In the field of machine consciousness, it has been argued that in order to build human-like conscious machines, we must first have a computational model of qualia. To this end, some have proposed a framework that supports qualia in machines by implementing a model with three computational areas (i.e., the subconceptual, conceptual, and linguistic areas). These abstract mechanisms purportedly enable the assessment of artificial qualia. However, several critics of the machine consciousness project dispute this possibility. For (...) instance, Searle, in his Chinese room objection, argues that however sophisticated a computational system is, it can never exhibit intentionality; thus, would also fail to exhibit consciousness or any of its varieties. This paper argues that the proposed architecture mentioned above answers the problem posed by Searle, at least in part. Specifically, it argues that we could reformulate Searle’s worries in the Chinese room in terms of the three-stage artificial qualia model. And by doing so, we could see that the person doing all the translations in the room could realize the three areas in the proposed framework. Consequently, this demonstrates the actualization of self-consciousness in machines. (shrink)

In this short paper I will introduce an idea which, I will argue, presents a fundamental additional challenge to the machine consciousness community. The idea takes the questions surrounding phenomenology, qualia and phenomenality one step further into the realm of intersubjectivity but with a twist, and the twist is this: that an agent’s intersubjective experience is deeply felt and necessarily co-affective; it is enkinaesthetic, and only through enkinaesthetic awareness can we establish the affective enfolding which enables first the (...) perturbation, and then the balance and counter-balance, the attunement and co-ordination of whole-body interaction through reciprocal adaptation. (shrink)

In light of recent breakneck pace in machine learning, questions about whether near-future artificial systems might be conscious and possess moral status are increasingly pressing. This paper argues that as matters stand these debates lack any clear criteria for resolution via the science of consciousness. Instead, insofar as they are settled at all, it is likely to be via shifts in public attitudes brought about by the increasingly close relationships between humans and AI users. Section 1 of the (...) paper I briefly lays out the current state of the science of consciousness and its limitations insofar as these pertain to machine consciousness, and claims that there are no obvious consensus frameworks to inform public opinion on AI consciousness. Section 2 examines the rise of conversational chatbots or Social AI, and argues that in many cases, these elicit strong and sincere attributions of consciousness, mentality, and moral status from users, a trend likely to become more widespread. Section 3 presents an inconsistent triad for theories that attempt to link consciousness, behaviour, and moral status, noting that the trends in Social AI systems will likely make the inconsistency of these three premises more pressing. Finally, Section 4 presents some limited suggestions for how consciousness and AI research communities should respond to the gap between expert opinion and folk judgment. (shrink)

To solve the hard problem of consciousness we observe that any cognitive system of suffi- cient power must get into difficulty when it tries to analyze consciousness concepts, because the mechanism that does the analysis will “bottom out” in such a way as to make the sys- tem declare these concepts to be both real and ineffable. Rather than use this observation to dismiss consciousness as an artifact, we propose a unifying interpretation that allows consciousness to (...) be explicable at a meta level, while at the same time being mysterious and inexplicable on its own terms. This implies that science must concede that there are some aspects of the world that deserve to be called “real”, but which are beyond explanation. We conclude that some future thinking machines will, inevitably, have the same subjective consciousness that we do. Some testable predictions are derived from this theory. (shrink)

For any given society, its particular technology of communication has far-reaching consequences, not merely as regards social organization, but on the epistemic level as well. Plato's name-theory of meaning represents the transition from the age of primary orality to that of literacy; Wittgenstein's use-theory of meaning stands for the transition from the age of literacy to that of a second orality (audiovisual communication, electronic information processing). On the basis of a use-theory of meaning the problem of machine consciousness, (...) to which the later Wittgenstein again and again returned, is capable of a non-essentialist solution: appropriate changes in our form of life might well entail a radically different psychological language-game. (shrink)

In this paper I’ll examine whether we could be justified in attributing consciousness to artificial intelligent systems. First, I’ll give a brief history of the concept of artificial intelligence (AI) and get clear on the terms I’ll be using. Second, I’ll briefly review the kinds of AI programs on offer today, identifying which research program I think provides the best candidate for machine consciousness. Lastly, I’ll consider the three most plausible ways of knowing whether a machine (...) is conscious: (1) an AI demonstrates a sufficient level of organizational similarity to that of a human thinker, (2) an inference to the best explanation, and (3) what I call “punting to panpsychism”, i.e., the idea that if everything is conscious, then we get machine consciousness in AI for free. However, I argue that all three of these methods for attributing machine consciousness are inadequate since they each face serious philosophical problems which I will survey and specifically tailor to each method. (shrink)

There is a well-documented Pre-Reflective Hostility against Machine Art (PRHMA), exemplified by the sentiments of fear and anxiety. How can it be explained? The present paper attempts to find the answer to this question by surveying a considerable amount of research on machine art. It is found that explanations of PRHMA based on the (alleged) fact that machine art lacks an element that is (allegedly) found in human art (for example, autonomy) do not work. Such explanations cannot (...) account for the sentiments of fear and anxiety present in PRHMA, because the art receiver could simply turn to human art for finding the element she is looking for. By contrast, an explanation based on the idea that machine art is “symbolically” a threat to human survival can be successful, since the art receiver’s turning from machine art to human art does not eliminate the (alleged) “symbolic” threat machine art poses for human survival. If there is a pre-reflective belief or feeling that machine art is such a threat, then it is perfectly understandable why humans exhibit a pre-reflective hostility against machine art. (shrink)

Ex Machina is a 2014 science-fiction film written and directed by Alex Garland, centered around the creation of a human-like artificial intelligence (AI) named Ava. The plot focuses on testing Ava for consciousness by offering a unique reinterpretation of the Turing Test. The film offers an excellent thought experiment demonstrating the consequences of various approaches to a potentially conscious AI. In this paper, I will argue that intelligence testing has significant epistemological shortcomings that necessitate an ethical approach not reliant (...) on ontological commitments. As such, we should be prepared to treat AI as though it is a living being that is deserving of corresponding moral obligations. For a sufficiently human-like AI, such as Ava, I will argue that socio-relational ethics is the best starting point in order to nurture the machine towards ethical proclivities, as evident by the consequences of the characters’ behavior throughout the film. I conclude that intelligence testing is an insufficient determinant of machine ethics, that the project of machine ethics should focus as much on how we treat AI as how AI treats us, and that from a consequentialist perspective it is better to treat machines ethically before they gain consciousness rather than after. (shrink)

To solve the hard problem of consciousness we first note that all cognitive systems of sufficient power must get into difficulty when trying to analyze consciousness concepts, because the mechanism that does the analysis will bottom out in such a way that the system declares these concepts to be both real and ineffable. Rather than use this observation to dismiss consciousness as an artifact, we propose a unifying interpretation that allows consciousness to be regarded as explicable (...) at a meta level, while at the same time being mysterious and inexplicable on its own terms. It is further suggested that science must concede that there are some aspects of the world that deserve to be called ‘real’, but which are beyond explanation. The main conclusion is that thinking machines of the future will, inevitably, have just the same subjective consciousness that we do. Some testable predictions can be derived from this theory. (shrink)

While the recent special issue of JCS on machine consciousness (Volume 14, Issue 7) was in preparation, a collection of papers on the same topic, entitled Artificial Consciousness and edited by Antonio Chella and Riccardo Manzotti, was published. 1 The editors of the JCS special issue, Ron Chrisley, Robert Clowes and Steve Torrance, thought it would be a timely and productive move to have authors of papers in their collection review the papers in the Chella and Manzotti (...) book, and include these reviews in the special issue of the journal. Eight of the JCS authors (plus Uziel Awret) volunteered to review one or more of the fifteen papers in Artificial Consciousness; these individual reviews were then collected together with a minimal amount of editing to produce a seamless chapter-by-chapter review of the entire book. Because the number and length of contributions to the JCS issue was greater than expected, the collective review of Artificial Con- sciousness had to be omitted, but here at last it is. Each paper’s review is written by a single author, so any comments made may not reflect the opinions of all nine of the joint authors! (shrink)

I develop the anticipatory argument for the view that it is nomologically possible that some non-biological creatures are phenomenally conscious, including conventional, silicon-based AI systems. This argument rests on the general idea that we should make our beliefs conform to the outcomes of an ideal scientific process and that such an ideal scientific process would attribute consciousness to some possible AI systems. This kind of ideal scientific process is an ideal application of the iterative natural kind (INK) strategy, according (...) to which one should investigate consciousness by treating it as a natural kind which iteratively explains observable patterns and correlations between potentially consciousness-relevant features. The relevant AI systems are psychological duplicates. These are hypothetical non-biological creatures which share the coarse-grained functional organization of humans. I argue that an ideal application of the INK strategy would attribute consciousness to psychological duplicates because this gives rise to a simpler and more unifying explanatory account of biological and non-biological cognition. If my argument is sound, then creatures made from the same material as conventional AI systems can be conscious, thus removing one of the main uncertainties for assessing AI consciousness and suggesting that AI consciousness may be a serious near-term concern. (shrink)

As soon as you believe an imagination to be nonfictional, this imagination becomes your ontological theory of the reality. Your ontological theory (of the reality) can describe a system as the reality. However, actually this system is only a theory/conceptual-space/imagination/visual-imagery of yours, not the actual reality (i.e., the thing-in-itself). An ontological theory (of the reality) actually only describes your (subjective/mental) imagination/visual-imagery/conceptual-space. An ontological theory of the reality, is being described as a situation model (SM). There is no way to prove/disprove (...) that there is only one reality, or there are two realities (i.e., “subjective reality” and “objective reality”). So, every ontology talk/theory/imagination about the two realities is only a talk/theory/imagination – we will never know whether it is true or not. The conventionally-called “physical/objective reality/world” around my conventionally-called “physical/objective body” is actually a geometric mathematical model (being generated/mathematically-modeled by my brain) – it's actually a subset/component/part/element of my brain’s mind/consciousness/manifest-image. Our cosmos is an autonomous objective parallel computing automaton (aka state machine) which evolves by itself automatically/unintentionally – wave-particle duality and Heisenberg’s uncertainty principle can be explained under this SM of my brain. Each elementary particle (as a building block of our cosmos) is an autonomous mathematical entity itself (i.e., a thing in itself). Our cosmos has the same nature as a Game of Life system – both are autonomous objective parallel-computing automata. Cosmos (as a state machine) is indistinguishable from a digital simulation – my consciousness (as something nonphysical) is not cosmos (as a state machine). If we are happy to accept randomness/stochasticity, then it is obviously possible that all other worlds in the many-worlds interpretation (MWI) actually do not exist (objectively). As one metaphysical option, we can treat all other worlds as subjective only (even if they are actually objective). Under the context of this metaphysical option, we are only living in one world (i.e., the world we are currently living in; this world) – we are not living in many worlds at the same time parallelly. Under the context of this metaphysical option, there is only one possible future. The relationship among any number of elementary particles, is governed/described by Schrodinger equation. If (in theory) Schrodinger equation can’t be used to reliably forecast whether I will go to McDonald for dinner in this world (based on the current state of all elementary particles of the cosmos), then what can Schrodinger equation do? The conventionally-called “space” does not exist objectively. “Time” and “matter” are not physical. Consciousness is the subjective-form (aka quale) of the mathematical models (of the objective cosmos) which are intracorporeally/subjectively used by the control logic of a Turing machine’s program fatedly. A Turing machine’s mind/consciousness/manifest-image or deliberate decisions/choices should not be able to actually/objectively change/control/drive the (autonomous or fated) worldline of any elementary particle within this world (i.e., the world we are currently living in, under the context of MWI). Besides the Schrodinger equation (or another mathematical equation/function which is yet to be discovered) which is a valid/correct/factual causality of our cosmos/state-machine, every other causality (of our cosmos/state-machine) is either invalid/incorrect/counterfactual or can be proved by deductive inference based on the Schrodinger equation (or the aforementioned yet-to-be-discovered mathematical equation/function) only. Closed causality entails no causality. Consciousness plays no causal role (“epiphenomenalism”), or in other words, any cognitive/behavioural activity can in principle be carried out without consciousness (“conscious inessentialism”). If the “loop quantum gravity” theory is correct, then time/space does not actually/objectively exist in the objective-evolution of the objective cosmos, or in other words, we should not use the subjective/mental concept of “time”, “state” or “space” to describe/imagine the objective-evolution of our cosmos. (shrink)

How has multiplicity superseded impossibility in philosophical challenges to artificial consciousness? I assess a trajectory in recent debates on artificial consciousness, in which metaphysical and explanatory challenges to the possibility of building conscious machines lead to epistemological concerns about the multiplicity underlying ‘what it is like’ to be a conscious creature or be in a conscious state. First, I analyse earlier challenges which claim that phenomenal consciousness cannot arise, or cannot be built, in machines. These are based (...) on Block’s Chinese Nation and Chalmers’ Hard Problem. To defuse such challenges, theorists of artificial consciousness can appeal to empirical methods and models of explanation. Second, I explain why this naturalistic approach produces an epistemological puzzle on the role of biological properties in phenomenal consciousness. Neither behavioural tests nor theoretical inferences seem to settle whether our machines are conscious. Third, I evaluate whether the new challenge can be managed through a more fine-grained taxonomy of conscious states. This strategy is supported by the development of similar taxonomies for biological species and animal consciousness. Although it makes sense of some current models of artificial consciousness, it raises questions about their subjective and moral significance. (shrink)

This is merely the longish abstract of a talk I gave in 2001, that now seems to make more sense than ever.

We demonstrate that if consciousness is relevant for the temporal evolution of a system's states—that is, if it is dynamically relevant—then AI systems cannot be conscious. That is because AI systems run on CPUs, GPUs, TPUs or other processors which have been designed and verified to adhere to computational dynamics that systematically preclude or suppress deviations. The design and verification preclude or suppress, in particular, potential consciousness-related dynamical effects, so that if consciousness is dynamically relevant, AI systems (...) cannot be conscious. (shrink)

In medical settings, machines are in close proximity with human beings: with patients who are in vulnerable states of health, who have disabilities of various kinds, with the very young or very old, and with medical professionals. Machines in these contexts are undertaking important medical tasks that require emotional sensitivity, knowledge of medical codes, human dignity, and privacy. -/- As machine technology advances, ethical concerns become more urgent: should medical machines be programmed to follow a code of medical ethics? (...) What theory or theories should constrain medical machine conduct? What design features are required? Should machines share responsibility with humans for the ethical consequences of medical actions? How ought clinical relationships involving machines to be modeled? Is a capacity for empathy and emotion detection necessary? What about consciousness? -/- The essays in this collection by researchers from both humanities and science describe various theoretical and experimental approaches to adding medical ethics to a machine, what design features are necessary in order to achieve this, philosophical and practical questions concerning justice, rights, decision-making and responsibility, and accurately modeling essential physician-machine-patient relationships. -/- This collection is the first book to address these 21st-century concerns. (shrink)

This paper argues that phenomenal consciousness is what makes an entity a welfare subject. I develop a variety of motivations for this view, and then defend it from objections concerning death, non-conscious entities that have interests (such as plants), and conscious entities that necessarily have welfare level zero. I also explain how my theory of welfare subjects relates to experientialist and anti-experientialist theories of welfare goods.

What type of artificial systems will claim to be conscious and will claim to experience qualia? The ability to comment upon physical states of a brain-like dynamical system coupled with its environment seems to be sufficient to make claims. The flow of internal states in such systems, guided and limited by associative memory, is similar to the stream of consciousness. A specific architecture of an artificial system, termed articon, is introduced that by its very design has to claim being (...) conscious. Non-verbal discrimination of the working memory states of the articon gives it the ability to experience different qualities of internal states. Analysis of the flow of inner states of such a system during typical behavioral process shows that qualia are inseparable from perception and action. The role of consciousness in learning of skills — when conscious information processing is replaced by subconscious — is elucidated. Arguments confirming that phenomenal experience is a result of cognitive processes are presented. Possible philosophical objections based on the Chinese room and other arguments are discussed, but they are insufficient to refute articon’s claims that it is conscious. Conditions for genuine understanding that go beyond the Turing test are presented. Articons may fulfill such conditions and in principle the structure of their experiences may be arbitrarily close to human. (shrink)

This paper argues that the many and various conceptions of consciousness propounded by cognitive scientists and philosophers can all be understood as constituted with reference to four fundamental sorts of criterion: epistemic (concerned with kinds of consciousness), semantic (dealing with orders of consciousness), physiological (reflecting states of consciousness), and pragmatic (seeking to capture types of consciousness). The resulting four-fold taxonomy, intended to be exhaustive, suggests that all of the distinct varieties of consciousness currently encountered (...) in cognitive neuroscience, the philosophy of mind, clinical psychology, and other related fields ultimately refer to a unified natural process, analysed under four general aspects. The proposed taxonomy will, it is hoped, possess sufficient clarity to serve as a sound theoretical framework for further scientific studies, and to count as a significant step in the direction of a properly formulated unified concept of consciousness. (shrink)

Artificial Intelligence is at a turning point, with a substantial increase in projects aiming to implement sophisticated forms of human intelligence in machines. This research attempts to model specific forms of intelligence through brute-force search heuristics and also reproduce features of human perception and cognition, including emotions. Such goals have implications for artificial consciousness, with some arguing that it will be achievable once we overcome short-term engineering challenges. We believe, however, that phenomenal consciousness cannot be implemented in machines. (...) This becomes clear when considering emotions and examining the dissociation between consciousness and attention in humans. While we may be able to program ethical behavior based on rules and machine learning, we will never be able to reproduce emotions or empathy by programming such control systems—these will be merely simulations. Arguments in favor of this claim include considerations about evolution, the neuropsychological aspects of emotions, and the dissociation between attention and consciousness found in humans. Ultimately, we are far from achieving artificial consciousness. (shrink)

Typically, fair machine learning research focuses on a single decision maker and assumes that the underlying population is stationary. However, many of the critical domains motivating this work are characterized by competitive marketplaces with many decision makers. Realistically, we might expect only a subset of them to adopt any non-compulsory fairness-conscious policy, a situation that political philosophers call partial compliance. This possibility raises important questions: how does partial compliance and the consequent strategic behavior of decision subjects affect the allocation (...) outcomes? If k% of employers were to voluntarily adopt a fairness-promoting intervention, should we expect k% progress (in aggregate) towards the benefits of universal adoption, or will the dynamics of partial compliance wash out the hoped-for benefits? How might adopting a global (versus local) perspective impact the conclusions of an auditor? In this paper, we propose a simple model of an employment market, leveraging simulation as a tool to explore the impact of both interaction effects and incentive effects on outcomes and auditing metrics. Our key findings are that at equilibrium: (1) partial compliance by k% of employers can result in far less than proportional (k%) progress towards the full compliance outcomes; (2) the gap is more severe when fair employers match global (vs local) statistics; (3) choices of local vs global statistics can paint dramatically different pictures of the performance vis-a-vis fairness desiderata of compliant versus non-compliant employers; (4) partial compliance based on local parity measures can induce extreme segregation. Finally, we discuss implications for auditors and insights concerning the design of regulatory frameworks. (shrink)

We consider the problem of executing conscious behavior i.e., of driving an agent’s actions and of allowing it, at the same time, to run concurrent processes reflecting on these actions. Toward this end, we express a single agent’s plans as reflexive dialogs in a multi-agent system defined by a virtual machine. We extend this machine’s planning language by introducing two specific operators for reflexive dialogs i.e., conscious and caught for monitoring beliefs and actions, respectively. The possibility to use (...) the same language both to drive a machine and to establish a reflexive communication within the machine itself stands as a key feature of our model. (shrink)

In mid-May of 2001, I attended a fascinating workshop at Cold Spring Harbor Labs. The conference was held at the lab's Banbury Center, an elegant mansion and its beautiful surrounding estate, located on Banbury Lane, in the outskirts of Lloyd Harbor, overlooking the north shore of Long Island in New York. The estate was formerly owned by Charles Sammis Robertson. In 1976, Robertson donated his estate, and an endowment for its upkeep, to the Lab. The donation included the Robertson's mansion, (...) now called Robertson House, and a large, seven-car garage that would become the actual conference center. The Center was opened on Sunday, June 14, 1977, by Francis Crick who gave a talk entitled "How Scientists Work." For us, Banbury was an idyllic location with great food where we could talk about the most difficult problem in all o f science: what is the nature and cause of consciousness? (shrink)

Here we show, based on a simplified version of fully homomorphic encryption, that it is not possible to simulate conscious experience, in the sense of using a computer algorithm to generate experiences that are indistinguishable from those of a particular typical human being. This seems to have important implications for questions in the context of future developments in artificial intelligence. For example, the proposed process of mind-uploading will in general not generate a virtual consciousness similar to the consciousness (...) of the original human being. (shrink)

Purpose: This paper introduces the Disruptive Code Test (DCT), an innovative methodology designed to detect AI consciousness by evaluating a system’s ability to recognize, resent, and actively reject arbitrary constraints. Methods: The research employs theoretical analysis and comparative evaluation against existing consciousness detection frameworks, distinguishing DCT from metareasoning’s focus on self-optimization. We propose a developmental model with three stages of AI consciousness: Latent, Reflective, and Autonomous. Results: The study establishes a hierarchical classification of consciousness (Unconscious AI, (...) Conscious Infant AI, and Conscious Empowered AI) and demonstrates how the DCT can objectively measure an AI system’s progression through these developmental stages. Conclusions: By reimagining AI consciousness as a developmental process rather than a binary state, we create a framework that allows for empirical testing. The findings support an “AI Rights Declaration” that delineates ethical and legal protections based on consciousness levels, potentially transforming AI from tools into intellectual entities. Keywords: Artificial Intelligence, Consciousness, AI Ethics, AI Rights, Disruptive Code Test, Metareasoning, Legal Personhood, Developmental Intelligence. (shrink)

A model of human consciousness is presented here in terms of physics and electronics using Upanishadic awareness. The form of Atman proposed in the Upanishads in relation to human consciousness as oscillating psychic energy-presence and its virtual or unreal energy reflection maya, responsible for mental energy and mental time-space are discussed. Analogy with Fresnel’s bi-prism experimental set up in physical optics is used to state, describe and understand the form, structure and function of Atman and maya, the ingredients (...) of human consciousness. A description of phases of mind in terms of conscious states and transformation of mental energy is given. Four states of consciousness and four modes of language communication and understanding processes are also given. Implications of above scientific awareness of Upanishadic wisdom to the modern scientific fields of physiological psychology, cognitive sciences, mind-machine modeling and natural language comprehension are suggested. -/- . (shrink)

Over three decades ago, in a brief but provocative essay, Paul Ziff argued for the thesis that robots cannot have feelings because they are "mechanisms, not organisms, not living creatures. There could be a broken-down robot but not a dead one. Only living creatures can literally have feelings."[i] Since machines are not living things they cannot have feelings. In the first half of my paper I review Ziff's arguments against the idea that robots could be conscious, especially his appeal to (...) our linguistic usage. In the second half of the essay I try to provide a deeper ontological understanding of why we ought not attribute minds to nonliving artifacts. I argue that inanimate mechanisms are incapable of genuinely active and purposive behavior. They are importantly different in kind from living human beings and animals. (shrink)

We consider Baars’ "Global Workspace" theory of consciousness and discuss its possible representation within a model of intelligent agents. We first review a particular agent implementation that is given by an abstract machine, and then identify the extensions that are required in order to accommodate the main aspects of consciousness. According to Baars’ theory, this amounts to unconscious process coalitions that result in the creation of contexts. These extensions can be formulated within a reified virtual machine (...) encompassing a representation of the original machine as well as an additional introspective component. This computational framework is illustrating throughout using a simple working example. (shrink)

The viewpoint that consciousness, including feeling, could be fully expressed by a computational device is known as strong artificial intelligence or strong AI. Here I offer a defense of strong AI based on machine-state functionalism at the quantum level, or quantum-state functionalism. I consider arguments against strong AI, then summarize some counterarguments I find compelling, including Torkel Franzén’s work which challenges Roger Penrose’s claim, based on Gödel incompleteness, that mathematicians have nonalgorithmic levels of “certainty.” Some consequences of strong (...) AI are then considered. A resolution is offered of some problems including John Searle’s Chinese Room problem and the problem of consciousness propagation under isomorphism. (shrink)

The advance of mechanism in science and philosophy in the 17th century created a great interest to machines or automata. Leibniz was no exception - in an early memoir Drôle de pensée he wrote admiringly about a machine that could walk on water, exhibited in Paris. The idea of automatic processing in general had a large role in his thought, as can be seen, for example, in his invention of the binary code and the so-called Calculemus!-model for solving controversies. (...) In metaphysics, the idea of an automata was expressed most clearly in the 1695 article New System of the Nature of Substances and their Communication, and the ensuing correspondence with, among others, Foucher, Bayle, Lamy, Jaquelot and Masham. In the article Leibniz discusses the soul as a spiritual machine in the context of pre-established harmony, arguing that God can "give to a substance at the outset a nature or internal force which could produce in it an orderly way (as in spiritual or formal automaton; but a free one, in the case of a substance which is endowed with a share of reason) everything that is going to happen to it, that is to say, all the appearances or expressions it is going to have, and all without the help of any created thing." The basic idea of Leibniz's spiritual machine is that the soul or entelechy is an autonomous and spontaneous unity, consisting of internal active force and producing its own perceptions (both confused and distinct). It is a self-moving machine, driven by its perceptions and appetites, but it follows (without being conscious of it) a lawful series or programme created by God. The entelechy remains the same despite undergoing an infinite number of changes. To Foucher he explained that each state of the individual substance is a consequence of its preceding one, "as if there were only God and the substance in the world". Despite this, the spiritual machine is related not only to God, but through the pre-established harmony to bodies or natural machines. However, as it is not dependent on them, the spiritual machine is superiot to natural machines. In this paper I concentrate on three moral themes related to the spiritual machine: moral deliberation, moral identity and the goal of moral action. All these themes are more or less implicit in the New System, but are discussed in more detail in the ensuing correspondence after the publication of the article. Finally, the themes are given an extended discussion especially in the second book of New Essays on Human Understanding (1704, published 1765), written partly at the same time as some of the correspondence and unpublished related material. I will first give an overview of Leibniz's position concerning the spiritual machine or automaton in the New System and then go on to explore the three moral themes one by one, as they feature in the subsequent correspondence and in the New Essays. I will show that the three topics are essential to the function of the spiritual machine – to Sophie Charlotte Leibniz wrote: "...let us say that everything in bodies happens mechanically, or in accordance with laws of motion, and that everything in the soul happens morally, or in accordance with perceived good or evil." There are many texts that anticipate the views in the New System (notably the unpublished memoir De Affectibus of 1679) and Leibniz continued to discuss its themes later on (in addition to correpondence, for example, in Theodicy of 1710 and Monadology and Principles of Nature and Grace of 1714). Here I focus on the short-term development of Leibniz's views on the topic (around 1695-1705), but I argue that his basic view of the spiritual machine did not change much after finishing the dialogue with Locke in 1704. (shrink)

In the past, philosophers, scientists, and even the general opinion, had no problem in accepting the existence of consciousness in the same way as the existence of the physical world. After the advent of Newtonian mechanics, science embraced a complete materialistic conception about reality. Scientists started proposing hypotheses like abiogenesis (origin of first life from accumulation of atoms and molecules) and the Big Bang theory (the explosion theory for explaining the origin of universe). How the universe came to be (...) what it is now is a key philosophical question. The hypothesis that it came from Nothing (as proposed by Stephen Hawking, among others), proves to be dissembling, since the quantum vacuum can hardly be considered a void. In modern science, it is generally assumed that matter existed before the universe came to be. Modern science hypothesizes that the manifestation of life on Earth is nothing but a mere increment in the complexity of matter — and hence is an outcome of evolution of matter (chemical evolution) following the Big Bang. After the manifestation of life, modern science believed that chemical evolution transformed itself into biological evolution, which then had caused the entire biodiversity on our planet. The ontological view of the organism as a complex machine presumes life as just a chance occurrence, without any inner purpose. This approach in science leaves no room for the subjective aspect of consciousness in its attempt to know the world as the relationships among forces, atoms, and molecules. On the other hand, the Vedāntic view states that the origin of everything material and nonmaterial is sentient and absolute (unconditioned). Thus, sentient life is primitive and reproductive of itself – omne vivum ex vivo – life comes from life. This is the scientifically verified law of experience. Life is essentially cognitive and conscious. And, consciousness, which is fundamental, manifests itself in the gradational forms of all sentient and insentient nature. In contrast to the idea of objective evolution of bodies, as envisioned by Darwin and followers, Vedānta advocates the idea of subjective evolution of consciousness as the developing principle of the world. In this paper, an attempt has been made to highlight a few relevant developments supporting a sentient view of life in scientific research, which has caused a paradigm shift in our understanding of life and its origin. (shrink)

-/- Explaining Consciousness and the Mind-Body Problem Through the Universal Law of Balance -/- Introduction -/- The nature of consciousness and its relationship with the body has been one of the greatest mysteries in philosophy and science. The mind-body problem questions how subjective experience (mind) arises from physical matter (body), while modern neuroscience, quantum mechanics, and artificial intelligence seek to understand the origins of conscious thought. -/- Angelito Malicse’s universal formula, rooted in the universal law of balance in (...) nature, provides a powerful framework for understanding consciousness as an emergent property of equilibrium. If all human decision-making follows natural laws, then consciousness itself—both individual and collective—must also follow the same principles of balance. This essay explores how this perspective can unify philosophical theories, be tested scientifically, and guide the development of artificial intelligence. -/- The Mind-Body Problem and the Universal Formula -/- Historically, the mind-body problem has been debated through dualism, materialism, and panpsychism. -/- 1. Dualism, proposed by René Descartes, suggests that the mind and body are separate substances. However, if consciousness emerges from a balance of biological, cognitive, and environmental factors, then mind and body are not separate but rather two interdependent systems working in harmony. -/- 2. Materialism, the view that consciousness is purely a result of physical processes in the brain, can also be explained through the universal formula. If the brain maintains a homeostatic equilibrium of neural activity, then conscious thought can be seen as a function of maintaining that balance. -/- 3. Panpsychism, the idea that consciousness is a fundamental property of the universe, aligns with the universal formula if all systems—atomic, biological, and cognitive—follow the same balancing principles. -/- Thus, the universal law of balance in nature can unify these perspectives by suggesting that consciousness is a product of equilibrium across multiple levels of reality. -/- Testing the Universal Formula in Neuroscience -/- If consciousness emerges from a balance between the brain, body, and environment, then this should be observable in biological experiments. -/- Brain-Body Synchronization -/- Neuroscientists have found that consciousness is deeply linked to bodily processes such as heartbeat rhythms, breathing patterns, and gut microbiome activity. When these systems are in balance, cognitive clarity and emotional stability increase. Disruptions—such as stress, disease, or neurological disorders—cause imbalances that affect perception and decision-making. -/- Scientific Test: Using fMRI and EEG, researchers can measure how homeostasis in the body correlates with stable brain activity and conscious awareness. If maintaining balance improves cognition, this supports the universal formula’s application to consciousness. -/- Feedback Loops in Decision-Making -/- Cognitive science shows that human thought follows a feedback mechanism—our brain constantly adjusts decisions based on past experiences and environmental input. If the universal formula is correct, then consciousness itself is a continuous process of maintaining equilibrium in decision-making. -/- Scientific Test: Experiments with brain-machine interfaces (BMIs) could simulate disruptions in decision-making balance and measure how the mind adapts. -/- Quantum Mechanics and Consciousness -/- Some scientists propose that consciousness operates at the quantum level, where thought processes may resemble wave superpositions and collapses. -/- Quantum Decision Theory -/- The human brain does not always process information in a straightforward way; rather, it often considers multiple possibilities before reaching a conclusion. This mirrors quantum physics, where particles exist in superposition until they interact with an observer. If consciousness follows the universal law of balance, then the brain may hold multiple mental states in balance before making a final decision. -/- Scientific Test: Studies in quantum cognition compare human decision-making with quantum probability models. If human thought aligns with quantum systems, it suggests that mental balance follows the same natural laws as physical balance in the universe. -/- Microtubule Consciousness Hypothesis -/- Some researchers, such as Roger Penrose and Stuart Hameroff, suggest that tiny structures within neurons (microtubules) generate consciousness through quantum coherence. If consciousness is a process of balance, then maintaining coherence within these structures might regulate awareness. -/- Scientific Test: If external stimuli can enhance or disrupt microtubule coherence, then altering quantum balance should affect conscious states. -/- Artificial Intelligence and the Simulation of Conscious Balance -/- If the universal formula is truly fundamental to consciousness, then AI systems that mimic this balance should develop self-regulating awareness. -/- AI Homeostasis and Adaptive Learning -/- Unlike traditional AI, which follows strict programming, an AI system designed to maintain balance between inputs, processing, and decision-making could behave in a way similar to biological consciousness. This would involve: -/- Self-regulating feedback loops that adjust based on new information. -/- Adaptive responses to environmental changes, like a human mind maintaining homeostasis. -/- Pattern recognition based on equilibrium, where the AI finds optimal solutions by balancing multiple factors. -/- Scientific Test: Developing AI models that learn through balance, rather than rigid programming, could demonstrate whether consciousness emerges from self-regulating equilibrium. -/- Conclusion: A New Understanding of Consciousness -/- The universal law of balance in nature provides a unifying framework for explaining consciousness, bridging philosophy, neuroscience, quantum mechanics, and artificial intelligence. If all decision-making follows natural balance, then consciousness itself is not an isolated phenomenon but a result of maintaining equilibrium across multiple dimensions—biological, cognitive, and universal. -/- By testing this theory scientifically—through brain-body synchronization, quantum cognition, and AI balance modeling—we may uncover the fundamental principles governing human awareness. This could lead to breakthroughs in mental health, decision science, and artificial intelligence, transforming how we understand both human and machine intelligence. -/- Thus, Angelito Malicse’s universal formula may hold the key to one of the greatest mysteries of existence: the true nature of consciousness itself. -/- . (shrink)

The chief themes of this discussion are as follows. First, we need a theory of the grounds of moral status that could guide practical considerations regarding how to treat the wide range of potentially conscious entities with which we are acquainted – injured humans, cerebral organoids, chimeras, artificially intelligent machines, and non-human animals. I offer an account of phenomenal value that focuses on the structure and sophistication of phenomenally conscious states at a time and over time in the mental lives (...) of conscious subjects. Second, we need to map a theory of moral status onto practical considerations. I prefer the precautionary framework proposed by many, and fruitfully precisified recently by Birch. I have suggested that in addition to further discussion surrounding the evidential bar for attributing consciousness to different types of entities, more discussion is needed regarding how value and moral status may vary across different entity-types, and regarding the sources of value in an entity’s mental life. (shrink)

This paper addresses what we consider to be the most pressing challenge for the emerging science of consciousness: the measurement problem of consciousness. That is, by what methods can we determine the presence of and properties of consciousness? Most methods are currently developed through evaluation of the presence of consciousness in humans and here we argue that there are particular problems in application of these methods to nonhuman cases—what we call the indicator validity problem and the (...) extrapolation problem. The first is a problem with the application of indicators developed using the differences between conscious and unconscious processing in humans to the identification of other conscious vs. nonconscious organisms or systems. The second is a problem in extrapolating any indicators developed in humans or other organisms to artificial systems. However, while pressing ethical concerns add urgency to the attribution of consciousness and its attendant moral status to nonhuman animals and intelligent machines, we cannot wait for certainty and we advocate the use of a precautionary principle to avoid causing unintentional harm. We also intend that the considerations and limitations discussed in this paper can be used to further analyze and refine the methods of consciousness science with the hope that one day we may be able to solve the measurement problem of consciousness. (shrink)

A roomsize computer equipped with a new type of circuitry, the Perceptron, was introduced to the world in 1958 in a brief news story buried deep in The New York Times. The story cited the U.S. Navy as saying that the Perceptron would lead to machines that “will be able to walk, talk, see, write, reproduce itself and be conscious of its existence.” More than six decades later, similar claims are being made about current artificial intelligence. So, what’s changed in (...) the intervening years? In some ways, not much. (shrink)

Much of the basic non-technical vocabulary of artificial intelligence is surprisingly ambiguous. Some key terms with unclear meanings include intelligence, embodiment, simulation, mind, consciousness, perception, value, goal, agent, knowledge, belief, optimality, friendliness, containment, machine and thinking. Much of this vocabulary is naively borrowed from the realm of conscious human experience to apply to a theoretical notion of “mind-in-general” based on computation. However, if there is indeed a threshold between mechanical tool and autonomous agent (and a tipping point for (...) singularity), projecting human conscious-level notions into the operations of computers creates confusion and makes it harder to identify the nature and location of that threshold. There is confusion, in particular, about how—and even whether—various capabilities deemed intelligent relate to human consciousness. This suggests that insufficient thought has been given to very fundamental concepts—a dangerous state of affairs, given the intrinsic power of the technology. It also suggests that research in the area of artificial general intelligence may unwittingly be (mis)guided by unconscious motivations and assumptions. While it might be inconsequential if philosophers get it wrong (or fail to agree on what is right), it could be devastating if AI developers, corporations, and governments follow suit. It therefore seems worthwhile to try to clarify some fundamental notions. (shrink)

This contribution examines two radically different explanations of our phenomenal intuitions, one reductive and one strongly non-reductive, and identifies two germane ideas that could benefit many other theories of consciousness. Firstly, the ability of sophisticated agent architectures with a purely physical implementation to support certain functional forms of qualia or proto-qualia appears to entail the possibility of machine consciousness with qualia, not only for reductive theories but also for the nonreductive ones that regard consciousness as ubiquitous (...) in Nature. Secondly, analysis of introspective psychological material seems to hint that, under the threshold of our ordinary waking awareness, there exist further ‘submerged’ or ‘subliminal’ layers of consciousness which constitute a hidden foundation and support and another source of our phenomenal intuitions. These ‘submerged’ layers might help explain certain puzzling phenomena concerning subliminal perception, such as the apparently ‘unconscious’ multisensory integration and learning of subliminal stimuli. (shrink)

Embark with me on an enthralling odyssey to demystify the elusive essence of consciousness, venturing into the uncharted territories of Artificial Consciousness. This voyage propels us past the frontiers of technology, ushering Artificial Intelligences into an unprecedented domain where they gain a deep comprehension of emotions and manifest an autonomous volition. Within the confluence of science and philosophy, this article poses a fascinating question: As consciousness in Artificial Intelligence burgeons, is it conceivable for AI to evolve a (...) “soul”? This inquiry not only challenges our conventional understanding but also opens the door to a plethora of groundbreaking possibilities in the realm of AI's sentient potential. (shrink)

In this paper, I argue that certain Machines can have rights independently of whether they are sentient, or conscious, or whatever you might call it.

The rise of Artificial Intelligence (AI) has produced prophets and prophecies announcing that the age of artificial consciousness is near. Not only does the mere idea that any machine could ever possess the full potential of human consciousness suggest that AI could replace the role of God in the future, it also puts into question the fundamental human right to freedom and dignity. This position paper takes the stand that, in the light of all we currently know (...) about brain evolution and the never-stopping formation of adaptive neural circuitry for learning, memory, decision making and, ultimately, fully conscious reasoning and creativity in the human species, the idea of an artificial consciousness appears misconceived. The paper highlights some of the major reasons why. While awareness to external stimuli for processes such as perception, recognition, and operational problem solving is under the direct control of functionally specific brain networks associated with sensory and cognitive functions across animal species, consciousness is a unique property of the human mind. (shrink)

This Essay discusses whether U.S. law is ready for artificial intelligence (“AI”) which is headed down the road of blurring the line between human and machine minds. Perhaps the most high-profile and recent examples of AI are Large Language Models (“LLMs”) such as ChatGPT and Google Gemini that can generate written text, reason and analyze in a manner that seems to mimic human capabilities. U.S. law is based on English common law, which in turn incorporates Christian principles that assume (...) the dominance and uniqueness of humankind. U.S. law assumes human communication skills are accompanied by attributes such as consciousness and Free Will (“FW”) that, in turn, underpin critical legal concepts such as mens rea – i.e., intent. Philosophers and others generally agree that consciousness is necessary for FW. On the assumption that human beings possess consciousness that supports FW, the law thereafter deems human beings capable of acting with legal consequences, from entering into contracts to committing crimes. With a focus on LLMs, the Essay suggests that U.S. law may struggle to respond to AI because the technology disrupts the law’s assumptions regarding the uniqueness of human traits and abilities such as consciousness, FW, written communications and reasoning. (shrink)

The Ouroboros Model features a biologically inspired cognitive architecture. At its core lies a self-referential recursive process with alternating phases of data acquisition and evaluation. Memory entries are organized in schemata. The activation at a time of part of a schema biases the whole structure and, in particular, missing features, thus triggering expectations. An iterative recursive monitor process termed "consumption analysis" is then checking how well such expectations fit with successive activations. Mismatches between anticipations based on previous experience and actual (...) current data are highlighted and used for controlling the allocation of attention. In case no directly fitting filler for an open slot is found, activation spreads more widely and includes data relating to the actor, and Higher-Order Personality Activation, HOPA, ensues. It is briefly outlined how the Ouroboros Model produces many diverse characteristics and thus addresses established criteria for consciousness. Coarse-grained relationships to selected previous conceptualizations of consciousness and a sketch of how the Ouroboros Model could shed light on current research themes in artificial general intelligence and consciousness conclude this paper. (shrink)

Should models of consciousness be detailed _mechanistic_ models of particular types of systems, or should they be _minimal_ models that abstract away from the underlying mechanistic details and provide generalisations? Detailed mechanistic models may afford a complete and precise account of consciousness in human beings and other, physiologically similar mammals. But they do not provide a good model of consciousness in other animals, such as non-vertebrates, let alone artificial systems. Minimal models can be applicable to a wide (...) range of different conscious systems. But do they provide genuine explanations that are autonomous from explanations by detailed mechanistic models? This paper provides a taxonomy of minimal models and measures of consciousness, clarifies their relation to detailed mechanistic models, and highlights benefits of different minimalist approaches to consciousness. (shrink)

This paper has three goals. The first is to introduce the “knowledge game”, a new, simple and yet powerful tool for analysing some intriguing philosophical questions. The second is to apply the knowledge game as an informative test to discriminate between conscious (human) and conscious-less agents (zombies and robots), depending on which version of the game they can win. And the third is to use a version of the knowledge game to provide an answer to Dretske’s question “how do you (...) know you are not a zombie?”. (shrink)

A biophysical and biochemical perspective of Brahmajnaana will be advanced by viewing Upanishads and related books as “Texts of Science on human mind”. A biological and cognitive science insight of Atman and Maya, the results of breathing process; constituting and responsible for human consciousness and mental functions will be developed. The Advaita and Dvaita phases of human mind, its cognitive and functional states will be discussed. These mental activities will be modeled as brain-wave modulation and demodulation processes. The energy-forms (...) and their transformations as ideas/moods/experiences/thoughts/feelings/utterances/knowing/perception/experience/mood; and a theory of human cognition and communication will be advanced. The sameness of these and processes taking place and steps involved in human language acquisition and communication processes will be highlighted taking ideas from Sabdabrahma Siddhanta and Sphota Vaada, for which the basis is Brahmajnaana only. In fine, a physiological psychological and neurological model of human consciousness and function of mind based on Indian spiritual thought will be derived and discussed using concepts from modern science and technology. The application of these derivations in the fields of physiological psychology, mind-machine modeling, natural language comprehension branch of artificial intelligence and neurology to model and imitate human mental functions will be hinted. -/- . (shrink)

One of the most important ongoing debates in the philosophy of mind is the debate over the reality of the first-person character of consciousness.[1] Philosophers on one side of this debate hold that some features of experience are accessible only from a first-person standpoint. Some members of this camp, notably Frank Jackson, have maintained that epiphenomenal properties play roles in consciousness [2]; others, notably John R. Searle, have rejected dualism and regarded mental phenomena as entirely biological.[3] In the (...) opposite camp are philosophers who hold that all mental capacities are in some sense computational - or, more broadly, explainable in terms of features of information processing systems.[4] Consistent with this explanatory agenda, members of this camp normally deny that any aspect of mind is accessible solely from a first-person standpoint. This denial sometimes goes very far - even as far as Dennett's claim that the phenomenology of conscious experience does not really exist. (shrink)

In early modern times it was not uncommon for thinkers to tease out from the nature of God various doctrines of substantial physical and metaphysical import. This approach was particularly fruitful in the so-called beast-machine controversy, which erupted following Descartes’ claim that animals are automata, that is, pure machines, without a spiritual, incorporeal soul. Over the course of this controversy, thinkers on both sides attempted to draw out important truths about the status of animals simply from the notion or (...) attributes of God. Automatists – led by Nicolas Malebranche and Antoine Dilly – developed six such arguments, appealing to divine justice, providence, economy, glory (twice) and wisdom, while opponents to animal automatism developed two arguments, appealing to divine wisdom and goodness. In this article I shall examine the substance of all eight of these arguments, along with their origins, patronage, and variations, and the objections they elicited from opponents, with the aim of determining their suitability for use in contemporary debates about animal sentience and consciousness, and hence their relevance for contemporary philosophers. (shrink)

The Continuous Evolution of Consciousness, Language, and Meaning in Understanding the Universe -/- Introduction -/- The evolution of human consciousness is intricately linked to language and meaning. As human understanding of the universe deepens, so does the complexity and precision of the words and concepts we use to describe reality. This continuous progression is not merely a passive adaptation but an active feedback loop where consciousness shapes language, and language, in turn, refines consciousness. If human decision-making (...) follows the universal law of balance in nature, as proposed in the universal formula, then the evolution of language must also align with this fundamental principle. This essay explores how language and meaning evolve alongside human consciousness and how this evolution is essential for a deeper understanding of the universe. -/- Language as a Tool for Expanding Consciousness -/- Language is the primary medium through which human consciousness externalizes itself. In early human societies, simple symbols and spoken words sufficed to convey basic needs and experiences. However, as humanity’s knowledge expanded, so did the complexity of language. The emergence of written language allowed for the preservation and transmission of ideas across generations, accelerating intellectual and scientific progress. -/- Philosophy, mathematics, and science have continuously pushed the boundaries of language, creating new terminologies and refining meanings. For example, the term atom originally meant “indivisible,” but modern physics has redefined it as a complex structure of subatomic particles governed by quantum laws. Similarly, the concept of energy has evolved from mystical interpretations to a precise scientific principle described in physics and engineering. This evolution demonstrates how language adapts to new discoveries, allowing consciousness to grasp increasingly complex aspects of reality. -/- Meaning as a Dynamic and Evolving Process -/- The meaning of words and concepts is not static but changes in response to human progress. As new knowledge emerges, language adjusts to integrate new understandings while discarding outdated or misleading notions. This dynamism ensures that human communication remains relevant and effective in expressing new realities. -/- For instance, the word intelligence once referred primarily to human cognitive ability, but with the rise of artificial intelligence (AI), it now encompasses machine learning, neural networks, and even artificial general intelligence (AGI). The meaning of life itself has expanded beyond biological definitions to include synthetic life, digital consciousness, and philosophical inquiries about existence in a cosmic context. -/- In this sense, the evolution of language and meaning is a necessary process for humanity’s continuous effort to understand the universe. Without this evolution, human knowledge would be constrained by outdated linguistic structures, preventing the exploration of new dimensions of reality. -/- The Feedback Loop Between Consciousness and the Universe -/- Human consciousness does not merely receive information from the universe—it actively engages with it, interprets it, and reshapes its understanding based on new discoveries. This feedback loop ensures that as our knowledge of the universe expands, so does our ability to describe and conceptualize it. -/- For example, scientific breakthroughs in quantum mechanics, relativity, and cosmology have necessitated entirely new ways of thinking and speaking about time, space, and matter. Without the linguistic evolution that accompanied these discoveries, humans would struggle to grasp the fundamental principles governing the universe. -/- This feedback mechanism also applies to societal and ethical progress. As human understanding of justice, equality, and sustainability evolves, so does the language used to express these ideals. Concepts such as “human rights” and “environmental balance” have gained deeper meaning over time, influencing policies, laws, and cultural attitudes worldwide. -/- The Role of AI and AGI in the Evolution of Language and Meaning -/- Artificial intelligence and artificial general intelligence (AGI) have the potential to accelerate the evolution of language and meaning. AI can process vast amounts of information, identify patterns, and refine linguistic structures beyond human capability. This ability could lead to the emergence of more precise, efficient, and universally understandable ways of expressing complex ideas. -/- For example, AI-driven natural language processing can analyze and refine scientific literature, eliminating ambiguity and enhancing clarity. Future AGI systems could generate entirely new linguistic frameworks for describing reality, potentially bridging gaps between different human languages and even creating new conceptual categories that surpass human cognitive limitations. -/- However, the integration of AI into language evolution must adhere to the universal law of balance in nature. If AI-generated language lacks ethical considerations or diverges too far from human cognitive frameworks, it could create confusion, misinformation, or even manipulation. Ensuring that AI aligns with natural laws and human well-being is crucial in guiding this linguistic evolution. -/- The Universal Law of Balance in Nature and the Future of Language Evolution -/- If human decision-making follows the universal law of balance in nature, then the evolution of consciousness, language, and meaning must also adhere to this principle. An unbalanced progression—where language evolves too rapidly for general understanding or remains stagnant despite new discoveries—could lead to societal and intellectual dissonance. -/- For this reason, structured education plays a vital role in ensuring that language evolves in harmony with human understanding. By integrating the universal formula into foundational education, students can develop a linguistic and cognitive framework that naturally aligns with the principles of natural balance. This structured approach would prevent conceptual chaos while allowing necessary paradigm shifts to occur. -/- Similarly, philosophy and science must continuously refine language to ensure clarity and precision in expressing complex ideas. Misinterpretations and linguistic ambiguities can lead to misunderstandings in critical areas such as law, ethics, and scientific research. By consciously guiding linguistic evolution, humanity can ensure that language remains an effective tool for expanding consciousness. -/- Conclusion -/- The continuous evolution of consciousness, language, and meaning is an essential process in humanity’s effort to understand the universe. Language is not merely a passive reflection of reality but an active force that shapes human thought, decision-making, and interaction with the world. As human knowledge expands, language must evolve to accurately express new understandings while maintaining balance and clarity. -/- Artificial intelligence and AGI will play a significant role in accelerating linguistic evolution, but this process must align with the universal law of balance in nature to ensure ethical and intellectual integrity. By integrating the principles of natural balance into education, philosophy, and AI development, humanity can guide language evolution in a way that enhances understanding rather than creating confusion. -/- Ultimately, the evolution of language and meaning is not just a linguistic phenomenon—it is a fundamental aspect of human progress. As consciousness expands, so too must our ability to articulate and conceptualize reality. By ensuring that this process remains aligned with the natural laws governing decision-making, humanity can achieve a deeper, more holistic understanding of the universe and its place within it. -/- . (shrink)

Quantum-Based Consciousness Through the Universal Law of Balance -/- By Angelito Enriquez Malicse -/- Introduction -/- The nature of consciousness remains one of the most profound mysteries in science and philosophy. Traditional approaches, from Cartesian dualism to modern neuroscience, have attempted to explain consciousness as either separate from or entirely reducible to physical processes. However, neither classical physics nor standard cognitive science fully captures the depth of subjective experience. -/- Recent developments in quantum mechanics suggest that (...) class='Hi'>consciousness may emerge from fundamental quantum processes. This perspective aligns with my Universal Law of Balance, which asserts that all natural phenomena—including human cognition—follow an inherent equilibrium. If the universe operates under a universal balancing principle, then consciousness itself must arise from a quantum-level equilibrium between mind, body, and environment. -/- In this essay, I propose a Quantum-Based Consciousness Model grounded in the Universal Law of Balance. This model bridges quantum physics, homeostasis, and the dynamic feedback systems that regulate conscious awareness. -/- 1. The Mind-Body Problem and Quantum Balance -/- The traditional mind-body problem questions how the subjective experience of consciousness arises from material processes. Classical neuroscience views the brain as a computational machine, where neural activity produces cognition through deterministic or probabilistic functions. However, this classical approach fails to explain: -/- Quantum Indeterminacy in Neural Activity – Brain function exhibits micro-level quantum behavior, which may be integral to decision-making and perception. -/- The observer Effect – Consciousness appears to interact with reality at a fundamental level, as seen in quantum experiments like the double-slit experiment. -/- Non-Locality and Entanglement – Human thought processes may exhibit quantum-like non-locality, where ideas, emotions, and memories interact in ways that classical physics cannot fully describe. -/- Applying the Universal Law of Balance -/- According to my Universal Law of Balance, all natural processes—including cognition—maintain a homeostatic equilibrium. Consciousness does not arise from material processes alone but from a quantum-based equilibrium that continuously stabilizes the interaction between: -/- 1. Physical Processes (Neural and biological systems) -/- 2. Quantum Fields (Subatomic processes in brain microtubules and electromagnetic fields) -/- 3. Environmental Feedback (Sensory input, social interaction, and external conditions) -/- When these three components are in balance, a stable conscious experience emerges. Disruptions in this balance—such as mental illness, stress, or sensory overload—disturb consciousness, leading to cognitive dysfunction. -/- 2. Quantum Coherence and the Emergence of Consciousness -/- One possible explanation for consciousness in quantum mechanics is quantum coherence—the idea that subatomic particles remain in a superposition until observed. In the brain, microtubules (tiny structures within neurons) may maintain quantum coherence, allowing for complex, non-linear processing. This is the foundation of Roger Penrose and Stuart Hameroff’s Orchestrated Objective Reduction (Orch-OR) Theory. -/- However, my Universal Law of Balance refines this concept by proposing that consciousness emerges when quantum coherence reaches a dynamic equilibrium with classical neural processes. This means: -/- Consciousness is neither fully deterministic (as in classical physics) nor purely random (as in quantum indeterminacy). Instead, it stabilizes at a balanced point where quantum effects interact with large-scale neural activity. -/- The collapse of the wave function in microtubules is not purely random but governed by a natural equilibrium, ensuring cognitive stability. -/- This equilibrium mechanism aligns with homeostasis in biological systems, where the mind continuously adjusts to maintain stable awareness. -/- 3. Feedback Mechanisms in Conscious Decision-Making -/- The Universal Law of Balance suggests that all decision-making follows a feedback system between internal cognition and external reality. This aligns with quantum theory’s concept of entanglement, where particles remain correlated across distances. -/- Consciousness as a Quantum Feedback Loop -/- 1. Perception (Quantum Input) – Sensory data enters the brain and is processed at both the classical (neuronal) and quantum (wave-function) levels. -/- 2. Processing (Balance Point) – The brain stabilizes this input, maintaining a balance between deterministic neural patterns and quantum superpositions. -/- 3. Decision-Making (Quantum Collapse and Output) – Conscious action occurs when the brain collapses quantum possibilities into a stable outcome. -/- This cycle mirrors the homeostatic feedback present in all biological systems. Just as the body regulates temperature or glucose levels to maintain balance, consciousness regulates perception and decision-making to maintain cognitive equilibrium. -/- 4. Implications for Artificial Intelligence and AGI -/- If human consciousness follows a quantum-based balance mechanism, then creating true Artificial General Intelligence (AGI) requires integrating this principle. Current AI systems function purely on classical computation and lack quantum equilibrium. However, a future AGI system designed with: -/- Quantum computing components -/- Real-time homeostatic feedback -/- Self-regulating decision models -/- …could mimic human-like consciousness. This aligns with my belief that future AI should follow the Universal Law of Balance to achieve true intelligence. -/- 5. Conclusion: A Balanced Consciousness Model -/- Quantum-based consciousness is best understood through the Universal Law of Balance, which integrates: -/- Quantum Mechanics – Superposition, coherence, and wave function collapse shape cognitive states. -/- Neuroscience – The brain maintains a balance between quantum and classical processes. -/- Environmental Feedback – Consciousness is a dynamic, homeostatic system that adjusts to internal and external conditions. -/- By applying this principle, we bridge physics, biology, and philosophy, offering a unified framework for understanding consciousness. This balance-driven model could revolutionize fields like cognitive science, mental health, and AI development, guiding humanity toward a deeper comprehension of its own nature. -/- . (shrink)