AI a cikin haɓaka wasan: ingantaccen maye gurbin masu gwada wasa

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• Sunan marubuci

  Quantumrun Haskaka
• Yuli 12, 2022

Takaitacciyar fahimta

Kamar yadda wasannin intanit da yawa ke samun shahara sosai, masu haɓaka wasan suna juyawa zuwa hankali na wucin gadi (AI) da koyan injin (ML) don ƙirƙirar ƙarin shiga, wasanni marasa kuskure cikin sauri. Waɗannan fasahohin suna canza haɓakar wasan ta hanyar ba da damar gwaji da gyare-gyare cikin sauri, rage buƙatar babban gwajin wasan ɗan adam, da ba da damar ƙarin keɓaɓɓun ƙwarewar wasanni daban-daban. Wannan sauyi kuma na iya yin tasiri ga wasu sassa, daga ilimi da tallace-tallace zuwa dorewar muhalli da fahimtar al'adu.

AI a cikin mahallin ci gaban wasan

Wasannin da yawa na Intanet sun haɓaka cikin shahara tun tsakiyar shekarun 2000, suna jan hankalin miliyoyin yan wasa a duk duniya. Koyaya, wannan nasarar tana sanya matsin lamba ga masu ƙirƙira wasan don fitar da ingantaccen tsari, mara kwaro, tsararrun wasannin bidiyo. Wasanni na iya yin hasarar shahara da sauri idan magoya baya da masu amfani suna jin wasan bai isa ya yi ƙalubale ba, ba a maimaita wasa ba, ko yana da lahani a ƙirar sa. 

Haƙiƙa na wucin gadi da ML suna ƙara haɗawa cikin haɓaka wasan, inda masu zanen wasan ke maye gurbin masu gwajin wasan ɗan adam tare da ƙirar ML don daidaita tsarin ci gaba. Yawancin lokaci yana ɗaukar watanni na gwadawa don gano rashin daidaito a cikin sabon wasan da aka ƙirƙira yayin tsarin haɓaka wasan. Lokacin da aka gano kuskure ko rashin daidaituwa, yana iya ɗaukar kwanaki don rage matsalar.

Dabarar kwanan nan don yaƙar wannan batu yana ganin kayan aikin ML da aka tura don canza ma'auni gameplay, tare da ML ta yin amfani da algorithms ɗin sa na samun kuɗi don aiki azaman masu gwada wasa. Misalin wasan da aka gwada wannan shine nau'in wasan katin dijital na Chimera, wanda a baya aka yi amfani da shi azaman filin gwaji don fasahar ML. Tsarin gwaji na tushen ML yana baiwa masu zanen wasa damar yin wasa mafi ban sha'awa, daidaito, kuma daidai da ainihin manufarsa. Hakanan dabarar tana ɗaukar ɗan lokaci ta hanyar gudanar da miliyoyin gwaje-gwajen siminti ta amfani da ƙwararrun wakilai na ML don gudanar da bincike.

Tasiri mai rudani

Ta hanyar jagorantar sabbin ƴan wasa da ƙirƙira sabbin dabarun wasa, wakilan ML na iya haɓaka ƙwarewar wasan. Amfani da su a cikin gwajin wasan kuma abin lura ne; idan sun yi nasara, masu haɓakawa na iya ƙara dogaro da ML don ƙirƙirar wasan duka da rage yawan aiki. Wannan canjin zai iya amfanar sabbin masu haɓakawa musamman, saboda kayan aikin ML galibi basa buƙatar zurfin ilimin ƙididdigewa, yana basu damar shiga cikin haɓaka wasan ba tare da shingen rubutun rubutu ba. Wannan sauƙin samun dama zai iya ba da demokraɗiyya ƙira ta wasa, buɗe kofa ga ɗimbin masu ƙirƙira don haɓaka wasanni a nau'o'i daban-daban, gami da ilimi, kimiyya, da nishaɗi.

Ana sa ran haɗin kai na AI a cikin ci gaban wasanni zai daidaita tsarin gwaji da tsaftacewa, yana ba masu haɓaka damar aiwatar da haɓaka cikin sauri. Babban tsarin AI, ta amfani da ƙirar tsinkaya, na iya yuwuwar ƙirƙira gabaɗayan wasannin bisa ƙayyadaddun bayanai kamar firam ɗin maɓalli da bayanan masu amfani. Wannan ikon yin nazari da amfani da abubuwan da masu amfani suka zaɓa da abubuwan da ke faruwa na iya haifar da ƙirƙirar wasannin da suka dace sosai ga sha'awar ɗan wasa da gogewa. Bugu da ƙari, wannan ƙarfin tsinkaya na AI na iya ba wa masu haɓaka damar hasashen yanayin kasuwa da buƙatun mabukaci, wanda ke haifar da ƙarin ƙaddamar da wasan nasara.

Ana sa rai, iyakokin AI a cikin haɓaka wasan na iya faɗaɗa don haɗa ƙarin abubuwan ƙirƙira. Tsarin AI na iya ƙarshe su sami damar ƙirƙirar zane-zane na cikin-wasan, sauti, har ma da labaru, suna ba da matakin sarrafa kansa wanda zai iya canza masana'antar. Irin waɗannan ci gaban na iya haifar da ɗimbin sabbin wasanni masu rikitarwa, waɗanda aka haɓaka cikin inganci fiye da kowane lokaci. Hakanan wannan juyin halitta na iya haifar da sabbin nau'ikan ba da labari mai ma'ana da gogewa mai zurfi, kamar yadda abubuwan da AI suka samar zai iya gabatar da abubuwan da ba za su iya yiwuwa ga masu haɓaka ɗan adam kaɗai ba. 

Abubuwan da ke tattare da gwajin AI a cikin haɓaka wasan

Faɗin abubuwan da ake amfani da su na yin amfani da tsarin gwajin AI da bincike a cikin haɓaka wasan sun haɗa da: 

• Kamfanoni cikin hanzari suna haɓakawa da fitar da ƙarin wasanni a shekara, wanda ke haifar da haɓakar riba da kuma kasuwar caca mai ƙarfi.
• Rushewar wasanni tare da rashin liyafar mara kyau saboda ingantaccen gwaji ta tsarin AI, yana haifar da ƙarancin kurakuran coding da haɓakar ingancin wasan gabaɗaya.
• Tsawon matsakaicin matsakaicin tsawon lokacin wasa a cikin nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan rahusa an rage su, saboda rage farashin samarwa yana ba da damar ƙarin fa'idodin labarai da fa'idodin buɗe ido na duniya.
• Alamu da ƴan kasuwa suna ƙara rungumar haɓaka wasan don dalilai na talla, saboda ƙarancin farashi yana sa wasanni masu alama su zama dabarun tallan tallace-tallace.
• Kamfanonin watsa labaru da ke mayar da wani muhimmin kaso na kasafin kuɗaɗen fina-finansu da talabijin don samar da wasan bidiyo, tare da fahimtar karuwar sha'awar nishaɗin mu'amala.
• Haɓakawa game da AI wanda ke haifar da sabbin damar aiki a cikin ƙirƙira ƙira da nazarin bayanai, yayin da rage ayyukan coding na gargajiya.
• Gwamnatoci da ke tsara sabbin ka'idoji don AI a cikin haɓaka wasan don tabbatar da amfani da bayanai cikin ɗa'a da kuma kiyayewa daga yuwuwar yin amfani da su.
• Cibiyoyin ilimi suna haɗa wasannin AI da suka haɓaka cikin manhajojin su, suna ba da ƙarin ma'amala da ƙwarewar ilmantarwa.
• Fa'idodin muhalli daga raguwar samar da wasan motsa jiki, kamar yadda AI ke haɓaka motsi zuwa rarraba dijital.
• Canjin al'adu kamar yadda wasannin AI suka haifar suna ba da labari da gogewa daban-daban, mai yuwuwar haifar da fa'idan fahimta da fahimtar al'adu da ra'ayoyi daban-daban.

Tambayoyin da za a duba

• Shin nau'ikan sabbin abubuwan wasan kwaikwayo na iya zama mai yiwuwa godiya ga shigar AI da aka ambata a sama?
• Raba gogewar wasan bidiyo mafi muni ko ban dariya.