• My interest

    How to build a new kind of information processing. You will no longer need programming languages as we know them.

    During my PHD Thesis (2003-2007), supervised by Pr. Alain Cardon in LIP6 from P6, I developed a system based on an ontology of making self-assessment decisions, that allows one to generate models in real-time. This discovery is as a master algorithm to control machines at a knowledge level (A. Newell). It is a possible core to the development of an artificial consciousness.

     

    I address the artificial consciousness problem with a philosophical and constructivist approach. The goal is not to copy the human nervous system or implement a specific cognitive model but to work on this question: what are humans capable of doing thanks to their consciousness? The main goal is to build a system capable of generating questions itself, and behaving according to its assumptions in the real world. To resume, build an artificial consciousness, not a Human artificial consciousness.

     

    Why to build an artificial consciousness ? We have cognitive system services thanks to IBM and Microsoft, we have deep learning tools  thanks to Google and a batch of brillant scientists. But these discoveries don't solve the fact that a human is able to transposing a solution of a problem to a different problem, a human doesn't need to learn 30 millions of patterns to do something. That is to say there is a way to use less energy to solve problems and there is a way to fully control in real-time what an autonomous system does and what will it do instead of a black box like a deep neural network.

  • Download My PHD Thesis in french

    Système auto-adaptatif générique pour le contrôle de robots ou d'entités logicielles

  • Publications

    26 papers including 3 re-editions in journals or books.

    Journals with blind review

    1. Testing the attention capacities of a complex auto-adaptive system: a Stroop Task simulation, O. Larue, P. Poirier, M. Camus. Journal of Experimental and Theoretical Artificial Intelligence (JETAI 2011).
    2. Knowledge Organization Using Shapes Extraction from Web Pages in an Auto-Adaptive System, C. Havas, O. Larue and M. Camus. WSEAS Transaction on Systems, Issue 5, Volume 7, Included in ISI/SCI Web of Science and Web of Knowledge, May 2008.
    3. Emotions Generation  and Knowledge  Organization in an Auto-Adaptative System using Shape and Color Recognition,  C. Havas, O. Larue and M. Camus.  Applied Computer & Applied Computational Science 2008 (ACACOS'08), Invited paper, WSEAS Transactions and NAUN journal, a springer verlag volume, Included in ISI/SCI Web of Science and Web of Knowledge, China, 2008.
    4. Generic Simulator Environment for Realistic Simulation - Autonomous Entity Proof and Emotion in Decision Making. M.Camus and N. El Kadhi in Journal of Systemics, Cybernetics and Informatics, Volume 2, Number 2, 2004.

    Book Chapters

    1. Towards emotional decision-making, M. Camus, A. Cardon. Innovative Concepts for Autonomic and Agent-Based Systems, NASA Goddard Space Flight Center, september 2005, LNAI 3825, Springer, 2007.
    2. A self-adapting system generating intentional behavior and emotions, A. Cardon, J.C. Campagne, M. Camus. Innovative Concepts for Autonomic and Agent-Based Systems, NASA Goddard Space Flight Center, september 2005, LNAI 3825, Springer, 2007.

    Conferences with blind peer review

    1. Simulating cognitive phenomena with a symbolic dynamical system, O. Larue, P. Poirier, M. Camus. 20TH Annual Conference on Behavior Representation in Modeling Simulation (BRIMS 2011).
    2. Testing the attention capacities of a complex auto-adaptive system: a Stroop Task simulation, O. Larue, M. Camus, P. Poirier. The 23rd International FLAIRS Conference, special track Cognition and AI: Capturing Cognitive Plausibility and Informing Psychological Processes, Daytona Beach, Florida, USA, May 19-21 2010.
    3. Knowledge Extraction from Web Pages with an Auto-Adaptive System, C. Havas, O. Larue and M. Camus. Invited Speaker, 12th CSCC, Included in ISI/SCI Web of Science and Web of Knowledge, Heraklion, Crete, Greece, July 22-25,2008.
    4. Morphology Programming with an Auto-Adaptive System, M. Camus. Invited paper, accepted as Research Report at the 2008 International Conference on Artificial Intelligence, ICAI'08, WorldComp'08, Las Vegas, Nevada, USA, 2008.
    5. Emotions Generation  and Knowledge  Organization in an Auto-Adaptative System using Shape and Color Recognition,  C. Havas, O. Larue and M. Camus.  Applied Computer & Applied Computational Science 2008 (ACACOS'08), Invited paper, WSEAS Transactions and NAUN journal, a springer verlag volume, Included in ISI/SCI Web of Science and Web of Knowledge, China, 2008.
    6. Knowledge organization with pattern recognition in an auto-adaptative system, C. Havas, O. Larue and M. Camus. Artificial Intelligence, Knowledge Engineering and Data Bases 2008 (AIKED'08), Included in ISI/SCI Web of Science and Web of Knowledge, University of Cambridge (UK), 2008.
    7. An adaptive system to control robots: ontology distribution and treatment, M. Camus, A. Cardon. The 6th WSEAS International Conference on Simulation, Modeling and Optimization, Included in ISI/SCI Web of Science and Web of Knowledge, Lisbon, Portugal, September 22-24, 2006.
    8. Dynamic programming for robot control in real-time: towards a morphology programming, M. Camus, A. Cardon. The 2006 International Conference on Artificial Intelligence. Monte Carlo Resort, Las Vegas, Nevada, USA, 2006.
    9. FOURMIS RDNFS, Redundant Distributed Network File System,Y. Torrent, F. Heng ngi, C. Franco, M. Camus, F. Daira, N. Daira, B. Ferrier, S. Valsemey. SCI 2004, Orlando, Florida, 2004.
    10. Generic Simulator Environment for Realistic Simulation. M. Camus and N. El Kadhi, Best paper SCI 2003, Orlando Florida, 2003.
    11. Collecte d'informations pertinentes et sécurisés sur Internet. M. Camus, L. Auroux, D. Gousseau: SECI02, Tunis. Organiser par le CCK (Tunisie) et l’INRIA (France), 2002.

    Workshops with blind peer review

    1. Towards emotional decision-making, M. Camus, A. Cardon,Second GSFC/IEEE WRAC 2005 : Workshop on Radical Agent Concept, NASA Goddard Space Flight Center, 2005.
    2. A self-adapting system generating intentional behavior and emotions, A. Cardon, J.C. Campagne, M. Camus, Second GSFC/IEEE WRAC 2005 : Workshop on Radical Agent Concept, NASA Goddard Space Flight Center, 2005.
    3. Autonomous Systems for Space Missions: An Application with Athena, M. Camus. Axlog ingenierie, ESA, NASA, Netherlands, October 2002.

    PHD thesis and Misc

    1. Système auto-adaptatif générique pour le contrôle de robots ou d'entités logicielles, M. Camus, Université Pierre et Marie Curie, thèse de doctorat, 2007.
    2. Simulation Réaliste et Traitement Intelligent, M. Camus, rapport d'avancement, LIP6 UMR 7606 - UPMC, 2005.
    3. Thesis proposal: Simulation Réaliste et Traitement Intelligent, M. Camus, LIP6/CNRS , 2003.
    4. MISURE - MIssion management System for Uninhabited aiR vEhicles and new techniques : PLANIFICATION ANYTIME, M. Camus, Technical report, {Epitech.},  mémoire de fin d'étude, 2002.
    5. Incubation Assistée par Ordinateur, P. Terrand, M. Camus, M. Bordeau, in ``Le Peuple Migrateur'', Galatée Film, 2001.
    6. Serveur de synchronisation pour application mobile, M. Camus, Technical report, Inexware R&D, 2000.
  • The Blog

    Science, engineering and other subtleties

  • Symbolic System

    Artificial Brain GUI: COntrol an aibo

  • Portfolio

    I created and developed, with great teams, some technologies, this is a selection..

    A robot in the cloud (2011-2015)

    Daneel is a cognitive system built with a goal-oriented organizational memory. The entire mechanism of this system follows the laws of an auto-adaptive system. These laws give plasticity and dynamism to the intelligent system. These features are crucial for managing different abstraction layers in a symbolic system. Multiple contexts and different meanings are taken in account when users discuss with Daneel. Whatever the user is asking, Daneel uses its own knowledge to answer or to discuss with the user using a natural language. We are in an industrial transition: in this new era, developers will program some behaviour, which will integrate in a cognitive system, instead of programming some applications put in a global market. That’s mean that data are merged with algorithms: we work at the knowledge level.

    Create some crazy projects and work with awesome students (2002-2008)

    Courses: Artificial Intelligence (expert systems, neural networks, multi-agent system, genetic algorithm and game theory), Concurrent Programming and Kernel Programming.

    • Gomoku game for the game theory and the multi-agent systems
    • Expert system generator
    • Fingerprint recognition software for the neural networks
    • Simulation software for the genetic algorithm
    • Linguistic bot for the concurrent programming
    • Kernel programming: a memory allocation by network, a trigger for a file system, a new system call in the operating system
    • Design and development of a micro-kernel: bootstrap, virtual memory, scheduler. All these features on a x86 CPU architecture.

    Manage birds birth in real-time (1998-2001)

    The AIS is an Artificial Incubation Software to manage birth of multiple species in real-time. Plugged to a calliper, a balance and an ontology, this software allowed the expert to control the birth rate of multiple species.

  • drop me a message

    If you have any questions about Artificial Consciousness or Master Algorithm

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