computing, and Minds,” is published by the MIT Press.
Key Takeaways
Core Claim
Consciousness emerges from the right kinds of computations, as a natural function of life and intelligence.
How It Works
Life is a self-constructing computational process; brains build predictive models, using sensory input as error correction, enabling modeling of self and others.
Distinguishing Idea
Theory of mind is the origin and mechanism of consciousness, evolving from a social “arms race” that drove self-reflection and the sense of self.
Broader View
Rejects dualism and the “hard problem” as illusions; consciousness is relational, distributed, and rooted in the computational nature of living systems.
Agüera y Arcas’s Computational Functionalism
AI engineer/visionary Blaise Agüera y Arcas's robust, coherent form of “computational functionalism” exemplifies the theory of consciousness widely accepted in AI communities and other scientific disciplines: consciousness is simply an emergent function of the right kinds of computations. It is not a mysterious, supernatural, ineffable quality but a knowable, natural, inevitable consequence of (i) computation as the foundation of life; (ii) functionalism as mental states described by their causes and effects, not by their substrates; and (iii) the way complex, predictive systems evolve and interact. Consciousness is a relational, computational process that is a fundamental property of life and intelligence (Agüera y Arcas, 2025).
Intelligence and Life as Computation
Intelligence and Life as a Form of Computation: The core of Agüera y Arcas's theory is the belief that life and intelligence are fundamentally computational. He defines life as “a self-modifying, computational state of matter that arises through evolutionary selection for the ability to persist through time by actively constructing itself, whether by growing, healing, or reproducing.” Unabashedly, he proclaims, “Yes, everything alive is a computer!” and he explains “why self-construction requires computation, and why, even more fundamentally, the concept of function or ‘purpose,’ which is central to life, is inherently computational.” Consciousness, then, is an emergent property of this computation, not something separate from it (Agüera y Arcas, 2025).
Functional Character of Living Systems: The perspective Agüera y Arcas offers is inspired by the work of Alan Turing and John von Neumann, who suggest that any system that can replicate and persist in a dynamic environment must be a form of computer. Both could be described as proponents of ‘functionalism,’ Agüera y Arcas says. “They had a healthy disregard for disciplinary boundaries, and understood the inherently functional character of living and intelligent systems.” As Agüera y Arcas puts it, “Functions define relationships, rather than insisting on particular mechanisms. A function is what it does. Two functions are equivalent if their outputs are indistinguishable, given the same inputs. Complex functions can be composed of simpler functions.” He argues that functionalism is “not ‘reductive.’” Rather, “It embraces complexity and emergent phenomena. It doesn’t treat people like ‘black boxes,’ nor does it deny our internal representations of the world or our felt experiences. But it stipulates that we can understand those experiences in terms of functional relationships within the brain and body—we don’t need to invoke a soul, spirit, or any other supernatural agency. Computational neuroscience and AI, fields Turing and von Neumann pioneered, are both predicated on this functional approach” (Agüera y Arcas, 2025).
Consciousness as Prediction
Agüera y Arcas posits that consciousness is a manifestation of an organism's ability to model, predict, and influence its future. This predictive capacity is not a nonphysical or supernatural phenomenon but an inherent feature of evolved computational agents. In this view, sensory input isn't a direct experience but rather an “error-correction signal” that constantly refines the brain's internal model of reality. In this context, he defines intelligence as “the ability to model, predict, and influence one's future” and says that this predictive capacity is the basis of conscious experience. His example is vision. “Vision is not the raw stream of sensory input from our eyes. Rather, that input stream acts like an error-correction signal. Vision—what we actually see—is a reconstruction of the world around us, an actively maintained and constrained hallucination” (Agüera y Arcas, 2025).
Sensory data, in this view, is not the primary experience itself but rather an error-correction signal that keeps the internal model aligned with reality. Thus, Agüera y Arcas argues that consciousness is an actively maintained and constrained hallucination, a continuously updated model of the world that the brain creates based on sensory input (or, alternatively, recalled by memory, replayed or remixed during dreaming, or constructed in imagination). Moreover, because “Modeling and prediction are computational too [...] they can only take place on a computational platform; thus intelligence needs life. Likewise, life needs intelligence, because the ability to persist through time depends on predicting and influencing the future—in particular, on ensuring that the entity doing the predicting will continue to exist in the future. Hence all living organisms are, to one degree or another, intelligent. Every one of them is smart enough to have persisted through time in a complex, ever-changing environment” (Agüera y Arcas, 2025). A corollary is that consciousness, in some limited or fuzzy forms, goes deeper down the phylogenetic scale than is generally assumed.
Theory of Mind
Agüera y Arcas says that “theory of mind” is the heart of his main argument. Theory of mind is the ability to model the minds of others—to appreciate that others have their own distinct mental states, including beliefs, desires, and intentions; and to infer what others think, feel, or intend to do. Thus, theory of mind is what enables social interaction, communication, and prediction of behavior. Agüera y Arcas contends that theory of mind has or generates multiple effects: it powers the “intelligence explosions” that have produced Homo sapiens and other big-brain species; enables counterfactual “what-ifs”; motivates, and is enhanced by, the development of language; underwrites a kind of free will (compatibilist); operates both in social networks and within individual brains; among others. In short, according to Agüera y Arcas, theory of mind “is the origin and mechanism of consciousness.” He says, “In a sense, theory of mind is mind” (Agüera y Arcas, 2025).
Social Origin of Consciousness: Agüera y Arcas proposes that the uniquely human form of consciousness emerged from a social ‘arms race.’ As multiplayer life became complex, the main work of a mind became modeling other minds. This led to the mutual modeling arms race, resulting in this kind of “intelligence explosion,” which was recursively driven by the evolutionary pressure to develop a sophisticated theory of mind. As social animals became better at predicting the beliefs, intentions, and behaviors of their peers, they also applied this modeling to themselves, leading to self-reflection and the experience of a unified “self.” This relational process, rather than a solitary, internal one, is what Agüera y Arcas argues constitutes consciousness (Agüera y Arcas, 2025).
Agüera y Arcas integrates Douglas Hofstadter’s concept of the “strange loop,” which describes the self-referential nature of consciousness, where the act of modeling others who are, in turn, modeling you back, creates a recursive hierarchy of thought. This self-modeling is what gives rise to the sense, but not the reality, of a coherent and unified conscious “I.” Similarly, he engages Michael Graziano’s “Attention Schema Theory,” where consciousness is an illusion arising from this modeling of one’s own attention, though Agüera y Arcas himself would not call consciousness an “illusion.”
Free Will and Language
Consciousness and Free Will are Real: Agüera y Arcas holds that while no new fundamental physics are required to account for consciousness and free will, these concepts are nonetheless real, not illusory. This is because everything we consider “real” in our everyday experience—from thermodynamic concepts like pressure and temperature, to subjective states like “pain” or “hunger,” to object categories like “table” and “chair”—is a coarse-grained model, where many microscopic details are filtered or averaged out to enable generalization and prediction. Hence, “reality,” as commonly understood (i.e., to include such things as tables, chairs, and people), is a computational level of description that is necessarily more coarse-grained than fundamental physics. Hidden variables and indeterminacy are therefore always present at the level of the “real,” even in a fully deterministic universe. Furthermore, when a computationally sophisticated agent constructs a model of the world including itself and other (also sophisticated) agents, valence (pain or pleasure), free will, subjectivity, recursive theory-of-mind, and consciousness emerge naturally in the coarse-graining, just as temperature emerges naturally in the coarse-graining of thermodynamics. Thus, free will and consciousness are as real as temperature is.
Language Energizes Consciousness: Agüera y Arcas sees language as a powerful vehicle for this social theory-of-mind computation. It enables the sharing of otherwise hidden mental states and facilitates the development of higher-order theory of mind. The brain's language-generating centers function as an “interpreter” that weaves a continuous narrative of one's experiences and actions, bolstering the senses of a unified and stable self. Language also augments long-range planning, reasoning, and the ability to choose among alternative futures—hence aiding in the exercise of free will.
Eschewing all Dualisms
Naturally, Agüera y Arcas rejects the idea of a single, localized “seat of the soul” or “homunculus” in the brain. He references split-brain patients, who appear to have two independent minds, to argue that the evolution of the brain brought about “larger, collective intelligences” that model each other (note “Minsky’s Society of Mind”). The sense of a unified self is a constructed narrative, or an “interpreter” function, rather than a single, central command center. Agüera y Arcas also argues that the “hard problem” of consciousness is a philosophical illusion stemming from a relentlessly individualistic perspective and an archaic, dualistic distinction between mind and matter; thus, it is a philosophical dead end. Instead of viewing consciousness as a singular, nonphysical phenomenon, he sees it as a relational, computational process that is a fundamental property of life and intelligence (Agüera y Arcas, 2025).