26,815 research outputs found
Making Sense of the Mental Universe
In 2005, an essay was published in Nature asserting that the universe is mental and that we
must abandon our tendency to conceptualize observations as things. Since then, experiments have confirmed that — as predicted by quantum mechanics — reality is contextual, which contradicts at least intuitive formulations of realism and corroborates the hypothesis of a mental universe. Yet, to give this hypothesis a coherent rendering, one must explain how a mental universe can — at least in principle — accommodate (a) our experience of ourselves as distinct individual minds sharing a world beyond the control of our volition; and (b) the empirical fact that this world is contextual despite being seemingly shared. By combining a modern formulation of the ontology of idealism with the relational interpretation of quantum mechanics, the present paper attempts to provide a viable explanatory framework for both points. In the process of doing so, the paper also addresses key philosophical qualms of the relational interpretation
Smoothing and filtering with a class of outer measures
Filtering and smoothing with a generalised representation of uncertainty is
considered. Here, uncertainty is represented using a class of outer measures.
It is shown how this representation of uncertainty can be propagated using
outer-measure-type versions of Markov kernels and generalised Bayesian-like
update equations. This leads to a system of generalised smoothing and filtering
equations where integrals are replaced by supremums and probability density
functions are replaced by positive functions with supremum equal to one.
Interestingly, these equations retain most of the structure found in the
classical Bayesian filtering framework. It is additionally shown that the
Kalman filter recursion can be recovered from weaker assumptions on the
available information on the corresponding hidden Markov model
Towards a quantum evolutionary scheme: violating Bell's inequalities in language
We show the presence of genuine quantum structures in human language. The
neo-Darwinian evolutionary scheme is founded on a probability structure that
satisfies the Kolmogorovian axioms, and as a consequence cannot incorporate
quantum-like evolutionary change. In earlier research we revealed quantum
structures in processes taking place in conceptual space. We argue that the
presence of quantum structures in language and the earlier detected quantum
structures in conceptual change make the neo-Darwinian evolutionary scheme
strictly too limited for Evolutionary Epistemology. We sketch how we believe
that evolution in a more general way should be implemented in epistemology and
conceptual change, but also in biology, and how this view would lead to another
relation between both biology and epistemology.Comment: 20 pages, no figures, this version of the paper is equal to the
foregoing. The paper has meanwhile been published in another book series than
the one tentatively mentioned in the comments given with the foregoing
versio
How Events Come Into Being: EEQT, Particle Tracks, Quantum Chaos, and Tunneling Time
In sections 1 and 2 we review Event Enhanced Quantum Theory (EEQT). In
section 3 we discuss applications of EEQT to tunneling time, and compare its
quantitative predictions with other approaches, in particular with
B\"uttiker-Larmor and Bohm trajectory approach. In section 4 we discuss quantum
chaos and quantum fractals resulting from simultaneous continuous monitoring of
several non-commuting observables. In particular we show self-similar,
non-linear, iterated function system-type, patterns arising from quantum jumps
and from the associated Markov operator. Concluding remarks pointing to
possible future development of EEQT are given in section 5.Comment: latex, 27 pages, 7 postscript figures. Paper submitted to Proc.
Conference "Mysteries, Puzzles And Paradoxes In Quantum Mechanics, Workshop
on Entanglement And Decoherence, Palazzo Feltrinelli, Gargnano, Garda Lake,
Italy, 20-25 September, 199
Artificial Intelligence in the Context of Human Consciousness
Artificial intelligence (AI) can be defined as the ability of a machine to learn and make decisions based on acquired information. AI’s development has incited rampant public speculation regarding the singularity theory: a futuristic phase in which intelligent machines are capable of creating increasingly intelligent systems. Its implications, combined with the close relationship between humanity and their machines, make achieving understanding both natural and artificial intelligence imperative. Researchers are continuing to discover natural processes responsible for essential human skills like decision-making, understanding language, and performing multiple processes simultaneously. Artificial intelligence attempts to simulate these functions through techniques like artificial neural networks, Markov Decision Processes, Human Language Technology, and Multi-Agent Systems, which rely upon a combination of mathematical models and hardware
Bell's Theorem and Locally-Mediated Reformulations of Quantum Mechanics
Bell's Theorem rules out many potential reformulations of quantum mechanics,
but within a generalized framework, it does not exclude all "locally-mediated"
models. Such models describe the correlations between entangled particles as
mediated by intermediate parameters which track the particle world-lines and
respect Lorentz covariance. These locally-mediated models require the
relaxation of an arrow-of-time assumption which is typically taken for granted.
Specifically, some of the mediating parameters in these models must
functionally depend on measurement settings in their future, i.e., on input
parameters associated with later times. This option (often called
"retrocausal") has been repeatedly pointed out in the literature, but the
exploration of explicit locally-mediated toy-models capable of describing
specific entanglement phenomena has begun only in the past decade. A brief
survey of such models is included here. These models provide a continuous and
consistent description of events associated with spacetime locations, with
aspects that are solved "all-at-once" rather than unfolding from the past to
the future. The tension between quantum mechanics and relativity which is
usually associated with Bell's Theorem does not occur here. Unlike conventional
quantum models, the number of parameters needed to specify the state of a
system does not grow exponentially with the number of entangled particles. The
promise of generalizing such models to account for all quantum phenomena is
identified as a grand challenge.Comment: 61 pages, 2 figures; accepted for publication by Rev. Mod. Phy
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