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Conceptual system

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System composed of non-physical objects, i.e. ideas or concepts

Aconceptual system is asystem ofabstract concepts, of variouskinds.[A] The abstract concepts can range "from numbers, to emotions, and from social roles, to mental states ..".[A] These abstract concepts are themselves grounded in multiple systems.[A][a] Inpsychology, aconceptual system is an individual'smental model of the world; incognitive science the model is gradually diffused to thescientific community; in asociety the model can become aninstitution.[b] In humans, a conceptual system may be understood as kind of ametaphor for the world.[3] Abelief system is composed ofbeliefs;Jonathan Glover, following Meadows (2008)[a] suggests that tenets of belief, once held by tenants, are surprisingly difficult for the tenants to reverse, or to unhold, tenet by tenet.[14][15][9][10]

Example of aconceptual system:Earth and itsMoon (as seen fromMars).[c]

Thomas Nagel (1974) identified athought experiment for non-humans in "What is it like to be a bat?".[16]David Premack and Ann James Premack (1983) assert that some non-humans (such as apes) can understand anon-human language.[17]

The earliest activities in thedescription of language have been attributed to the6th-century-BC Indian grammarianPāṇini[18][19] who wrote aformal description of theSanskrit language in hisAṣṭādhyāyī (Devanagari अष्टाध्यायी).[20][21] Today, modern-day theories ongrammar employ many of the principles that were laid down then.[22]

In theformal sciences,formal systems can have anontological status independent of human thought, which cross acrosslanguages.Formal logical systems in a fixed formal language are an object of study.Logical forms can be objects in these formal systems.Abstract rewriting systems can operate on these objects.Axiomatic systems, andlogic systems build upon axioms, and upon logical rules respectively, for their rewriting actions.Proof assistants are finding acceptance in the mathematical community.[d]Artificial intelligence in machines andsystems need not be restricted to hardware, but can confer a relative advantage to theinstitutions that adopt it, and adapt to it.[25][e]Canonical forms in a suitable format and in acritical mass for acceptance can be monitored, commented upon, adopted, and applied bycooperating institutions in an upward spiral.SeeBest practice

In technology,Chiplets are tiny hardware subsystem implementations ofSoCs (systems on achip) which can be interconnected into larger, or more responsive surroundings.Packaging SoCs into small hardware multi-chip packages allows more effective functions which confer a competitive advantage in economics, wars, or politics.[26]

The global conveyor belt on a continuous-ocean map(animation) From: Wikipedia article onthermohaline circulation.

Thethermohaline circulation can occur from the deep oceans to the ocean's surface.[citation needed] But the waters can mix; the thermohaline circulation from surface of the ocean to the deep ocean occurs only in restricted parts of theworld ocean in a thousand-year cycle.[citation needed]

TheWilson Cycle is an explanation of the formation of theAtlantic Ocean; thesupercontinent cycles are a theory of the formation of supercontinentPangea (335 million years ago) and its predecessor supercontinentRodinia (1.2 billion years ago to 0.9 billion years ago).[citation needed]

See also

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Notes and references

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  1. ^abcThe theme of the issue onVarieties of abstract concepts (18 June 2018) is "grounded insensorimotor systems, linguistic, emotional, and social experiences".[1] Section 3a of the 5 Aug 2018 issue is "grounding of abstract concepts in multiple systems" (such associality,linguistics,perceptionaction,interoception, andmetacognitionSee figure 1).[1]
  1. ^abAnna M Borghi, Laura Barca, Ferdinand Binkofski, and Luca Tommolini(18 June 2018) "Varieties of abstract concepts: development, use, and representation in the brain"Philosophical Transactions of the Royal Society B Biological sciences, vol373 issue 1752 (5 Aug 2018)
  2. ^Hodgson (2015 p. 501),Journal of Institutional Economics (2015),11: 3, 497–505.
  3. ^Lakoff, George (1980)."The Metaphorical Structure of the Human Conceptual System".Cognitive Science.4 (2):195–208.doi:10.1207/s15516709cog0402_4.S2CID 8800759.
  4. ^Dana Meadows (1993)Thinking In Systems: A Primer
  5. ^Donella H. Meadows(1977) A Philosophical Look at System Dynamics 53:18
  6. ^Ashley HodgsonThinking in Systems, Key Ideas (Ch. 1)
  7. ^Ashley HodgsonThinking in Systems, Ch. 2: Types of System Dynamics 2a
  8. ^Ashley HodgsonThinking in Systems, Ch. 2, Part 2: Limiting Factors in Systems 2b
  9. ^abcAshley HodgsonThinking in Systems, Ch. 3: Resilience, Self-Organization and Hierarchy 3
  10. ^abcAshley HodgsonThinking in Systems, Ch. 4: Why Systems Surprise Us 4
  11. ^Ashley HodgsonThinking in Systems, Ch. 5: System Traps 5
  12. ^Ashley HodgsonThinking in Systems, Ch. 6: Leverage Points in Systems 6
  13. ^Ashley HodgsonThinking in Systems, Ch. 7: Living with Systems 7
  14. ^""Jonathan Glover on systems of belief", Philosophy Bites Podcast, Oct 9 2011".Archived from the original on 14 October 2011. Retrieved5 July 2014.
  15. ^Elizabeth A. Minton, Lynn R. Khale (2014).Belief Systems, Religion, and Behavioral Economics. New York: Business Expert Press LLC.ISBN 978-1606497043.Archived from the original on 22 December 2019. Retrieved30 April 2019.
  16. ^Thomas Nagel,"What is it like to be a bat?".Philosophical Review.LXXXIII (4):435–450. Oct 1974.doi:10.2307/2183914.JSTOR 2183914.
  17. ^Premack, David & Premack, Ann James. (1983)The Mind of an Ape, p. 13.ISBN 0-393-01581-5.
  18. ^Rens Bod (2014).A New History of the Humanities: The Search for Principles and Patterns from Antiquity to the Present. Oxford University Press.ISBN 978-0-19-966521-1.
  19. ^"Chapter VI: Sanskrit Literature".The Imperial Gazetteer of India. Vol. 2. 1908. p. 263.
  20. ^"Aṣṭādhyāyī 2.0".panini.phil.hhu.de.Archived from the original on 15 April 2021. Retrieved2021-02-27.
  21. ^S.C. Vasu (Tr.) (1996).The Ashtadhyayi of Panini (2 Vols.). Vedic Books.ISBN 978-81-208-0409-8.Archived from the original on 27 March 2014. Retrieved17 September 2012.
  22. ^Penn, Gerald; Kiparski, Paul."On Panini and the Generative Capacity of Contextualised Replacement Systems"(PDF).Proceedings of COLING 2012:943–950. Archived fromthe original(PDF) on 15 April 2021.
  23. ^abSiobhan RobertsThe New York Times(2 Jul 2023) AI is coming for Mathematics, Too
  24. ^abSiobhan RobertsThe New York Times (4 July 2023) "A Complex Equation": Artificial Intelligence Complicates the Equation pp. D1, D4
  25. ^Clark, Jack (2015b)."Why 2015 Was a Breakthrough Year in Artificial Intelligence".Bloomberg.com.Archived from the original on 23 November 2016. Retrieved23 November 2016.
  26. ^Breaking Defense(27 July 2023) How new modular chiplets in advanced semiconductors defend against dynamic threats
  1. ^abDonella H. Meadows (2008),Thinking In Systems: A Primer, also extant as unpublished notes: Dana Meadows (1993),Thinking In Systems: A Primer[4][5] Overview, in video clips: Chapter 1[6] Chapter 2, part 1[7] Chapter 2, part 2[8] Chapter 3[9] Chapter 4[10] Chapter 5[11] Chapter 6[12] Chapter 7[13]
  2. ^Geoffrey Hodgson calls institutions "integrated systems of rules that structure social interactions".[2]
  3. ^Earth and Moon form abinary system whosebarycenter lies within Earth itself. The effect on Earth's trajectory is observed as a "wobble" of an otherwise elliptical orbit of Earth around theSun.
  4. ^Large language models (LLMs) are allowing mathematicians to revisitmathematical proofs which they have already written. These LLMs are mechanical 'proof whiners'; the LLMs provide line-by-line feedback to the mathematicians, which highlight the parts of the proof which the mathematicians need to rewrite so that the proof assistants can get past roadblocks.[23] This deep introspection allows the mathematicians deeper insight into their proofs.[23][24]
  5. ^Meadows (2008)[9][10] noted that systems could be resilient, and surprising. They can display§emergent abilities which can confer a relative advantage, temporarily.Terence Tao noted that it helps when the robots are cute and non-threatening.[24]

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