Publication
Towards autonomy, self-organisation and learning in holonic manufacturing
| dc.contributor.author | Leitão, Paulo | |
| dc.contributor.author | Restivo, Francisco | |
| dc.date.accessioned | 2010-01-24T15:35:41Z | |
| dc.date.available | 2010-01-24T15:35:41Z | |
| dc.date.issued | 2003 | |
| dc.description.abstract | This paper intends to discuss self-organisation and learning capabilities in autonomous and cooperative holons that are part of a holonic manufacturing control system. These capabilities will support the dynamic adaptation of the manufacturing control to the manufacturing evolution and emergency, specially the agile reaction to unexpected disturbances. | pt |
| dc.identifier.citation | Leitão, Paulo; Restivo, Francisco (2003). Towards autonomy, self-organisation and learning in holonic manufacturing. In 3rd International/Central and Eastern European Conference on Multi-Agent Systems. Prague, Czech Republic. p.544-553. ISBN: 978-3-540-40450-7 | pt |
| dc.identifier.isbn | 978-3-540-40450-7 | |
| dc.identifier.uri | http://hdl.handle.net/10198/1442 | |
| dc.language.iso | eng | pt |
| dc.publisher | Springer | pt |
| dc.relation.ispartofseries | Lecture Notes in Artificial Intelligence;2691 | |
| dc.subject | Holonic manufacturing Systems | pt |
| dc.subject | Self-organization | pt |
| dc.subject | Learning | pt |
| dc.title | Towards autonomy, self-organisation and learning in holonic manufacturing | pt |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 553 | pt |
| oaire.citation.startPage | 544 | pt |
| person.familyName | Leitão | |
| person.givenName | Paulo | |
| person.identifier | A-8390-2011 | |
| person.identifier.ciencia-id | 8316-8F13-DA71 | |
| person.identifier.orcid | 0000-0002-2151-7944 | |
| person.identifier.scopus-author-id | 35584388900 | |
| rcaap.rights | restrictedAccess | pt |
| rcaap.type | conferenceObject | pt |
| relation.isAuthorOfPublication | 68d9eb25-ad4f-439b-aeb2-35e8708644cc | |
| relation.isAuthorOfPublication.latestForDiscovery | 68d9eb25-ad4f-439b-aeb2-35e8708644cc |