To build a machine that can learn

preprint OA: closed
Full text JSON View at publisher

Abstract

A key requirement for building a machine that can learn is to understand the process by which living beings learn and adapt to their surroundings. This article looks at the process by which living beings adapt to their surroundings.
Full text 9,663 characters · extracted from preprint-html · click to expand
To build a machine that can learn | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 15 January 2025 V1 Latest version Share on To build a machine that can learn Author : Eldo Mohan Ranjit 0009-0007-0770-8457 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.173697394.40082834/v1 165 views 54 downloads Contents Abstract Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract A key requirement for building a machine that can learn is to understand the process by which living beings learn and adapt to their surroundings. This article looks at the process by which living beings adapt to their surroundings. To build a machine that can learn by Eldo Mohan Ranjit Aptitude Trainer Affiliated to the Dept. of Placement and Training, JIIT, Noida, India Grover House, Opp: Eriyat Cycle Shop, Main Road, Tripunithura, Ernakulam, Kerala, India Pin 682301 Ph +91 9746177586, +91 9846545733, [email protected] not-yet-known not-yet-known not-yet-known unknown Abstract A key requirement for building a machine that can learn is to understand the process by which living beings learn and adapt to their surroundings. This article looks at the process by which living beings adapt to their surroundings. Molecular structure as a set of information The behavior of each and every entity in the universe is determined by its molecular structure. For example, the way in which water reacts to changes in temperature and pressure is dependent on its molecular structure. The molecular structure of each entity acts as a set of information on how the entity behaves or reacts to changes in its surroundings. Any change in the molecular structure creates a change in this set of information. Just as the behavior of non-living things such as air and water is dependent on its molecular structure, our behavior is dependent on the molecular structure of our brain. In other words, the molecular structure of our brain acts as a set of information on how we behave in each and every situation that we face. This set of information is perceived as our memory. Any change in this molecular structure leads to a change in our behavior. The molecular structure of our brain is incredibly complex. This creates an extremely complex set of information. This allows us to react in complex ways. In comparison, the reaction of non-living things such as water and air are usually simple and predictable. This is because of their simple molecular structure and the resultant simple set of information. The molecular structure of our brain The most active part of our brain is the Neurons. Neurons are made up of long chain carbon molecules. They usually consist of millions of atoms. These long chain carbon molecules have slots that can accommodate compounds of Hydrogen, Nitrogen, Oxygen etc. This complex molecular structure creates a complex set of information. This allows us to behave or react in complex ways. Although we have a complex set of information regarding our behavior, our behavior would still be predictable and repetitive if we are unable to change or modify this set of information. The process of learning new things mandates that we should be able to modify the molecular structure of our brain thereby modifying our behavior. How do we adapt? Both non-living things as well as living beings react to their surroundings. This reaction usually leads to a change at the molecular level. For example, when gas molecules come in contact with heat, the movement of the molecules becomes more vigorous. Non-living things usually react only to changes in pressure, temperature etc. On the other hand, we are able to react to signals such as sound, smell, light etc. Our reactions create a change in the molecular structure of our brain [1]. These changes enable us to react in new ways i.e. it helps us to adapt to our surroundings. A key difference between living beings and non-living things is that we are able to sustain or maintain the changes that happen in the molecular structure of the brain. This is done with the help of the internally stored energy and the various control systems in our brain. This allows us to sustain or maintain the changes in our behavior. Non-living things do not have the control systems to sustain or control the changes that occur at the molecular level. How does the brain react to our surroundings We receive signals from our surroundings as sound, smell, light etc. First, our brain identifies the ‘related information’ stored in our brain. With the help of the related information, we are able to convert the signals into intelligible information. Now our brain is ready to react. This reaction is guided by our inbuilt notions of pleasure, pain, right and wrong etc. The reaction in our brain creates a change at the molecular level. There are an almost uncountably large number of possible arrangements of the millions of atoms in the long chain carbon molecules in our Neurons. Each reaction creates a change in the arrangement of these atoms. These changes allow us to change in our behavior i.e. we adapt. References 1) Fundamentals of Neuroscience, Part-1 (MCB80.1x) presented by David Cox, Harvard edx. not-yet-known not-yet-known not-yet-known unknown Declaration None of the material has been published or is under consideration for publication elsewhere. There is no Conflict of Interest. All the methods were ethical in nature. Information & Authors Information Version history V1 Version 1 15 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords cognition memories neurons Authors Affiliations Eldo Mohan Ranjit 0009-0007-0770-8457 [email protected] Jaypee Institute of Information Technology View all articles by this author Metrics & Citations Metrics Article Usage 165 views 54 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Eldo Mohan Ranjit. To build a machine that can learn. Authorea . 15 January 2025. DOI: https://doi.org/10.22541/au.173697394.40082834/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.173697394.40082834/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9ff64f105be53fe2',t:'MTc3OTM5NTExMA=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00