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FE Clues to Simulated Reality and TFR

 
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FE Clues to Simulated Reality and TFR

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Nonlocal Mind and Collective Consciousness | Roger Nelson Ph.D. | Waking Cosmos
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Coherence is a fundamental resource in quantum information processing, which can be certified by a coherence witness. Due to the imperfection of measurement devices, a conventional coherence witness may lead to fallacious results

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Visual Coherence in Mixed Reality: A Systematic Enquiry


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Reality Volume Rendering of Original Optical Coherence Tomography Point-Cloud Data Enhanced With Real-Time Ray Casting
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Alex Schmid (2005)

What is the Truth of Simulation?

Journal of Artificial Societies and Social Simulation vol. 8, no. 4
< [link to jasss.soc.surrey.ac.uk]

For information about citing this article, click here

Received: 02-Oct-2005    Accepted: 02-Oct-2005    Published: 31-Oct-2005



Abstract

To understand the epistemological meaning of simulation, it does not suffice to interpret simulation practice and theory in the framework of philosophy of science alone. Theory, experiment, measurement and observation are important activities of the scientific method. But what regards an epistemological interpretation of simulation, philosophical truth theories allow gaining additional insights. This paper discusses philosophical truth theories — e.g. the correspondence, coherence and consensus theory — and relates them to simulation practice and methodology, focussing on validation.
Keywords:
Epistemology, Simulation, Truth Theories, Validation
Introduction

1.1
Simulation literature in philosophy of science and literature on validation never mention philosophical truth theories (e.g. Humphreys 2004; Sargent 2004), although validation is the "truth" topic in simulation. Why are established philosophical truth theories and their ultimate aim to understand the relation between the human mind, knowledge and reality, so much neglected in simulation theory?
1.2
Part of the answer might be the widespread sceptiscism wh [link to jasss.soc.surrey.ac.uk]
at regards the role of philosophy towards science, especially towards natural science. What exactly is that relation between philosophy and science or especially simulation, a newly established scientific research practice? One of the most important goals of the philosophy of science is to clarify the epistemological status of scientific knowledge, according to the philosophical definition of knowledge as a justified true belief (Ladyman 2002). Justification, truth and belief are the three cornerstones of modern epistemology. In this paper I will concentrate on the notion of truth since every modeller would agree that simulations at least should have something that is applicable to reality, to the things "out there", and therefore they should obviously include some degree of "truth". If a simulation has nothing to do with truth, then it might be a video game, but does certainly not deliver scientific knowledge. Validation is the specific procedure that is supposed to consider the "truthfulness" or applicability of a simulation model. But why should we consider philosophical "truth" instead of mere applicability or usefulness for a certain purpose that a client and a simulation expert may have in mind?
Truth and complexity

2.1
If simulations are known to capture complexity, making it more comprehensible, then — and this is my thesis — to just consider applicability for a certain system, or usefulness for a certain purpose does not do justice to the epistemological complexity of the simulation practice. What does applicability exactly mean? What kind of relation does applicability really establish between a model, a client and the target system? What correspondence of target system and model, what consensus of ideas, believes and common understandings shapes the usefulness of the simulation, and what coherence of scientific theories, axioms and deductions goes into the concept of applicability? It is obvious that with the application of the philosophical concept of truth we step one level deeper into the understanding of certain simulation assumptions and parts of the simulation process. I do not assume that this level of epistemological considerations should be a matter of everyday modelling and simulation. But if we want to understand the true epistemological complexity of simulation practice — the notion of "practice" itself points at the complexity of the simulation process — philosophical epistemology and the notion of truth in particular provide a sound basis to do so. If we stay in the framework of philosophy of science, of theory, experiment, hypothesis, observation and measurement we might not capture the underlying complexity.
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Archangel Michael, A New Cycle of Creation is In Progress


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Re: FE Clues to Simulated Reality and TFR
seeming simulation and likeness


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The Word: The Dictionary That Reveals the Hebrew Source of English
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Abbb/ SEMEL (image, likeness, SYMBOL, logos) is a SIMULATION. Deuteronomy 4:16 ... we should be SENTIENT of relatives in the SM families of SEEMING and SIMILARITY. In Chinese, zhen is a ...
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2020-02-01 Sri Ramana Center, Houston: discussion with Michael James on U&#7735;&#7735;adu N&#257;&#7775;padu verse 37



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Anonymous Coward
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02/04/2020 01:38 PM
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What is FE and TRF? PLease tell me it's not flat Earth and I'll watch the vid. hf
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Visualizing quaternions (4d numbers) with stereographic projection

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