The relationships between intelligence and consciousness in natural and artificial systems

This paper explores some of the potential connections between natural and artificial intelligence and natural and artificial consciousness. In humans we use batteries of tests to indirectly measure intelligence. This approach breaks down when we try to apply it to radically different animals and to the many varieties of artificial intelligence. To address this issue people are starting to develop algorithms that can measure intelligence in any type of system. Progress is also being made in the scientific study of consciousness: we can neutralize the philosophical problems, we have data about the neural correlates and we have some idea about how we can develop mathematical theories that can map between physical and conscious states. While intelligence is a purely functional property of a system, there are good reasons for thinking that consciousness is linked to particular spatiotemporal patterns in specific physical materials. This paper outlines some of the weak inferences that can be made about the relationships between intelligence and consciousness in natural and artificial systems. To make real scientific progress we need to develop practical universal measures of intelligence and mathematical theories of consciousness that can reliably map between physical and conscious states

An architecture for ethical robots inspired by the simulation theory of cognition

The expanding ability of robots to take unsupervised decisions renders it imperative that mechanisms are in place to guarantee the safety of their behaviour. Moreover, intelligent autonomous robots should be more than safe; arguably they should also be explicitly ethical. In this paper, we put forward a method for implementing ethical behaviour in robots inspired by the simulation theory of cognition. In contrast to existing frameworks for robot ethics, our approach does not rely on the verification of logic statements. Rather, it utilises internal simulations which allow the robot to simulate actions and predict their consequences. Therefore, our method is a form of robotic imagery. To demonstrate the proposed architecture, we implement a version of this architecture on a humanoid NAO robot so that it behaves according to Asimov's laws of robotics. In a series of four experiments, using a second NAO robot as a proxy for the human, we demonstrate that the Ethical Layer enables the robot to prevent the human from coming to harm in simple test scenarios

Robo-ethics design approach for cultural heritage: Case study - Robotics for museum purpose

The thesis shows the study behind the design process and the realization of the robotic solution for museum purposes called Virgil. The research started with the literature review on museums management and the critic analysis of signi cant digital experiences in the museum eld. Then, it continues analyzing the museum and its relation with the territory and the cultural heritage. From this preliminary analysis stage, signi cant issue related to museum management analysis comes out: nowadays many museum areas are not accessible to visitors because of issues related to security or architectural barriers. Make explorable these areas is one of the important topics in the cultural debate related to the visiting experience. This rst stage gave the knowledge to develop the outlines which brought to the realization of an ef cient service design then realized following robot ethical design values. One of the pillars of the robot ethical design is the necessity to involve all the stakeholders in the early project phases, for this reason, the second stage of the research was the study of the empathic relations between museum and visitors. In this phase, facilitator factors of this relation are de ned and transformed into guidelines for the product system performances. To perform this stage, it has been necessary create a relation between all the stakeholders of the project, which are: Politecnico di Torino, Tim (Telecom Italia Mobile) JOL CRAB research laboratory and Terre dei Savoia which is the association in charge of the Racconiggi’s Castle, the context scenario of the research. The third stage of the research, provided the realization of a prototype of the robot, in this stage telepresence robot piloted the Museum Guide it is used to show, in real time, the inaccessible areas of the museum enriched with multimedia contents. This stage concludes with the nal test user, from the test session feedback analysis, many of people want to drive themselves the robot. To give an answer to user feedback an interactive game has been developed. The game is based both on the robot ability to be driven by the visitors and also on the capacity of the robot to be used as a platform for the digital telling. To be effective, the whole experience it has been designed and tested with the support of high school students, which are one of the categories less interested in the traditional museum visit. This experience wants to demonstrate that the conscious and ethical use of the robotic device is effectively competitive, in term of performances, with the other solutions of digital visit: because it allows a more interactive digital experience in addition to the satisfaction of the physical visit at the museum

Inteligência artificial e consciência fenoménica : quão perto estamos de máquinas conscientes?

A consciência é um fenómeno mal compreendido de sistemas biológicos com uma certa complexidade, e há quem sustente a possibilidade de poder vir a ser uma propriedade de determinados organismos artificiais. Alguns autores acreditam que pode emergir do substracto físico, ser uma ilusão ou um mero epifenómeno pelo que, teoricamente, nada obsta a que possa ser instanciada, uma vez compreendidos os mecanismos que a fazem surgir. Para outros, entre os quais me incluo, a instanciação da consciência em organismos artificiais não é possível, uns porque a consideram irredutível ao físico, outros porque a situam em planos transcendentais. Neste trabalho, para além de considerações gerais destinadas a situar o assunto, procuro abordar particularmente o conceito de consciência fenoménica, o chamado “problema duro”, o problema de saber como é que certas actividades neuronais aparecem internamente como experiência subjectiva, como qualia, à luz de diferentes teorias oriundas de vários campos da ciência. Para além das referências às principais teorias metafísicas, discuto com algum pormenor as mais relevantes teorias específicas da consciência, analiso modelos e implementações propostas pela Inteligência Artificial (IA) e pela Consciência Artificial (CA)1, discuto até que ponto se avançou, ou não, na simulação e na instanciação da consciência em organismos artificiais, e quais as principais objecções à sua instanciação e caracterização. Por fim são extraídas algumas conclusões que tentam responder à questão suscitada no título, partindo da ideia de que a consciência fenoménica não é processamento de informação, de uma intuição a priori2 de que não é uma propriedade emergente do substracto físico, e que talvez só seja possível em determinados organismos biológicos.Consciousness is a poorly understood phenomenon of both more and less complex biological systems, and there are those who defend the possibility that it may also become a property of certain artificial organisms. Some authors believe that consciousness can arise from the physical substrate, be an illusion or a mere epiphenomenon, so theoretically nothing prevents it from being implemented once the mechanisms that make it emerge are understood. For others, myself included, the implementation of consciousness in artificial organisms is not possible, either because it is considered to be irreducible to the physical, or because it is situated in transcendental order. In this work, in addition to general considerations aimed at placing the subject, I particularly seek to address the concept of phenomenic consciousness, the so-called "hard problem," the problem of how, in the light of different theories from various fields of science, certain neural activities appear internally as subjective experience, or qualia. In addition to references to the main metaphysical theories, I discuss in some detail the most relevant specific theories of consciousness, analyze models and implementations proposed by Artificial Intelligence and Artificial Consciousness, and discuss to what extent progress has been made in the simulation and instantiation of consciousness in artificial organisms, and what are the main objections to its instantiation and characterization. Finally, some conclusions are drawn in an attempt to answer the question raised in the title, starting from the idea that phenomenic consciousness is not a processing of information, and from an a priori intuition that it is not an emergent property of the physical substrate, and that perhaps it is only possible in certain biological organisms

Artificial general intelligence: Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA, March 6-9, 2009

Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI – to create broad human-like and transhuman intelligence, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. Due to the difficulty of this task, for the last few decades the majority of AI researchers have focused on what has been called narrow AI – the production of AI systems displaying intelligence regarding specific, highly constrained tasks. In recent years, however, more and more researchers have recognized the necessity – and feasibility – of returning to the original goals of the field. Increasingly, there is a call for a transition back to confronting the more difficult issues of human level intelligence and more broadly artificial general intelligence

Uma abordagem de consciência de máquina ao controle de semáforos de tráfego urbano

Orientador: Ricardo Ribeiro GudwinTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de ComputaçãoResumo: Neste trabalho, apresentamos uma arquitetura cognitiva distribuída usada para o controle de tráfego em uma rede urbana. Essa arquitetura se baseia em uma abordagem de consciência de máquina - Teoria do Workspace Global - de forma a usar competição e difusão em broadcast, permitindo que um grupo de controladores de tráfego locais interajam, resultando em melhor desempenho do grupo. A ideia principal é que controladores locais geralmente realizam um comportamento reativo, definindo os tempos de verde e vermelho do semáforo, de acordo com informações locais. Esses controladores locais competem de forma a definir qual deles está experienciando a situação mais crítica. O controlador nas piores condições ganha acesso ao workspace global, e depois realiza uma difusão em broadcast de sua condição (e sua localização) para todos os outros controladores, pedindo sua ajuda para lidar com sua situação. Essa chamada do controlador que acessa o workspace global causará uma interferência no comportamento local reativo, para aqueles controladores locais com alguma chance de ajudar o controlador na situação crítica, contendo o tráfego na sua direção. Esse comportamento do grupo, coordenado pela estratégia do workspace global, transforma o comportamento reativo anterior em uma forma de comportamento deliberativo. Nós mostramos que essa estratégia é capaz de melhorar a média do tempo de viagem de todos os veículos que fluem na rede urbana. Um ganho consistente no desempenho foi conseguido com o controlador "Consciência de Máquina" durante todo o tempo da simulação, em diferentes cenários, indo de 10% até maisde 20%, quando comparado ao controlador "Reativo Paralelo" sem o mecanismo de consciência artificial, produzindo evidência para suportar a hipótese de que um mecanismo de consciência artificial, que difunde serialmente em broadcast conteúdo para processos automáticos, pode trazer vantagens para uma tarefa global realizada por uma sociedade de agentes paralelos que operam juntos por uma meta comumAbstract: In this work, we present a distributed cognitive architecture used to control the traffic in an urban network. This architecture relies on a machine consciousness approach - Global Workspace Theory - in order to use competition and broadcast, allowing a group of local traffic controllers to interact, resulting in a better group performance.The main idea is that the local controllers usually perform a purely reactive behavior, defining the times of red and green lights, according just to local information. These local controllers compete in order to define which of them is experiencing the most critical traffic situation. The controller in the worst condition gains access to the global workspace, further broadcasting its condition (and its location) to all other controllers, asking for their help in dealing with its situation. This call from the controller accessing the global workspace will cause an interference in the reactive local behavior, for those local controllers with some chance in helping the controller in a critical condition, by containing traffic in its direction. This group behavior, coordinated by the global workspace strategy, turns the once reactive behavior into a kind of deliberative one. We show that this strategy is capable of improving the overall mean travel time of vehicles flowing through the urban network. A consistent gain in performance with the "Machine Consciousness" traffic signal controller during all simulation time, throughout different simulated scenarios, could be observed, ranging from around 10% to more than 20%, when compared to the "Parallel Reactive" controller without the artificial consciousness mechanism, producing evidence to support the hypothesis that an artificial consciousness mechanism, which serially broadcasts content to automatic processes, can bring advantages to the global task performed by a society of parallel agents working together for a common goalDoutoradoEngenharia de ComputaçãoDoutor em Engenharia Elétrica153206/2010-1CNPQCAPESFAPES