Mudawwatar (al'ada) model ɗin yana da matakai bakwai na al'ada: gano shawarar, kafa ka'idoji, ka'idoji na ka'idoji, samar da madadin, kimanta su da ka'idojin da aka ka'idoji, zaɓi zaɓin da ya dace, kuma aiwatar da su kuma bita. Ya dogara ne akan ka'idar amfani da aka yi sa'a (Daniel Bernoulli, 1738; an tsara shi ta von Neumann da Morgenstern, 1944) da ra'ayin jarumin rational mai ilimi. Masanin Nobel Herbert Simon ya yi musu shari'a da rationality mai iyaka da satisficing (Administrative Behavior, 1947): mutanen da ke da iyaka ta hanyar bayanai, lokaci, da kuzari, suna zaɓi zaɓin farko da ya isa mafi kyau ko ya dace fiye da ya dace. Barry Schwartz (The Paradox of Choice, 2004) ya bambanta tsakanin maximizers, waɗanda ke neman mafi kyau, daga satisficers, waɗanda suke tsaya a mafi kyau; maximizers galibi suna samun mafi kyau amma suna da ƙananan jin daɗi — wata takarda ta gano masu neman aiki waɗanda suka yi karatu sun sami kusan 20 percent fiye da waɗanda suka yi amfani da shi amma ba su da farin ciki. Ka'idar Prospect (Kahneman da Tversky, 1979) da paradox Allais sun nuna zaɓin gaskiya suna wucewa daga tsarin rational mai tsabta. Argumentree ya aiwatar da mahimmin ɓangare na model ɗin rational — ka'idoji mai bayyana da madadin da aka kimanta — ta hanyar bishiya pro/con mai tsari, kimanta da yawa da ke tarawa zuwa maki na jama'a, da rikodin bita, haka za a iya zaɓin kungiya ta hanyar tsari ba tare da yin kira da suna da bayanai mai kammala ba.

Model ɗin rational yake cewa: kafa ka'idoji ɗinka, ka'idoji kowace madadin da su, kuma zaɓi zaɓin da ya dace. Shi ne mafi kyau — kuma koyo inda yake cuta shi ne abin da yake sa ka zama mai kyau a yanke shawara.
Na karba zuwa yau: 2026-07-02
Decision making na rational shine tsarin tsari na zaɓi: define the problem, weigh the options against explicit standards, and select the one that maximizes value. It traces back to expected utility theory (Bernoulli, 1738; von Neumann & Morgenstern, 1944). Its famous limitation — that nobody actually has perfect information — gave us Herbert Simon's satisficing. The practical takeaway: keep the model's discipline (clear criteria, evaluated arguments); drop its fantasy (that you can optimize over everything).
Baiyana matsalar ta gaskiya da za a yi zaɓi.
Kaɗa kaɗai abin da sakamako mai kyau ya ƙunsa — kafin ka duba zaɓuɓɓuka, don zaɓuɓɓukan ba su kaɗa ma'auni.
Rarraba abin da yake da mahimmanci; ba kowace ma'auni ke da ɗanɗano.
Jereti zaɓuɓɓukan zaɓuɓɓuka masu yuwuwa a tebur.
Kimanta kowace zaɓi kan kowace ma'auni mai ƙarfi — a kan daraja, ba a kan manzo.
Zaɓi zaɓi tare da mafi kyawun jimillar ƙarfi.
Aikata, sannan ka duba sakamakon da ka yi da abin da kuka yi hasashen.
Model ɗin rational ya yi ikirarin masanin mai ilimi — "dan tattalin arzikin ɗan adam." Masanin tattalin arziƙi Herbert Simon ya rushe shi a cikin Administrative Behavior (1947). Masu yanke shawara na gaske suna fuskantar bayanai mara iyaka, lokaci, da kuzari na hankali, haka kuma rationality mai iyaka. A maimakon zaɓin mafi kyau, mun satisfice — kalma Simon ya ƙirƙira daga satisfy + suffice: mun kafa layi na "mafi kyau" kuma mun ɗauki zaɓin farko da ya wuce shi. Ra'ayin ya yi tasiri sosai ya sa Simon ya lashe 1978 Nobel Prize in Economics.
Neman zaɓi mafi kyau. Galibi suna samun sakamako mai kyau — amma suna da ƙyama.
Kaɗa abin da "dafi" ke nufi a baya, sannan ka tsaya. Suna da sauki da zaɓuɓɓukan da suke yi.
Masanin kimiyar hali Barry Schwartz ya yi shahararrun rarrabuwar maximizer–satisficer a cikin The Paradox of Choice (2004). Shaidar ya yi kama:
Dalibai masu kammala karatu waɗanda suke da makasudin zaɓe suna samun ayyuka da albashi kusan 20% mafi girma fiye da masu neman zaɓi — amma ba su da farin ciki da ayyukan da suka amince da su. Taken takarda ta ce gaskiya: "Yin Mafi Kyau amma Ina da Ƙyama."
A cikin shaguna mai daraja, nuni na 24 jam ya jawo masu neman zaɓi amma kusan ~3% suka siya; nuni na 6 jam ya canza ~30% — kusan 10× mafi siya. Ya zama misali na farko na "zaɓin zaɓe." (Worth sanin: sakamakon jam ba a taɓa sake yin shi ba, haka lalle ka dauke shi a matsayin misali mai suna, ba doka ba.)
Ba za ka iya optimization a kan bayanai mai kammala — amma za ka riƙe rational model's real value: explicit criteria and arguments evaluated on their merits. Argumentree yake yin haka, a kan argument mapping:
Zaɓuɓɓuka da dalilai na zaɓi da kuma adawa da kowannensu an tsara su a matsayin bishi na pro/con, don haka tushe na zaɓi ya ke nan — ba a kai na mutum ɗaya ba.
Masu shirye-shirye suna kimanta hujjoji kan inganci, ayyuka, da amfani; kimantawa suna tarawa zuwa bishi a matsayin sakamako na goyon baya — kaɗaɗɗen da za a iya amfani da shi ba tare da yin kama da kai ba.
Saboda goyon baya na sakamako an kimanta, ƙungiya za ta iya amincewa da gindin neman zaɓi da tsaya — maimakon zaɓin zaɓe cikin paralysis na nazarin.
Jerin aikin ya ɗauki ma'auni da hujjoji waɗanda suka haddasa shawarar, don haka za a iya sake duba ta da sakamako daga baya.
Ku yi kwatantawa da yadda masana ke yanke shawara a ƙarƙashin matsi a cikin naturalistic decision making, ganji aikin yanke shawara na gama gari da yanke shawara models da ke gaba, kuma yadda ƙungiyoyi ke amfani da shi a cikin haɗin gwiwa yanke shawara. Zamani, data-and-AI incarnation shine yanke shawara hankali.
Asara ta fi ƙyama kusan sau biyu fiye da nasara mai dadi (nazari na zaɓi), skewing 'hankali' kaɗaɗɗen.
Zaɓin zaɓe a kan zaɓuɓɓuka da yawa ya kawo zaɓi gaba ɗaya.
Lambar da aka gani ta farko ta ɗaga kowane hukunci daga baya zuwa gare ta.
Mun fi kaɗaɗɗen hujjoji waɗanda suke daidai da karshe da muka riga mun yarda da su.
Shawarar hankali ita ce tsari wanda ka keɓe matsalar, ka ƙaddamar da ma'auni mai zurfi, haɓaka zaɓuɓɓuka, kimanta kowannensu kan ma'auni, sannan ka zaɓi zaɓi wanda yake da sakamako mafi kyau — wanda yake juyar da shawarar da ke da hankali a matsayin jarumi mai hankali wanda ke kulla hukunci na karshe — "mataccen ɗan tattalin arziƙi" na nazari na shawarar.
Tsarin al'ada ya ƙunshi matakai bakwai: (1) gane shawarar; (2) ƙaddamar da ma'auni; (3) kaɗa ma'auni da mahimmanci; (4) haɓaka zaɓuɓɓuka; (5) kimanta kowannensu zaɓi kan ma'auni mai ƙarfi; (6) zaɓi zaɓi mafi kyau; sannan (7) aiwatar da shi da sake duba. Abin da ke nufi shi ne cewa ma'auni an ƙaddamar da su kafin a kimanta zaɓuɓɓuka.
Shawarar da aka ƙayyade, wata kalma daga masanin Nobel Herbert Simon (Administrative Behavior, 1947), ita ce ra'ayi cewa masu shawarar gaskiya ba su iya tattara duka bayanai ko kimanta kowannen zaɓi — hankali ya ƙarewa ta bayanai ƙasƙanci, lokaci, da ƙarfin hankali. Maimakon hankali, mutane suna "satisficing": suna ƙaddamar da gindin "dafi" da zaɓi na farko wanda ya wuce shi.
Binciken masanin kimiyar hali Barry Schwartz (The Paradox of Choice, 2004) ya gano cewa makasudin zaɓe — waɗanda suke neman zaɓi mafi kyau — galibi suna samun sakamako mai kyau amma suna da ƙyama: mafi ƙyama, mafi kwatankwacin al'umma, da ƙarancin farin ciki. A cikin wata bincike, masu neman aiki suna samun kusan 20% mafi girma amma ba su da farin ciki da ayyukan da suka yi. Domin matakai na yau da kullun, neman zaɓi — kaɗa abin da "dafi" ke nufi a baya da tsaya — ya kawo farin ciki mafi kyau.
Tsarin al'ada ya ɗauki cewa akwai bayanai mai cike, bincike ba a ƙarewa ba, da son zuciya mai ɗorewa — babu abin da ya dace da mutanen gaskiya. Nazari na zaɓi (Kahneman & Tversky, 1979) ya nuna mun kimanta sakamako kan matakai na nuni; paradox na Allais ya nuna zaɓuɓɓukanmu suna karya axioms na tsarin. Aikin aikace bai bar tsari ba — shi ne kaɗa ma'auni da hujjoji a bayyane yayin da kake yarda da kana neman zaɓi, ba aikin hankali ba.
Bernoulli, D. (1738/1954). Bayanin Sabon Ka'ida Kan Kimanta Hadari. Econometrica, 22(1), 23-36.
Asalin ka'idar amfani da aka fada a kai.
View source →von Neumann, J., & Morgenstern, O. (1944). Ka'idar Wasanni da Kimanta Tattalin Arziki. Princeton University Press.
Kimanta ka'ida da amfani da aka fada da jarumin da'a.
View source →Simon, H. A. (1947). Halin Gudanarwa. Macmillan.
Rashin da'a da kare; aikin da ya yi Simon ya lashe lambar yabo ta Nobel a 1978.
Kahneman, D., & Tversky, A. (1979). Ka'idar Prospect: Nazari Kan Karrama a Ƙarƙashin Hadari. Econometrica, 47(2), 263-291.
Yadda yanke zaɓi na gaskiya suka yi watsi da tsarin da'a; kaurin asara.
View source →Schwartz, B. (2004). Ma'ana Mai Kishi: Me Yasa Mafi Shi Ne Koma. Ecco / HarperCollins.
Banbancin tsakanin mai kafa da mai cimma.
Iyengar, S. S., Wells, R. E., & Schwartz, B. (2006). Yin Mafi Kyau amma Jin Kansa Mashi. Kimiya ta Zamani, 17(2), 143-150.
Karatu na neman aiki: masu kafa sun samu kudin shiga ~20% mafi yawa amma ba su da kurakurai.
View source →Iyengar, S. S., & Lepper, M. R. (2000). Lokacin Da Zaɓi Ya Kasa Kai. Jaridar Halin Mutum da Kimiya ta Zamani, 79(6), 995-1006.
Karatu na jam - misalin kafa na zaɓi mai yawa.
View source →Kafa ka'idoji ɗinka da hujjoji kai tsaye, ka'idoji su azaman kungiya, kuma riƙe rikodin. Kawo tsari zuwa yanke shawara ɗinka tare da Argumentree.
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