Philosophy Dictionary of ArgumentsHome
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| Brain emulation: Brain emulation in computer science refers to replicating brain functions and processes in digital form, aiming to simulate human cognitive abilities. See also Artificial Intelligence, Strong Artificial Intelligence, Human Level AI, Brain, Brain states._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||
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Nick Bostrom on Brain Emulation - Dictionary of Arguments
I 36 Brain Emulation/Bostrom: The whole brain emulation path does not require that we figure out how human cognition works or how to program an artificial intelligence. It requires only that we understand the low-level functional characteristics of the basic computational elements of the brain. No fundamental conceptual or theoretical breakthrough is needed for whole brain emulation to succeed. Whole brain emulation does, however, require some rather advanced enabling technologies. There are three key prerequisites: (1) scanning: high-throughput microscopy with sufficient resolution and detection of relevant properties; (2) translation: automated image analysis to turn raw scanning data into an interpreted three-dimensional model of relevant neurocomputational elements; and (3) simulation: hardware powerful enough to implement the resultant computational structure. I 39 In general, whole brain emulation relies less on theoretical insight and more on technological capability than artificial intelligence. Just how much technology is required required for whole brain emulation depends on the level of abstraction at which the brain is emulated. I 40 Goals: The aim is not to create a brain simulation so detailed and accurate that one could use it to predict exactly what would have happened in the original brain if it had been subjected to a particular sequence of stimuli. Instead, the aim is to capture enough of the computationally functional properties of the brain to enable the resultant emulation to perform intellectual work. For this purpose, much of the messy biological detail of a real brain is irrelevant. I 43 The emulation path will not succeed in the near future (within the next fifteen years, say) because we know that several challenging precursor technologies have not yet been developed._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition. |
Bostrom I Nick Bostrom Superintelligence. Paths, Dangers, Strategies Oxford: Oxford University Press 2017 |
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> Counter arguments against Bostrom
> Counter arguments in relation to Brain Emulation
Ed. Martin Schulz, access date 2024-04-27