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Preprint inoshuma AI sisitimu yekugovera mabasa emuchipatara pane akasanganiswa marobhoti zvikepe

Iyo itsva arXiv preprint inotsanangura modhi-yakavakirwa kusimbisa-kudzidza chimiro chinopa zvikumbiro zvechipatara kumarobhoti akasiyana uchichinjira kune zvikanganiso zvekufungidzira uye basa richangosvika. Muchidzidzo chenyaya uchishandisa zvikumbiro zvekuyamwisa-basa kubva pavarindi pasi, vanyori vanoshuma padyo-yakazara sevhisi uye yakaderera…

6 min readRead the primary source
Primary-source image accompanying Preprint reports AI system for assigning hospital tasks across mixed robot fleets
Primary-source documentKwakanyorwa
Muparidzi
arxiv.org
Source link
arxiv.orghttps://arxiv.org/abs/2608.21554
Source type
Gwaro rekutanga - chiziviso chepamutemo, bepa, faira, kana peji rebato rekutanga ratinoverenga zvakananga.
ContextNzwisisa izvi mumasekonzi makumi matanhatu

Tanga pano

Matemu akakosha

Kudzidza Muchina (ML)
Nzira dzinobvumira masisitimu kudzidza mapatani kubva kune data uye kugadzirisa nekufamba kwenguva.
Generalization
Iyo modhi inoita zvakanaka sei pane nyowani, isingaonekwe data kunze kweseti yekudzidziswa.
Dataset
Muunganidzwa wemienzaniso yakarongeka kana isina kurongeka inoshandiswa pakudzidzisa, kusimbisa, kana kuyedza.
Zviedze iwe pachakoAI Agents Quiz

Chii chaitika

Vatsvaguri vakakurudzira kufanotaura-kuziva, modhi-yakavakirwa kusimbisa-kudzidza maitiro ekugovera akarongwa uye chaiwo-nguva mabasa pane heterogeneous akawanda-marobhoti sevhisi zvikepe. Iyo sisitimu inoverengera marobhoti-basa kuenderana, basa rekuraira, nzira, masevhisi masevhisi uye zvinodikanwa kuti marobhoti adzoke pakupera kwekuronga horizon. Muchipatara chevarwere-pasi nyaya yekudzidza, vanyori vanoshuma kuti yakawana pedyo-yakakwana sevhisi uye yakaderedzwa sevhisi-yekumirira nguva yekumirira kana ichienzaniswa neinobatika, chiratidzo-kupfuura, kufanotaura-nzvimbo uye myopic-kukara kwekutanga.

Kunobva kune arXiv preprint yakatumirwa muna Nyamavhuvhu 21, 2026. Inopa AI framework ye heterogeneous multi-robot service system, uko marobhoti akasiyana anogona kuenderana nezvikumbiro zvakasiyana uye uko mabasa anogona kurongwa pachine nguva kana kusvika panguva yekushanda. Iro bepa rinogadzira basa seanogumira-horizon stochastic dynamic program. Zvipingamupinyi zvayo zvinosanganisira izvo marobhoti anogona kuita mabasa api, akaodha sevhisi zvinodiwa, nzira, mahwindo ebasa uye kudiwa kwemarobhoti kudzoka panopera nguva yekuronga. Mashoko aya anoita kuti dambudziko rinyanye kushanda pane kungofananidza robhoti riri pedyo nechikumbiro chinotevera.

Iyo yepakati nzira inotsanangurwa sekufanotaura-kuziva adaptive rollout framework. Inoongorora sarudzo dzebasa dzazvino ichishandisa sampled scenarios kune zvikumbiro zvenguva yemberi, uku ichiganhurira zvisungo zvechimbichimbi kune zvikumbiro zvakatoonekwa. Kuita kuti maitiro aya ashandiswe pamhepo, vanyori vanosanganisa madhiraini emumiriri akatemwa, zviito zvekumirira uye yekudyidzana-inoziva base mutemo wekufungidzira mutengo weramangwana. Iyo nzira yakagadzirirwa kushandisa fungidziro pasina kuvabata sechokwadi. Kana fungidziro dzichangoburwa dzisingaenderane nezvinodiwa zvinocherechedzwa, inodzoreredza zvikumbiro zvakafanotaurwa uye inogona kusarudza kugadzirisa zvakare mabasa akaitwa asi asati atanga.

Iyo bepa zvakare inosuma maitiro anoenderana nenhoroondo data yekusarudza kuumbwa kweiyo heterogeneous marobhoti zvikepe zvisati zvaendeswa. Chidzidzo chenyaya chakashumwa chinoshandisa zvikumbiro zvebasa rehukoti kubva pauriri hwevarwere vechipatara. Zvinoenderana neabstract, nzira yakatsanangurwa inopa sevhisi yepedyo-yakazara uye inoderedza sevhisi-yekumirira nguva yekumirira ichipesana nemazano mana ekuenzanisa: reactive, token-passing, predicting-positioning uye myopic makaro mitemo. Kuvandudzwa kukuru kwakashumwa kuri mumametrics ekunonoka-muswe, ayo anotarisa pane zvikumbiro zvinomirira kwenguva refu. Iyo abstract haitauri huwandu hwehuwandu hwekuvandudzwa uku kana kuratidza kutumirwa kwepasirese chaiko.

Tsime rinoratidza vanyori vashanu uye rinotsanangura basa sebepa remapeji makumi matatu nemana rine nhamba gumi nemana nematafura mana. Yakaiswa pasi pemarobhoti, kudzidza muchina uye multiagent masisitimu. Nekuti iyo iripo sosi ndeye arXiv rekodhi uye abstract, iyo yakadzama yekuyedza kuseta, modhi inomisikidza, ongororo yenhamba uye yakazara baseline tsananguro hazviwanikwe pano. Saka zvakawanikwa zvinofanirwa kuverengerwa kune vanyori' preprint pane kubatwa seyakazvimirira yakasimbiswa maitiro emhedzisiro.

Kwakabva mashoko: arxiv.org ↗

Nei zvichikosha

Iro basa rinogadzirisa dambudziko reAI rinoshanda: kushandisa fungidziro pasina kubvumira fungidziro isiriyo kuita kuti basa remarobhoti riite brittle. Kana mhedzisiro yakashumwa ikawanda, nzira yacho inogona kubatsira akawanda-marobhoti masisitimu kubata kudiwa kwekuchinja uku uchiisa pamberi pezvikumbiro zvinononoka kunonoka. Humbowo hunoramba huchingogumira kune imwechete preprint uye nyaya yekudzidza, saka hazviratidze kuti hurongwa hwakagadzirira kuendeswa kuchipatara.

Nyaya inoshanda haisi yekuti marobhoti anogona kuita mabasa ega. Zvikepe zvinofanirwa kusarudza kuti robhoti ripi rinofanira kuita chikumbiro chipi, nguva yokufamba, kana kumirira mamwe mashoko uye kana basa ravanenge vamboita richifanira kuchinjwa. Sarudzo idzodzo dzinowedzera kuoma kana marobhoti aine hunyanzvi hwakasiyana uye kana zvikumbiro zvasvika zvese zvinoenderana nehurongwa uye zvisingatarisirwi. Mupiro weAI webepa ndeyekusanganisa kuronga pamwe nekudzidza kana kufanotaura-ruzivo kuchinjika kune iyo inoshanduka nharaunda.

Kurapa kwekuchinja kwekugovera kunonyanya kukosha pakushandiswa kwekushanda. Kufanotaura kunogona kubatsira kana kudiwa kuchitevera maitiro ezvakaitika kare, asi kunogona kukonzera sarudzo dzisina kunaka kana kudiwa kwazvino kwakasiyana kubva kare. Iyo yakatsanangurwa reweighting meshini inoitirwa kupindura kune ichangoburwa fungidziro yekusawirirana, nepo sarudzo yekuvandudzazve inomisa shanduko kune zvakapihwa zvikumbiro izvo zvisati zvatanga. Muchidimbu, izvo zvinoenzanisa kukosha kwekutarisira basa remangwana pamusoro pengozi yekuita marobhoti zvichienderana nekufungidzira kusingavimbike. Kwainobva, zvisinei, haaratidze kuti akaomesesa sei shanduko dzakayedzwa kana kuti nzira yacho inoita sei mumamiriro ezvinhu akanyanya kuipa.

Muenzaniso wechipatara unopa tsvakiridzo nharaunda yeruzhinji uye inoshanda. Zvikumbiro zvebasa remukoti paimba yevarwere zvinogona kunetsa nguva, uye kumirira kwenguva refu kungave nebasa kupfuura avhareji yekuita. Kutaura kwevanyori kuti mibairo mikuru inoitika mukunonoka-muswe metrics inoratidza kuti nzira yacho inogona kunge iri kugadzirisa basa risina kuenzana, kwete kungovandudza avhareji inovanza nhamba diki yezvikumbiro zvakanonoka. Icho ndicho chinangwa chinogona kubatsira dhizaini yeautomated sevhisi masisitimu, kunyangwe iyo abstract isingatsanangure mabasa, kunonoka kugovera kana mhedzisiro yekushandisa yekunonoka kwega kwega.

Mienzaniso yakataurwa ine basa zvakare nekuti inoyedza maitiro ekupikisa akati wandei akasiyana masitaera esarudzo kwete kupokana nezano zvachose. Reactive uye myopic maitiro anomiririra kushoma kutarisa-mberi; chiratidzo-kupasa uye kufanotaura-chinzvimbo zvinomiririra dzimwe nzira dzekubatanidza kana kuisa marobhoti. Zvakadaro, kwakabva hakutauri kuti nheyo dzakarongwa zvakaenzana, ingave ongororo yakashandiswa nguva-yakareba, kana kuti kuvandudzwa kwacho kwakakosha. Iyo zvakare inopa hapana humbowo pamusoro pezviitiko zvekuchengetedza, kutarisa kwevanhu, kuchengetedza, vashandi mhedzisiro, kushandiswa kwesimba kana mutengo. Pedyo-yakazara sevhisi muchidzidzo haina kufanana neyakavimbika yekuzvimirira kushanda muchipatara.

Interactive Mechanism

Interactive Mechanism: Iyo Inonyatsoshanda

Ongorora ari pasi tekinoroji kuseri kwekusimudzira uku uchipindirana.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
Interactive Concept Check+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

Zvekutarisa zvinotevera

Mibvunzo mikuru ndeyekuti nzira yacho inonatsiridza sei mashandiro enhamba, kuti inofananidzwa sei muzvipatara nemarobhoti zvikepe, uye kuti inozvibata zvakachengetedzeka sei kana kufanotaura kwakashata. Kwainobva hakupi saizi yezvikepe, vhoriyamu yebasa, nguva dzekusatya, mamiriro ekutumira, ruzivo rwehardware kana mari yekushandisa mune abstract. Kudzokorora kwakazvimirira uye bvunzo mune mhenyu kana mamwe akasiyana marongero angajekesa kukosha kwayo kunoshanda.

Chekutanga chekuongorora chakakosha ndechehuwandu hwehuwandu. Iyo abstract mishumo iri pedyo-yakazara sevhisi uye yakaderedzwa yekumirira nguva asi haipe zvikamu, yakakwana nguva yekumirira, nguva yekuvimba kana nhamba yezvikumbiro zvakaongororwa. Bepa rakazara rinofanirwa kujekesa kuti yakawanda sei nzira yakarongwa inoshandura avhareji uye kunonoka kwemuswe, kangani zvikumbiro zvisingashandiswe, uye kana mhedzisiro yacho yakasimba mukukanganisa kwakasiyana kwekufungidzira, mazinga ekuda uye kuronga horizons. Pasina iwo manhamba, saizi inoshanda yeinoti kuvandudzwa haigone kuongororwa.

Mubvunzo unotevera ndewe . Chidzidzo chenyaya chinoshandisa zvikumbiro zvekuyamwisa-basa kubva kuchipatara chevarwere pasi, asi kwacho hachione mamiriro echipatara, mapuratifomu erobhoti, nhamba uye mhando dzemarobhoti, kana kuti marobhoti akashanda nemuviri kana chete mukufananidza. Izvo hazvizivikanwe zvakare kana iyo data inomiririra imwe saiti, akawanda saiti kana replayed nhoroondo rekodhi. Miedzo inosanganisira zvipatara zvakasiyana, marongero, musanganiswa webasa, kugona marobhoti uye maitiro ekusvika kwaizoratidza kana nzira yacho ichichinjika kana zvinoenderana zvakanyanya pane imwe dhata uye nharaunda yekushanda.

Distribution-shift tests inokodzera kunyatsotariswa nekuti ndiyo inotariswa nebepa. Humbowo hunobatsira hwekutevera hunosanganisira shanduko dzakadzorwa mukudiwa, kukurumidza kusimuka, kushaikwa kana kusarerekera kufembera uye mamiriro ezvinhu apo mabasa akafanotaurwa anokwikwidza nezvikumbiro zvinoonekwa nekukurumidza. Vatariri vanofanirwa kuongorora kana adaptive reweighting inodzikamisa mashandiro kana kukonzera yakawandisa reassignment, uye kana iyo yekusarudza re-optimization mutemo inogona kugadzira kutsva kwenzira makakatanwa kana kunonoka mabasa atovepo. Kwakabva hakurevi aya mafodhi ekutadza mune abstract.

Chekupedzisira, kuendesa kunoshanda kunoda humbowo kupfuura sevhisi uye kunonoka metrics. Zvipatara nezvimwe zvivakwa zvaizoda kuziva kuti system yacho inobatana sei nehurongwa huripo uye kutumira software, izvo zvingakwikwidzirirwe nevatariri vevanhu, mabatiro aanoita kutaurirana kana kutadza kwemarobhoti, uye kuti inomisa sei komputa uye data zvinodiwa. Iyo bepa nhoroondo-inotyairwa data-inotyairwa yezvikepe-yekuumba maitiro zvakare inomutsa mibvunzo nezve kutenga uye kana musanganiswa unokurudzirwa unoramba wakakodzera sekuchinja kwekuda. Ikozvino sosi haipindure mibvunzo iyi, uye hapana kuwanikwa, kugadzira kana kuzivisa kwekutumira kunosanganisirwa.

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