References of "Dubois, Daniel"
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See detailAnticipatory Modeling and Simulation for Inter Regional Security
Dubois, Daniel ULg; Asproth, Viveca; Stig C, Holmberg et al

Conference (2012, April)

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See detailComment programmer un système neuronal avec un langage et une conscience ?
Dubois, Daniel ULg

in Acta Europeana Systemica (2011, December 07), 1

This communication deals with the question to know if this is possible to program a neural system with a language and a consciousness. There are several levels and categories of language, by example ... [more ▼]

This communication deals with the question to know if this is possible to program a neural system with a language and a consciousness. There are several levels and categories of language, by example, verbal and non-verbal languages, signs language, etc. There are also several levels and categories of consciousness, by example, verbal consciousness, non-verbal selfconsciousness, and absence of consciousness with the a-consciousness. By a systemic approach, we extend the role of the brain to the whole neural ectoderm, including the nervous systems, the brainstem, the brain, and the skin that is the actual envelope of the brain to the environment. This paper will demonstrate that such a neural system can be programmed, on the basis of scientific research in experimental neurosciences and in artificial intelligence, extending de facto all the possibilities of learning of classical neural networks. [less ▲]

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See detailIntelligence Naturelle et Intelligence Artificielle
Dubois, Daniel ULg

in Acta Europeana Systemica (2011, December 07), 1

This article presents a systemic approach to the concept of natural intelligence with the aim of creating an artificial intelligence. Thus, the natural intelligence, human and nonhuman animals, is a ... [more ▼]

This article presents a systemic approach to the concept of natural intelligence with the aim of creating an artificial intelligence. Thus, the natural intelligence, human and nonhuman animals, is a function composed of faculties to know and understand. In addition, natural intelligence is inseparable from the structure, namely the organs of the brain and body. The temptation is to equip computer systems with artificial intelligence that should have a function composed of the same faculties as those encompassed in human intelligence. The artificial intelligence must also remain inseparable from the structure, namely the organs of an artificial brain and an artificial body. As a result, the artificial robot is the ideal structure to see the emergence of a strong artificial intelligence. Note that a weak artificial intelligence is developed on computer systems by a simulation program of intelligence. In this paper, neural programmable memories will be presented and simulated [less ▲]

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See detailBreakthrough in the Human Decision Making Based on an Unconscious Origin of Free Will
Dubois, Daniel ULg

in Acta Systemica (2010), X(1), 13-18

This paper deals with a breakthrough in the concept of free will in the human decision making. It is assumed that the consciousness and unconsciousness show the same mind processes in the human brain. The ... [more ▼]

This paper deals with a breakthrough in the concept of free will in the human decision making. It is assumed that the consciousness and unconsciousness show the same mind processes in the human brain. The decision making initiates unconsciously in the human brain, and, eventually, becomes a conscious decision. So the free will is unconsciously prepared in the human brain. Then I conjecture that what is called the conscious human brain is just the enlightening of some parts of the unconscious human brain. [less ▲]

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See detailAnticipatory Mechanisms in Evolutionary Living Systems
Dubois, Daniel ULg; Holmberg, Stig C.

in Dubois, Daniel (Ed.) COMPUTING ANTICIPATORY SYSTEMS (2010)

This paper deals firstly with a revisiting of Darwin's theory of Natural Selection. Darwin in his book never uses the word “evolution”, but shows a clear position about mutability of species. Darwin's ... [more ▼]

This paper deals firstly with a revisiting of Darwin's theory of Natural Selection. Darwin in his book never uses the word “evolution”, but shows a clear position about mutability of species. Darwin's Natural Selection was mainly inspired by the anticipatory Artificial Selection by humans in domestication, and the Malthus struggle for existence. Darwin showed that the struggle for existence leads to the preservation of the most divergent offspring of any one species. He cited several times the canon of “Natura non facit saltum”. He spoke about the origin of life from some one primordial form, into which life was first breathed. Finally, Darwin made anticipation about the future researches in psychology. This paper cites the work of Ernst Mayr who was the first, after 90 years of an intense scientific debate, to present a new and stable Darwinian paradigm as the “Evolutionary Synthesis” in 1942. To explain what is life, the Living Systems Theory (LST) by J. G. Miller is presented. It is showed that the Autopoietic Systems Theory of Varela et al is also a fundamental component of living systems. In agreement with Darwin, the natural selection is a necessary condition for transformation of biological systems, but is not a sufficient condition. Thus, in this paper we conjecture that an anticipatory evolutionary mechanism exists with the genetic code that is a self-replicating and self-modifying anticipatory program. As demonstrated by Nobel laureate McClintock, evolution in genomes is programmed. The word “program” comes from “pro-gram” meaning to write before, by anticipation, and means a plan for the programming of a mechanism, or a sequence of coded instructions that can be inserted into a mechanism, or a sequence of coded instructions, as genes of behavioural responses, that is part of an organism. For example, cell death may be programmed by what is called the apoptosis. This definitively is a great breakthrough in our understanding of biological evolution. Hence, it is possible to formulate a new principle of evolution, i.e. the principle of Double Anticipatory Loop (DAL) of evolution: Biological evolution is driven by interaction between a mindless environment that is passively selecting the fittest inhabitants and purposeful anticipatory living systems, which are actively selecting and creating their own environment. Evolution on the genome level is trigged by environmental stress but guided by an inherent program. [less ▲]

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See detailDesign of an Algebraic Neural Operating System in Programmable Logical Controller for Simulation and Execution of Sequential Operations
Dubois, Daniel ULg; Mascia, Antonio

in International Journal of Computing Anticipatory Systems [=IJCAS] (2010), 25

This paper deals with a general method for the analysis and the logical generation of discrete systems in Programmable Logical Controller (PLC). The Boolean operators are implemented with a generic and ... [more ▼]

This paper deals with a general method for the analysis and the logical generation of discrete systems in Programmable Logical Controller (PLC). The Boolean operators are implemented with a generic and unique algebraic model as event-dependent discrete equations, which can be executed in a sequential order. With this method, a generator of sequential logical tables can be designed, simulated and executed for implementing discrete dynamical systems. Two applications are studied. The first application deals with the industrial automation of a water supply for a factory. From the logical table of the events, an algebraic model is designed with a set of discrete equations. From these digital equations, a neural network of the water supply is built. The second application deals with an industrial traveling wagon. [less ▲]

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See detailIntroduction to the Natural Anticipator and the Artificial Anticipator
Dubois, Daniel ULg

in Dubois, Daniel (Ed.) COMPUTING ANTICIPATORY SYSTEMS (2010)

This short communication deals with the introduction of the concept of anticipator, which is one who anticipates, in the framework of computing anticipatory systems. The definition of anticipation deals ... [more ▼]

This short communication deals with the introduction of the concept of anticipator, which is one who anticipates, in the framework of computing anticipatory systems. The definition of anticipation deals with the concept of program. Indeed, the word program, comes from “pro-gram” meaning "to write before" by anticipation, and means a plan for the programming of a mechanism, or a sequence of coded instructions that can be inserted into a mechanism, or a sequence of coded instructions, as genes or behavioural responses, that is part of an organism. Any natural or artificial programs are thus related to anticipatory rewriting systems, as shown in this paper. All the cells in the body, and the neurons in the brain, are programmed by the anticipatory genetic code, DNA, in a low-level language with four signs. The programs in computers are also computing anticipatory systems. It will be shown, at one hand, that the genetic code DNA is a natural anticipator. As demonstrated by Nobel laureate McClintock [8], genomes are programmed. The fundamental program deals with the DNA genetic code. The properties of the DNA consist in self-replication and self-modification. The self-replicating process leads to reproduction of the species, while the self-modifying process leads to new species or evolution and adaptation in existing ones. The genetic code DNA keeps its instructions in memory in the DNA coding molecule. The genetic code DNA is a rewriting system, from DNA coding to DNA template molecule. The DNA template molecule is a rewriting system to the Messenger RNA molecule. The information is not destroyed during the execution of the rewriting program. On the other hand, it will be demonstrated that Turing machine is an artificial anticipator. The Turing machine is a rewriting system. The head reads and writes, modifying the content of the tape. The information is destroyed during the execution of the program. This is an irreversible process. The input data are lost. [less ▲]

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See detailNatural and Artificial Intelligence, Language, Consciousness, Emotion, and Anticipation
Dubois, Daniel ULg

in Dubois, Daniel (Ed.) COMPUTING ANTICIPATORY SYSTEMS (2010)

The classical paradigm of the neural brain as the seat of human natural intelligence is too restrictive. This paper defends the idea that the neural ectoderm is the actual brain, based on the development ... [more ▼]

The classical paradigm of the neural brain as the seat of human natural intelligence is too restrictive. This paper defends the idea that the neural ectoderm is the actual brain, based on the development of the human embryo. Indeed, the neural ectoderm includes the neural crest, given by pigment cells in the skin and ganglia of the autonomic nervous system, and the neural tube, given by the brain, the spinal cord, and motor neurons. So the brain is completely integrated in the ectoderm, and cannot work alone. The paper presents fundamental properties of the brain as follows. Firstly, Paul D. MacLean proposed the triune human brain, which consists to three brains in one, following the species evolution, given by the reptilian complex, the limbic system, and the neo-cortex. Secondly, the consciousness and conscious awareness are analysed. Thirdly, the anticipatory unconscious free will and conscious free veto are described in agreement with the experiments of Benjamin Libet. Fourthly, the main section explains the development of the human embryo and shows that the neural ectoderm is the whole neural brain. Fifthly, a conjecture is proposed that the neural brain is completely programmed with scripts written in biological low-level and high-level languages, in a manner similar to the programmed cells by the genetic code. Finally, it is concluded that the proposition of the neural ectoderm as the whole neural brain is a breakthrough in the understanding of the natural intelligence, and also in the future design of robots with artificial intelligence. [less ▲]

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See detailTime-Symmetric Discretization of the Harmonic Oscillator
Antippa, Adel F.; Dubois, Daniel ULg

in Dubois, Daniel (Ed.) COMPUTING ANTICIPATORY SYSTEMS (2010)

We explicitly and analytically demonstrate that simple time-symmetric discretization of the harmonic oscillator (used as a simple model of a discrete dynamical system), leads to discrete equations of ... [more ▼]

We explicitly and analytically demonstrate that simple time-symmetric discretization of the harmonic oscillator (used as a simple model of a discrete dynamical system), leads to discrete equations of motion whose solutions are perfectly stable at all time scales, and whose energy is exactly conserved. This result is important for both fundamental discrete physics, as well as for numerical analysis and simulation. [less ▲]

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See detailDiscrete Harmonic Oscillator: Evolution of Notation and Cumulative Erratum
Antippa, Adel F.; Dubois, Daniel ULg

in Dubois, Daniel (Ed.) COMPUTING ANTICIPATORY SYSTEMS (2010)

As the project on the discrete harmonic oscillator advanced, the notation evolved in parallel with our understanding of the problem, and it became progressively clear that a change of notation concerning ... [more ▼]

As the project on the discrete harmonic oscillator advanced, the notation evolved in parallel with our understanding of the problem, and it became progressively clear that a change of notation concerning the natural angular frequency of oscillation of the system, and related parameters, was required in order to conform to the spirit of the physics being developed. Specifically the notation needed to reflect the fact that the discrete harmonic oscillator is the more general entity, with the continuous harmonic oscillator being a special (and to some extent unrealistic) limiting case corresponding to dt-->0, where dt is the discretizing time interval. Furthermore, as the discrete nature of time (and eventually space), incursion (anticipation), system bifurcation, hyperincursion, frequency dependent correlation, and synchronization, where progressively integrated into the fabric of the discretizing algorithm, a new discrete, perfectly stable and energy conserving, formalism emerged, and with it evolved, in parallel, the expression for the total energy. In this short note we will focus on the evolution, throughout the project, of the notation for frequency, and the expression for the discrete total energy. We also provide a cumulative erratum for the seven papers in the project so far, as well as a table summarizing the evolution of the notation for the angular frequency and related parameters. [less ▲]

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See detailDiscrete Harmonic Oscillator: A Short Compendium of Formulas
Antippa, Adel F.; Dubois, Daniel ULg

in Dubois, Daniel (Ed.) COMPUTING ANTICIPATORY SYSTEMS (2010)

Since 2002, we have, in seven papers, studied the problem of the discrete harmonic oscillator, analytically, numerically, and graphically, and made progress on a number of fronts. We identified the ... [more ▼]

Since 2002, we have, in seven papers, studied the problem of the discrete harmonic oscillator, analytically, numerically, and graphically, and made progress on a number of fronts. We identified the natural frequency of oscillation of the dual incursive oscillators, studied the system bifurcation generated by incursive discretization, and the frequency dependent correlation between the resulting incursive oscillators. We also studied the synchronization of the discretizing time interval with the frequency of oscillation. From this analysis there emerged a nonlinear (or more precisely bilinear) formalism that is perfectly stable at all time scales, and fully conserves the total energy of the system. The formalism is applicable to the discrete harmonic oscillator specifically, and to discrete Hamiltonian systems in general. In retrospect the important themes and crucial steps can more easily be identified, and this is the purpose of this short note. In it we give, in a unified notation, a short compendium of the key formulas. This summary can serve as a guide for navigating through the seven papers, as well as a practical concise manual for using the formalism. [less ▲]

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See detailAnticipatory Artificial Autopoiesis
Dubois, Daniel ULg; Holmberg, Stig C.

in Trappl, Robert (Ed.) CYBERNETICS AND SYSTEMS 2010 (2010)

In examining relationships between autopoiesis and anticipation in artificial life (Alife) systems it is demonstrated that anticipation may increase efficiency and viability in artificial autopoietic ... [more ▼]

In examining relationships between autopoiesis and anticipation in artificial life (Alife) systems it is demonstrated that anticipation may increase efficiency and viability in artificial autopoietic living systems. This paper, firstly, gives a review of the Varela et al [1974] automata algorithm of an autopoietic living cell. Some problems in this algorithm must be corrected. Secondly, a new and original anticipatory artificial autopoiesis algorithm for automata is presented. In our automata system, the asymmetric membrane of the self-creating living cell plays a central role. The simulation confirms the validity of our algorithm in showing its autopoietic properties. [less ▲]

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See detailAdaptive and Rational Anticipations in Risk Management Systems and Economy
Dubois, Daniel ULg; Holmberg, Stig C.

in Dubois, Daniel (Ed.) COMPUTING ANTICIPATORY SYSTEMS (2010)

The global financial crisis of year 2009 is explained as a result of uncoordinated risk management decisions in business firms and economic organisations. The underlying reason for this can be found in ... [more ▼]

The global financial crisis of year 2009 is explained as a result of uncoordinated risk management decisions in business firms and economic organisations. The underlying reason for this can be found in the current financial system. As the financial market has lost much of its direct coupling to the concrete economy it provides misleading information to economic decision makers at all levels. Hence, the financial system has moved from a state of moderate and slow cyclical fluctuations into a state of fast and chaotic ones. Those misleading decisions can further be described, but not explained, by help of adaptive and rational expectations from macroeconomic theory. In this context, AE, the Adaptive Expectations are related to weak passive Exo-anticipation, and RE, the Rational expectations can be related to a strong, active and design oriented anticipation. The shortcomings of conventional cures, which builds on a reactive paradigm, have already been demonstrated in economic literature and are here further underlined by help of Ashby's “Law of Requisite Variety”, Weaver's distinction between systems of “Disorganized Complexity” and those of “Organized Complexity”, and Klir's “Reconstructability Analysis”. Anticipatory decision-making is hence here proposed as a replacement to current expectation based and passive risk management. An anticipatory model of the business cycle is presented for supporting that proposition. The model, which is an extension of the Kaldor-Kalecki model, includes both retardation and anticipation. While cybernetics with the feedback process in control system deals with an explicit goal or purpose given to a system, the anticipatory system discussed here deals with a behaviour for which the future state of the system is built by the system itself, without explicit goal. A system with weak anticipation is based on a predictive model of the system, while a system with strong anticipation builds its own future by itself. Numerical simulations on computer confirm the feasibility of this approach. Hence, functional differential equations with both retardation and anticipation are found to be useful tools for modelling financial systems. [less ▲]

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See detailA General Method for the Analysis and the Logical Generation of Discrete Mathematical Systems in Programmable Logical Controller
Dubois, Daniel ULg; Mascia, Antonio

in Trappl, Robert (Ed.) CYBERNETICS AND SYSTEMS 2010 (2010)

This paper deals with a general method for the analysis and the logical generation of discrete systems in Programmable Logical Controller (PLC). The Boolean operators are implemented with a generic and ... [more ▼]

This paper deals with a general method for the analysis and the logical generation of discrete systems in Programmable Logical Controller (PLC). The Boolean operators are implemented with a generic and unique algebraic model as event-dependent discrete equations, which can be executed in a sequential order. With this method, a generator of sequential logical tables can be designed, simulated and executed for implementing discrete dynamical systems. The purpose of this research is to design self-rewrite operating systems in PLC, which automatically checks the logic of the implemented discrete dynamical systems, for simulation and execution of sequential operations. [less ▲]

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See detailCOMPUTING ANTICIPATORY SYSTEMS, CASYS'09 - Ninth International Conference, Liège, Belgium, 3-8 August 2009
Dubois, Daniel ULg

Book published by American Institute of Physics (2010)

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See detailSimulation Based Decision Processes for Territorial Security
Dubois, Daniel ULg; Asproth, Viveca; Holmberg, Stig et al

in Kljajic, Miroljub; Lasker, George (Eds.) ADVANCES in SIMULATION-BASED DECISION SUPPORT (2010)

Planning for regional security and crisis management is identified as a multi layered system. Delays, however, have manifested themselves as a common property of such systems. This means that an action on ... [more ▼]

Planning for regional security and crisis management is identified as a multi layered system. Delays, however, have manifested themselves as a common property of such systems. This means that an action on one level will cause surprising impacts on the others, but first after some retardation. Fortunately, with help of anticipatory modelling and computer simulation it is possible to demonstrate the effects of those complex inter level interactions. As an example, it is found that longer delays tend to increase the instability of the system, with great fluctuations as a consequence. An anticipation factor, however, may help to counteract those fluctuations. [less ▲]

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See detailNew Trends in Computing Anticipatory Systems : Emergence of Artificial Conscious Intelligence with Machine Learning Natural Language
Dubois, Daniel ULg

in Dubois, Daniel (Ed.) COMPUTING ANTICIPATORY SYSTEMS (2008)

This paper deals with the challenge to create an Artificial Intelligence System with an Artificial Consciousness. For that, an introduction to computing anticipatory systems is presented, with the ... [more ▼]

This paper deals with the challenge to create an Artificial Intelligence System with an Artificial Consciousness. For that, an introduction to computing anticipatory systems is presented, with the definitions of strong and weak anticipation. The quasi-anticipatory systems of Robert Rosen are linked to open-loop controllers. Then, some properties of the natural brain are presented in relation to the triune brain theory of Paul D. MacLean, and the mind time of Benjamin Libet, with his veto of the free will. The theory of the hyperincursive discrete anticipatory systems is recalled in view to introduce the concept of hyperincursive free will, which gives a similar veto mechanism: free will as unpredictable hyperincursive anticipation The concepts of endo-anticipation and exo-anticipation are then defined. Finally, some ideas about artificial conscious intelligence with natural language are presented, in relation to the Turing Machine, Formal Language, Intelligent Agents and Mutli-Agent System. [less ▲]

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