(Consciousness Redux) Rendering the Visible Invisible Clever Experiments Reveal How Unconscious Mechanisms Can Affect Our Brain and Our Behavior by Christof Koch
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Arxiv:2012.10390V2 [Cs.AI] 20 Feb 2021 Inaccessible
Opinion - Paper under review Deep Learning and the Global Workspace Theory Rufin VanRullen1, 2 and Ryota Kanai3 1CerCo, CNRS UMR5549, Toulouse, France 2ANITI, Universit´ede Toulouse, France 3Araya Inc, Tokyo. Japan Abstract Recent advances in deep learning have allowed Artificial Intelligence (AI) to reach near human-level performance in many sensory, perceptual, linguistic or cognitive tasks. There is a growing need, however, for novel, brain-inspired cognitive architectures. The Global Workspace theory refers to a large-scale system integrating and distributing infor- mation among networks of specialized modules to create higher-level forms of cognition and awareness. We argue that the time is ripe to consider explicit implementations of this theory using deep learning techniques. We propose a roadmap based on unsu- pervised neural translation between multiple latent spaces (neural networks trained for distinct tasks, on distinct sensory inputs and/or modalities) to create a unique, amodal global latent workspace (GLW). Potential functional advantages of GLW are reviewed, along with neuroscientific implications. 1 Cognitive neural architectures in brains and ma- chines Deep learning denotes a machine learning system using artificial neural networks with multiple \hidden" layers between the input and output layers. Although the underlying theory is more than 3 decades old [1, 2], it is only in the last decade that these systems have started to fully reveal their potential [3]. Many of the recent breakthroughs in AI (Artificial Intelligence) have been fueled by deep learning. Neuroscientists have been quick to point out the similarities (and differences) between the brain and these deep artificial neural networks [4{9]. The advent of deep learning has allowed the efficient computer implementation of perceptual and cognitive functions that had been so far arXiv:2012.10390v2 [cs.AI] 20 Feb 2021 inaccessible. -
Artificial Consciousness and the Consciousness-Attention Dissociation
Consciousness and Cognition 45 (2016) 210–225 Contents lists available at ScienceDirect Consciousness and Cognition journal homepage: www.elsevier.com/locate/concog Review article Artificial consciousness and the consciousness-attention dissociation ⇑ Harry Haroutioun Haladjian a, , Carlos Montemayor b a Laboratoire Psychologie de la Perception, CNRS (UMR 8242), Université Paris Descartes, Centre Biomédical des Saints-Pères, 45 rue des Saints-Pères, 75006 Paris, France b San Francisco State University, Philosophy Department, 1600 Holloway Avenue, San Francisco, CA 94132 USA article info abstract Article history: Artificial Intelligence is at a turning point, with a substantial increase in projects aiming to Received 6 July 2016 implement sophisticated forms of human intelligence in machines. This research attempts Accepted 12 August 2016 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 Keywords: once we overcome short-term engineering challenges. We believe, however, that phenom- Artificial intelligence enal consciousness cannot be implemented in machines. This becomes clear when consid- Artificial consciousness ering emotions and examining the dissociation between consciousness and attention in Consciousness Visual attention humans. While we may be able to program ethical behavior based on rules and machine Phenomenology learning, we will never be able to reproduce emotions or empathy by programming such Emotions control systems—these will be merely simulations. Arguments in favor of this claim include Empathy considerations about evolution, the neuropsychological aspects of emotions, and the disso- ciation between attention and consciousness found in humans. -
Koch AAAS Updated
Consciousness and Intelligence Dr. Christof Koch Allen Institute for Brain Science Seattle, USA Cartesian Certainty As a radical skeptic, the only certainty Rene Descartes had Je pense, donc je suis translated later on as Cogito, ergo sum. or, in modern language, I am conscious, therefore I am Rene Descartes (1637) Intelligence and Consciousness • Intelligence - the ability to understand new ideas, to adapt to new environments, to learn from experience, to think abstractly, to plan and to reason • It can be decomposed into crystalline and fluid intelligence and can be measured (IQ, g-factor) • Consciousness - the ability to experience something, to see, hear, feel angry, or explicitly recall an event • Many animals besides humans experience the sights and sounds of the world Lilac Chaser What do we know about Consciousness? • Consciousness is associated with some complex, adaptive, biological networks (not immune system nor enteric nervous system) • Consciousness does not require behavior • Consciousness can be dissociated from emotion, selective attention, long-term memory and language • Self-consciousness is one of many aspects of consciousness, highly developed in adult neuro-typical humans, less so in infants, certain patients and non-human animals Many Zombie Behaviors Many - if not most - behaviors occur in the absence of conscious sensations, or consciousness occurs after the fact: • Over-trained routines - shaving, dressing, tennis, video games, keyboard typing, driving, rock-climbing, dancing • Reaching and grabbing, posture adjustments • Generating and understanding speech • Eye-movement control • High-level decision making (e.g. choice blindness, dissociations) Neuronal Correlates of Consciousness (NCC) Search for the minimal neuronal mechanisms jointly sufficient for any one conscious perception, the NCC. -
© 2017 Luis H. Favela, Ph.D. 1 University of Central Florida PHI
1 University of Central Florida PHI 3320: Philosophy of Mind Fall 2017, Syllabus, v. 08222017 Course Information ¨ Title: Philosophy of Mind ¨ Course number: PHI 3320 ¨ Credit hours: 3.0 ¨ Term: Fall semester 2017 ¨ Mode: Web Instructor Information ¨ Name: Luis Favela, Ph.D. (Please refer to me as “Dr. Favela” or “Professor Favela.”) ¨ Email: [email protected] ¨ Website: http://philosophy.cah.ucf.edu/staff.php?id=1017 ¨ Office location: PSY 0245 ¨ Office hours: Tuesday and Thursday 1:30 – 3:00 pm Course Description ¨ Catalogue description: Recent and contemporary attempts to understand the relation of mind to body, the relation of consciousness to personhood, and the relation of psychology to neurobiology. ¨ Detailed description: This course introduces some of the main arguments, concepts, and theories in the philosophy of mind. Some of the questions addressed in the philosophy of mind include: “What are minds made of,” “How does the mind relate to the brain,” and “what is consciousness?” Answers to these questions have consequences for a wide range of other disciplines, including computer science, ethics, neuroscience, and theology. The first part of the course covers the main philosophical views concerning mind, such as dualism, behaviorism, identity theory, functionalism, and eliminativism. The second part of the course focuses on consciousness, and questions such as: “Does ‘consciousness’ exist,” “Is consciousness physical,” and “Can there be a science of consciousness?” Student Learning Outcomes ¨ Students will be able to describe the main philosophical views concerning the mind. § Students will be able to reconstruct the arguments underlying the main philosophical views concerning the mind. § Students will be able to articulate their positions concerning whether or not they agree with the conclusions of the arguments behind the main philosophical views concerning the mind. -
Is the Integrated Information Theory of Consciousness Compatible with Russellian Panpsychism?
Is the Integrated Information Theory of Consciousness Compatible with Russellian Panpsychism? Hedda Hassel Mørch Erkenntnis (2018) Penultimate draft – please refer to published version for citation. Abstract: The Integrated Information Theory (IIT) is a leading scientific theory of consciousness, which implies a kind of panpsychism. In this paper, I consider whether IIT is compatible with a particular kind of panpsychism known as Russellian panpsychism, which purports to avoid the main problems of both physicalism and dualism. I will first show that if IIT were compatible with Russellian panpsychism, it would contribute to solving Russellian panpsychism’s combination problem, which threatens to show that the view does not avoid the main problems of physicalism and dualism after all. I then show that the theories are not compatible as they currently stand, in view of what I call the coarse-graining problem. After I explain the coarse-graining problem, I will offer two possible solutions, each involving a small modification of IIT. Given either of these modifications, IIT and Russellian panpsychism may be fully compatible after all, and jointly enable significant progress on the mind–body problem. 1 Introduction Panpsychism is the view that every physical thing is associated with consciousness. More precisely, it is the view that every physical thing is either (1) conscious as a whole, (2) made of parts which are all conscious, or (3) itself forms part of a greater conscious whole. Humans and animals (or certain areas of human and animal brains) are conscious in the first sense—our consciousness is unified, or has a single, subjective point of view. -
Robot Citizenship and Women's Rights: the Case of Sophia the Robot in Saudi Arabia
Robot citizenship and women's rights: the case of Sophia the robot in Saudi Arabia Joana Vilela Fernandes Master in International Studies Supervisor: PhD, Giulia Daniele, Integrated Researcher and Guest Assistant Professor Center for International Studies, Instituto Universitário de Lisboa (CEI-IUL) September 2020 Robot citizenship and women's rights: the case of Sophia the robot in Saudi Arabia Joana Vilela Fernandes Master in International Studies Supervisor: PhD, Giulia Daniele, Integrated Researcher and Guest Assistant Professor Center for International Studies, Instituto Universitário de Lisboa (CEI-IUL) September 2020 Acknowledgments I would like to express my great appreciation to my parents and to my sister for the continuous moral support and motivation given during my entire studies and especially during quarantine as well as the still ongoing pandemic. I am also particularly grateful to my supervisor, Giulia Daniele, for all the provided assistance, fundamental advice, kindness and readiness to help throughout the research and writing process of my thesis. v vi Resumo Em 2017, a Arábia Saudita declarou Sophia, um robô humanoide, como cidadão Saudita oficial. Esta decisão voltou a realçar os problemas de desigualdade de género no país e levou a várias discussões relativamente a direitos das mulheres, já que o Reino é conhecido por ainda ser um país conservativo e tradicionalmente patriarcal, ter fortes valores religiosos e continuar a não tratar as mulheres de forma igualitária. Por outras palavras, este caso é particularmente paradoxal por causa da negação ativa de direitos humanos às mulheres, da sua falta de plena cidadania e da concessão simultânea deste estatuto a um ser não humano com aparência feminina. -
An Affective Computational Model for Machine Consciousness
An affective computational model for machine consciousness Rohitash Chandra Artificial Intelligence and Cybernetics Research Group, Software Foundation, Nausori, Fiji Abstract In the past, several models of consciousness have become popular and have led to the development of models for machine con- sciousness with varying degrees of success and challenges for simulation and implementations. Moreover, affective computing attributes that involve emotions, behavior and personality have not been the focus of models of consciousness as they lacked moti- vation for deployment in software applications and robots. The affective attributes are important factors for the future of machine consciousness with the rise of technologies that can assist humans. Personality and affection hence can give an additional flavor for the computational model of consciousness in humanoid robotics. Recent advances in areas of machine learning with a focus on deep learning can further help in developing aspects of machine consciousness in areas that can better replicate human sensory per- ceptions such as speech recognition and vision. With such advancements, one encounters further challenges in developing models that can synchronize different aspects of affective computing. In this paper, we review some existing models of consciousnesses and present an affective computational model that would enable the human touch and feel for robotic systems. Keywords: Machine consciousness, cognitive systems, affective computing, consciousness, machine learning 1. Introduction that is not merely for survival. They feature social attributes such as empathy which is similar to humans [12, 13]. High The definition of consciousness has been a major challenge level of curiosity and creativity are major attributes of con- for simulating or modelling human consciousness [1,2]. -
A Traditional Scientific Perspective on the Integrated Information Theory Of
entropy Article A Traditional Scientific Perspective on the Integrated Information Theory of Consciousness Jon Mallatt The University of Washington WWAMI Medical Education Program at The University of Idaho, Moscow, ID 83844, USA; [email protected] Abstract: This paper assesses two different theories for explaining consciousness, a phenomenon that is widely considered amenable to scientific investigation despite its puzzling subjective aspects. I focus on Integrated Information Theory (IIT), which says that consciousness is integrated information (as φMax) and says even simple systems with interacting parts possess some consciousness. First, I evaluate IIT on its own merits. Second, I compare it to a more traditionally derived theory called Neurobiological Naturalism (NN), which says consciousness is an evolved, emergent feature of complex brains. Comparing these theories is informative because it reveals strengths and weaknesses of each, thereby suggesting better ways to study consciousness in the future. IIT’s strengths are the reasonable axioms at its core; its strong logic and mathematical formalism; its creative “experience- first” approach to studying consciousness; the way it avoids the mind-body (“hard”) problem; its consistency with evolutionary theory; and its many scientifically testable predictions. The potential weakness of IIT is that it contains stretches of logic-based reasoning that were not checked against hard evidence when the theory was being constructed, whereas scientific arguments require such supporting evidence to keep the reasoning on course. This is less of a concern for the other theory, NN, because it incorporated evidence much earlier in its construction process. NN is a less mature theory than IIT, less formalized and quantitative, and less well tested. -
Robot Rights Conscious Machines: Defining Questions
Conscious robots may merit legal protections. Developing machine capacities such as artificial intelligence (AI) and robots for human-robot interaction is of extreme technological value, but it raises moral and ethical questions. For example, one of the major sectors in robotics is the develop- ment of sexual robots (1). Although some researchers consider this phenomenon a gateway to the future acceptance of human- robot interactions, others see a danger for human society as robots modify the social LETTERS representation of human behaviors (2, 3). The robotics field must wrestle with these questions: Is it ethical to create and con- tinue to use robots with consciousness in Edited by Jennifer Sills global projection of winning representa- the way we use robots that were originally tions and have metacognitive capacity, designed for our needs? Do robots deserve Downloaded from such as confidence estimates. If these types to be protected? This debate could challenge Conscious machines: of processes were strongly indicative of the limits of human morality and polarize consciousness, we would have to admit society’s views on whether conscious robots Defining questions that some machines are already conscious. are objects or living entities (4–6). In their Review “What is consciousness, We agree with Dehaene et al. that to As we approach an era when conscious and could machines have it?” (27 October address the question of machine conscious- robots become part of daily life, it is http://science.sciencemag.org/ 2017, p. 486), S. Dehaene et al. argue that ness, we must start with a theory of human important to start thinking about the cur- the science of consciousness indicates that consciousness. -
Artificial Pain May Induce Empathy, Morality, and Ethics in The
philosophies Article Artificial Pain May Induce Empathy, Morality, and Ethics in the Conscious Mind of Robots Minoru Asada Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; [email protected] Received: 6 June 2019; Accepted: 8 July 2019; Published: 13 July 2019 Abstract: In this paper, a working hypothesis is proposed that a nervous system for pain sensation is a key component for shaping the conscious minds of robots (artificial systems). In this article, this hypothesis is argued from several viewpoints towards its verification. A developmental process of empathy, morality, and ethics based on the mirror neuron system (MNS) that promotes the emergence of the concept of self (and others) scaffolds the emergence of artificial minds. Firstly, an outline of the ideological background on issues of the mind in a broad sense is shown, followed by the limitation of the current progress of artificial intelligence (AI), focusing on deep learning. Next, artificial pain is introduced, along with its architectures in the early stage of self-inflicted experiences of pain, and later, in the sharing stage of the pain between self and others. Then, cognitive developmental robotics (CDR) is revisited for two important concepts—physical embodiment and social interaction, both of which help to shape conscious minds. Following the working hypothesis, existing studies of CDR are briefly introduced and missing issues are indicated. Finally, the issue of how robots (artificial systems) could be moral agents is addressed. Keywords: pain; empathy; morality; mirror neuron system (MNS) 1. Introduction The rapid progress of observation and measurement technologies in neuroscience and physiology have revealed various types of brain activities, and the recent progress of artificial intelligence (AI) technologies represented by deep learning (DL) methods [1] has been remarkable. -
FCMC Program Master DOC Final
The Francis Crick Memorial Conference Consciousness in Human and Non‐Human Animals Wolfson Hall, Churchill College Cambridge, United Kingdom "It is essenƟal to understand our Crick Memorial Conference: num Sponsor of the Francis Ɵ brains in some detail if we are to assess correctly our place in this Proud Pla Proud vast and compli- cated universe we see all around us." - Francis Crick All Bordering Photos Courtesy Google Images The Francis Crick Memorial Conference Francis Crick (1916‐2004) Thank you to all of our sponsors for your support in making the Francis Crick Memorial Conference a success and for helping us to fuel this unprecedented discussion on data‐driven perspectives on the neural correlates of consciousness. Sponsored by: The Francis Crick Memorial Conference The Francis Crick Memorial Conference Schedule of Events Schedule of Events 7:45 Check‐in / Complimentary 13:00 Complimentary Lunch Breakfast 14:00 Diana Reiss, Ph.D. Mirror Self‐recognition: A Case of 8:30 Christof Koch, Ph.D. Studying the Murine Mind Hunter College and Cognitive Convergence in Humans Allen Institute for Brain Science, City University of New York and other Animals Caltech 14:30 Franz X. Vollenweider, MD Neuronal Correlates of Psychedelic 9:00 Invited Lecture: Consciousness: A Pharmacological University of Zü rich School of Drug‐Induced Imagery in Humans Baltazar Gomez‐Mancilla, Perspective Medicine, Heffter Research Centre MD Ph.D. Novartis Institute of 15:00 Naotsugu Tsuchiya, Ph.D. Visual Consciousness Tracked with Biomedical Research RIKEN, ATR, Japan, Caltech, Direct Intracranial Recording from 9:30 Ryan Remedios, Ph.D.* The Claustrum and the Orchestra of Monash University Early Visual Cortices in Humans CalTech Cognitive Control Nikos K. -
Machine Consciousness by Using Cognitive Frameworks
State of the art in achieving machine consciousness by using cognitive frameworks Marius Marten Kästingschäfer Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands This review paper examines the developments in the field of artificial and machine consciousness, and focuses on state of the art research and the application of cognitive frameworks. This paper examines to what extent computer science has made use of existing theories regarding consciousness. Different projects using computational models of consciousness are compared and analyzed. It investigates if current artificial networks should be called conscious. The paper concludes that we are a long way from artificial consciousness comparable to the human brain. Keywords: Artificial Consciousness; Consciousness; Computational model; Review "Would the world without consciousness have from one to another. ANNs is the umbrella term and different remained a play before empty benches, not specifications exist. Convolutional neural networks (CNNs) existing for anybody, thus quite properly not for example were inspired by the organization of the visual existing?" cortex. Regulatory feedback networks algorithms and recurrent neural networks (RNNs) were influenced by animal [Erwin Schrödinger, Cambridge, 1958] sensory recognition systems and the human brain. The potential benefit of using neurobiological influenced 1. Introduction frameworks is no longer academia-based anymore but is also encountered in software company’s such as Google (Hassabis, The use of cognitive and neural models in information Kumaran, Summerfield, & Botvinick, 2017). Machine technology has become increasingly popular during the last learning for example is today widely used in natural language decade. Cognitive models or frameworks are explaining processing, image detection and fraud detection.