This site has been permanently archived. This is a static copy provided by the University of Southampton.
--- abstract: |- This paper presents a survey of the most common probabilistic models for artefact conception. We use a generic formalism called Bayesian Programming, which we introduce briefly, for reviewing the main probabilistic models found in the literature. Indeed, we show that Bayesian Networks, Markov Localization, Kalman filters, etc., can all be captured under this single formalism. We believe it oers the novice reader a good introduction to these models, while still providing the experienced reader an enriching global view of the field. altloc: [] chapter: ~ commentary: ~ commref: ~ confdates: 2003 conference: 'International Conference on Computational Intelligence, Robotics and Autonomous Systems (IEEE-CIRAS)' confloc: Singapore contact_email: ~ creators_id: [] creators_name: - family: Diard given: J honourific: '' lineage: '' - family: Bessiere given: P honourific: '' lineage: '' - family: Mazer given: E honourific: '' lineage: '' date: 2003 date_type: published datestamp: 2004-08-10 department: ~ dir: disk0/00/00/37/55 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 3755 fileinfo: /style/images/fileicons/application_pdf.png;/3755/1/Diard03a.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: ~ lastmod: 2011-03-11 08:55:39 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: ~ pubdom: TRUE publication: ~ publisher: ~ refereed: FALSE referencetext: ~ relation_type: [] relation_uri: [] reportno: ~ rev_number: 12 series: ~ source: ~ status_changed: 2007-09-12 16:53:17 subjects: - comp-sci-robot succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework type: confpaper userid: 4357 volume: ~