Proposal for an Approach to Artificial Consciousness Based on Self-Consciousness

Current research on artificial consciousness is focused on\ud phenomenal consciousness and on functional consciousness.\ud We propose to shift the focus to self-consciousness in order\ud to open new areas of investigation. We use an existing\ud scenario where self-consciousness is considered as the result of an evolution of representations. Application of the scenario to the possible build up of a conscious robot also introduces questions relative to emotions in robots. Areas of investigation are proposed as a continuation of this approach

Artificial consciousness and the consciousness-attention dissociation

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

Cognition as Embodied Morphological Computation

Cognitive science is considered to be the study of mind (consciousness and thought) and intelligence in humans. Under such definition variety of unsolved/unsolvable problems appear. This article argues for a broad understanding of cognition based on empirical results from i.a. natural sciences, self-organization, artificial intelligence and artificial life, network science and neuroscience, that apart from the high level mental activities in humans, includes sub-symbolic and sub-conscious processes, such as emotions, recognizes cognition in other living beings as well as extended and distributed/social cognition. The new idea of cognition as complex multiscale phenomenon evolved in living organisms based on bodily structures that process information, linking cognitivists and EEEE (embodied, embedded, enactive, extended) cognition approaches with the idea of morphological computation (info-computational self-organisation) in cognizing agents, emerging in evolution through interactions of a (living/cognizing) agent with the environment

Proposal for an evolutionary approach to self-consciousness (Feb 8th 2014)

It is pretty obvious to most of us that self-consciousness is a product of evolution. But its nature is unknown. We propose here a scenario addressing a possible evolutionary nature of self-consciousness covering the segment linking pre-human primates to humans. The scenario is based on evolutions of representations and of inter-subjectivity that could have taken place within the minds of our pre-human ancestors . We begin by situating self-consciousness relatively to other aspects of human consciousness. With the help of anthropology, we date a possible starting point of our scenario at a time when our non self-conscious pre-human ancestors were able to build meaningful representations and were capable of inter-subjectivity, like are our today modern apes. As the proposed scenario is based on an evolution of representations, we recall an existing model for meaningful representations based on the generation of meaningful information by systems submitted to internal constraints. This model allows us to define representations of conspecifics and auto-representations that we assume as having been present in the minds of our pre-human ancestors. The next step of the scenario is to consider an evolution of inter-subjectivity towards identification with conspecifics that could have led to a merger of the auto-representation with the representations of conspecifics in the minds of our ancestors. Such a merger brought the auto-representation to become about an entity existing in the environment, as were the representations of conspecifics. We consider that such identification with conspecifics has introduced in the mind of our ancestors an elementary and embryonic sense of being an existing entity that we name ‘ancestral self-consciousness’. The same process has also imposed to our ancestors an identification with suffering or endangered conspecifics which has produced an important anxiety increase that could have blocked the evolutionary process. We propose that the performances developed by our ancestors to manage that anxiety increase have also generated significant evolutionary advantages that have helped the development of ancestral self-consciousness and favored its evolution toward our full-fledged self-consciousness. It is also proposed that some pre-human primates have avoided the anxiety increase by finding a niche where evolutionary advantages were not necessary. This may have led to our today apes. The contribution of anxiety to the proposed scenario brings to position anxiety management as having guided the evolution of self-consciousness and as still being a key player in our today human minds. Regarding philosophy of mind, possible links between phenomenal consciousness and the proposed nature of self-consciousness are introduced. The conclusion presents a summary of the points addressed here. Possible continuations are highlighted as related to human mind, to anxiety management and to artificial intelligence

Categorical Ontology of Complex Systems, Meta-Systems and Theory of Levels: The Emergence of Life, Human Consciousness and Society

Single cell interactomics in simpler organisms, as well as somatic cell interactomics in multicellular organisms, involve biomolecular interactions in complex signalling pathways that were recently represented in modular terms by quantum automata with ‘reversible behavior’ representing normal cell cycling and division. Other implications of such quantum automata, modular modeling of signaling pathways and cell differentiation during development are in the fields of neural plasticity and brain development leading to quantum-weave dynamic patterns and specific molecular processes underlying extensive memory, learning, anticipation mechanisms and the emergence of human consciousness during the early brain development in children. Cell interactomics is here represented for the first time as a mixture of ‘classical’ states that determine molecular dynamics subject to Boltzmann statistics and ‘steady-state’, metabolic (multi-stable) manifolds, together with ‘configuration’ spaces of metastable quantum states emerging from complex quantum dynamics of interacting networks of biomolecules, such as proteins and nucleic acids that are now collectively defined as quantum interactomics. On the other hand, the time dependent evolution over several generations of cancer cells --that are generally known to undergo frequent and extensive genetic mutations and, indeed, suffer genomic transformations at the chromosome level (such as extensive chromosomal aberrations found in many colon cancers)-- cannot be correctly represented in the ‘standard’ terms of quantum automaton modules, as the normal somatic cells can. This significant difference at the cancer cell genomic level is therefore reflected in major changes in cancer cell interactomics often from one cancer cell ‘cycle’ to the next, and thus it requires substantial changes in the modeling strategies, mathematical tools and experimental designs aimed at understanding cancer mechanisms. Novel solutions to this important problem in carcinogenesis are proposed and experimental validation procedures are suggested. From a medical research and clinical standpoint, this approach has important consequences for addressing and preventing the development of cancer resistance to medical therapy in ongoing clinical trials involving stage III cancer patients, as well as improving the designs of future clinical trials for cancer treatments.\ud \ud \ud KEYWORDS: Emergence of Life and Human Consciousness;\ud Proteomics; Artificial Intelligence; Complex Systems Dynamics; Quantum Automata models and Quantum Interactomics; quantum-weave dynamic patterns underlying human consciousness; specific molecular processes underlying extensive memory, learning, anticipation mechanisms and human consciousness; emergence of human consciousness during the early brain development in children; Cancer cell ‘cycling’; interacting networks of proteins and nucleic acids; genetic mutations and chromosomal aberrations in cancers, such as colon cancer; development of cancer resistance to therapy; ongoing clinical trials involving stage III cancer patients’ possible improvements of the designs for future clinical trials and cancer treatments. \ud \u

On Minds' Localization

A confluence of clues from a range of academic topics suggests that minds localization in nature consists of relativistically moving microphysical particles, whose motion is physiologically modulated. Here those clues are shown to imply that the localization of the operations of observers (minds or existentialities) in nature are the actions carriers of a force field, which action carriers are slightly slowed from near-c speed motion by electroneurobiological variations in brain physiology – thus gating through relativistic time dilation the observer’s time resolution and putting her or him in operative connection or disconnection with the cerebral representation of the surrounding occurrences. In this scenario, minds as well as sensory knowledge acquire a precise definition and appear situated in a particular point of causal sequences. Summary in general terms: Why were minds selected to turn accidents into opportunities, i. e., to progress toward biological goals through appropriate steps for which the instructions are nonetheless undefinable? Minds appear situated in certain force-carrying particles whose speed sets wakefulness or sleep. Through this force, observable by its influence on the evolutionary process, minds and bodies interact. Physical actions impinging on a mind generate in it physical reactions whose causal efficiency gets exhausted, so that the reactions cannot continue their causal series. In exchange, they become sensorially known. On them the mind then takes efficient initiatives – whereby minds acquire intellectual development – generating changes. The broken causal sequence seems to be what enables minds for their biological role. Summary in technical terms: Observers’ localization in nature might be relativistically moving particles whose motion is physiologically modulated. Transdisciplinary clues imply that speed variation is imposed onto some action carriers of a force field by their coupling with intensity variations of an overlapping field. The operations of observers (minds or existentialities) in nature seem localized in such actions carriers, slightly slowed from near-c speed motion by electroneurobiological variations – which thus gate the observer’s time resolution and put her or him in operative connection or disconnection with the surroundings. Thereby minds and sensory knowledge appear in a particular point of causal sequences. ---------------- Keywords: Piaget causality mental causation evolution volition free-will pleasure/pain awareness self-consciousness evolution attention genetic epistemology gnoseology philosophical anthropology cerebral biophysics brain- mind relationships cadacualtez cadacualtic cilia ciliary cellular cognition electroneurodynamics engram epistemology memory mind-brain mind definition memoria nervous system evolution neural networks neurobiology cognitive neuroscience neuropsychiatry noergy nous-poietikos ontology consciousness paleontology person philosophy Precambrian psychopathology psychology psychism psychiatry recall special-relativity semovience sleep-biophysics shock soul time perception interval transform ultrahistory schizophrenia Turing machines vegetative artificial-lif

Analogy, Mind, and Life

I'll show that the kind of analogy between life and information [argue for by authors such as Davies (2000), Walker and Davies (2013), Dyson (1979), Gleick (2011), Kurzweil (2012), Ward (2009)] – that seems to be central to the effect that artificial mind may represents an expected advance in the life evolution in Universe – is like the design argument and that if the design argument is unfounded and invalid, the argument to the effect that artificial mind may represents an expected advance in the life evolution in Universe is also unfounded and invalid. However, if we are prepared to admit (though we should not do) this method of reasoning as valid, I'll show that the analogy between life and information to the effect that artificial mind may represents an expected advance in the life evolution in Universe seems suggest some type of reductionism of life to information, but biology respectively chemistry or physics are not reductionist, contrary to what seems to be suggested by the analogy between life and information