المستودع الأكاديمي جامعة المدينة

A Multi-Agent Architecture Integrating Learning and Fuzzy Techniques for Landmark-Based Robot Navigation

أعرض تسجيلة المادة بشكل مبسط

dc.contributor Fulbright Commission
dc.contributor Plan Nacional de Investigación Científica y Desarrollo (España)
dc.contributor Generalidad de Cataluña
dc.creator Busquets, Dídac
dc.creator Lopez de Mantaras, Ramon
dc.creator Sierra, Carles
dc.creator Dietterich, Thomas G.
dc.date 2008-02-19T11:44:28Z
dc.date 2008-02-19T11:44:28Z
dc.date 2002
dc.date.accessioned 2017-01-31T01:00:12Z
dc.date.available 2017-01-31T01:00:12Z
dc.identifier Topics in Artificial Intelligence, 5th Catalonian Conference on AI, CCIA 2002 Castellón, Spain, October 2002. Proceedings. Lecture Notes in Artificial Intelligence Vol. 2504, p.p.: 269-281, Springer-Verlag, 2002.
dc.identifier 0302-9743
dc.identifier http://hdl.handle.net/10261/2984
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2984
dc.description La publicación original está disponible en www.springerlink.com.
dc.description This paper extends a navigation system implemented as a multi-agent system (MAS). The arbitration mechanism controlling the interactions between the agents was based on manually-tuned bidding functions. A difficulty with hand-tuning is that it is hard to handle situations involving complex tradeoffs. In this paper we explore the suitability of reinforcement learning for automatically tuning agents within a MAS to optimize a complex tradeoff, namely the camera use.
dc.description Fullbright Joint Research Project and Plan Nacional Project DPI 2000-1352-C02-02. Dídac Busquets holds the CIRIT doctoral scholarship 2000FI-00191.
dc.description Peer reviewed
dc.format 240583 bytes
dc.format application/pdf
dc.language eng
dc.publisher Springer
dc.rights openAccess
dc.subject Artificial Intelligence
dc.subject Machine Learning
dc.subject Robotics
dc.subject Multiagent Systems
dc.subject Fuzzy Logic
dc.title A Multi-Agent Architecture Integrating Learning and Fuzzy Techniques for Landmark-Based Robot Navigation
dc.type Comunicación de congreso


الملفات في هذه المادة

الملفات الحجم الصيغة عرض

لا توجد أي ملفات مرتبطة بهذه المادة.

هذه المادة تبدو في المجموعات التالية:

أعرض تسجيلة المادة بشكل مبسط