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Principles of an Accurate Decision and Sense-Making for Virtual Minds

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Engineering Artificially Intelligent Systems

Abstract

We start from the notion of cognitive context to define rich knowledge interactions between virtual agents according to virtual representations of our living societies. It turns out that such a modeling attempt leads naturally to emphasize the notion of a virtual mind. The common support is the keyword cognition which, at first, is understood as a simple machine-learning loop process and because of conflictuality between collective and individual subjective representations will lead to define finally, thanks to negation, a decision mechanism supported by virtual awareness. To be aware is a sense-making process annihilating virtual collective forces attracting a virtual agent towards a virtual collective mind having a virtual mass. That way, quantum physics and relativity can illustrate our discourse according to the following goal: how a machine can decide or equivalently are we able to define a decision algorithm which always terminates?

To do so, we must relax the deductive burden since we have to deal seriously with infinity causing unsolvable termination issues for proof systems when a decision is implemented as a proof. We prefer to investigate on hypercomplex representations of a decision to propose a sketch of the decision process, to represent both causality and acausality (as a conjugated version of causality) and to recover that way some symmetries able to encode a smooth negation with infinite precision applying on coherent spaces.

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Notes

  1. 1.

    Wave-particle duality is the concept in quantum mechanics that every particle or quantum entity may be described as either a particle or a wave. Each separated representation cannot fully explains the phenomena of light, but together they do.

  2. 2.

    In quantum mechanics, wave function collapse occurs when a wave function, initially in a superposition of several eigenstates, reduces to a single eigenstate due to interaction with the external world.

  3. 3.

    A topological space \(X\) is Hausdorff if for every \(x,y \, \in \, X, x \, \not = \, y\), there are open neighbourhoods \(\mathcal{O}_{x} \, \ni \, {x}, \mathcal{O}_{y} \, \ni \, {y}\) so that \(\mathcal{O}_{x} \, \cap \, \mathcal{O}_{y} = \emptyset \).

  4. 4.

    Negentropy of a dynamically ordered sub-system as the specific entropy deficit of the ordered sub-system relative to its surrounding chaos.

  5. 5.

    The nilpotent process thus fixes primarily on conservation, rather than nonconservation. It says that mass-energy is a conserved quantity, and that it can, therefore, be described uniquely in mathematical terms.

  6. 6.

    A quadratic form is said to be isotropic if there is a non-zero vector on which the norm evaluates to zero.

  7. 7.

    In statistics, the frequency of an event \(_{*}\nu \) is the number of times it is counted in an experiment.

  8. 8.

    The tesseract is the four-dimensional analog of the cube where motion in the fourth dimension represents the transformations of the cube through time.

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Correspondence to Olivier Bartheye .

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Bartheye, O., Chaudron, L. (2021). Principles of an Accurate Decision and Sense-Making for Virtual Minds. In: Lawless, W.F., Llinas, J., Sofge, D.A., Mittu, R. (eds) Engineering Artificially Intelligent Systems. Lecture Notes in Computer Science(), vol 13000. Springer, Cham. https://doi.org/10.1007/978-3-030-89385-9_16

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  • DOI: https://doi.org/10.1007/978-3-030-89385-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89384-2

  • Online ISBN: 978-3-030-89385-9

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