Scientific design of complex multi‐agent systems: A practice modeling approach.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Scientific design of complex multi‐agent systems: A practice modeling approach.
Συγγραφείς:	Clancey, William J.
Πηγή:	AI Magazine; Fall2026, Vol. 47 Issue 3, p1-15, 15p
Θεματικοί όροι:	Multiagent systems, Human-machine systems, Automatic control systems, Human behavior models, System safety, Cognitive computing, Verification of computer systems, Design techniques
Περίληψη:	Through advances in computing power, sensor systems, networking, and AI programming, new automated systems are being developed with capabilities for acting in the world that heretofore only people could do—driving automobiles, controlling aircraft systems, delivering packages. As we give computer programs control of complicated vehicles and devices, we need new tools to create and analyze designs systemically, to anticipate and understand how people and machines will behave and interact in safety‐critical situations—when action may be urgent and lives at stake. To secure the trust of consumers and certification by regulators, engineers need to adopt scientific design methods to verify that the behavior of instruments, devices, and programs fits how people perceive, reason, and act in challenging situations. [ABSTRACT FROM AUTHOR]
	Copyright of AI Magazine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων:	Complementary Index

FullText	Links: – Type: other Text: Availability: 0
Header	DbId: edb DbLabel: Complementary Index An: 197215913 RelevancyScore: 1082 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1082.42749023438
IllustrationInfo
Items	– Name: Title Label: Title Group: Ti Data: Scientific design of complex multi‐agent systems: A practice modeling approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Clancey%2C+William+J%2E%22">Clancey, William J.</searchLink> – Name: TitleSource Label: Source Group: Src Data: AI Magazine; Fall2026, Vol. 47 Issue 3, p1-15, 15p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink><br /><searchLink fieldCode="DE" term="%22Human-machine+systems%22">Human-machine systems</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+control+systems%22">Automatic control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Human+behavior+models%22">Human behavior models</searchLink><br /><searchLink fieldCode="DE" term="%22System+safety%22">System safety</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+computing%22">Cognitive computing</searchLink><br /><searchLink fieldCode="DE" term="%22Verification+of+computer+systems%22">Verification of computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Design+techniques%22">Design techniques</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Through advances in computing power, sensor systems, networking, and AI programming, new automated systems are being developed with capabilities for acting in the world that heretofore only people could do—driving automobiles, controlling aircraft systems, delivering packages. As we give computer programs control of complicated vehicles and devices, we need new tools to create and analyze designs systemically, to anticipate and understand how people and machines will behave and interact in safety‐critical situations—when action may be urgent and lives at stake. To secure the trust of consumers and certification by regulators, engineers need to adopt scientific design methods to verify that the behavior of instruments, devices, and programs fits how people perceive, reason, and act in challenging situations. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of AI Magazine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink	https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=197215913
RecordInfo	BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/aaai.70065 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Subjects: – SubjectFull: Multiagent systems Type: general – SubjectFull: Human-machine systems Type: general – SubjectFull: Automatic control systems Type: general – SubjectFull: Human behavior models Type: general – SubjectFull: System safety Type: general – SubjectFull: Cognitive computing Type: general – SubjectFull: Verification of computer systems Type: general – SubjectFull: Design techniques Type: general Titles: – TitleFull: Scientific design of complex multi‐agent systems: A practice modeling approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Clancey, William J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Fall2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 07384602 Numbering: – Type: volume Value: 47 – Type: issue Value: 3 Titles: – TitleFull: AI Magazine Type: main
ResultId	1