Publication
Adapting Meeting Tools to Agent Decision
dc.contributor.author | Barreto, João | |
dc.contributor.author | Praça, Isabel | |
dc.contributor.author | Pinto, Tiago | |
dc.contributor.author | Sousa, Tiago | |
dc.contributor.author | Vale, Zita | |
dc.date.accessioned | 2015-05-04T10:15:17Z | |
dc.date.available | 2015-05-04T10:15:17Z | |
dc.date.issued | 2013-04 | |
dc.description.abstract | Electricity markets are complex environments comprising several negotiation mechanisms. MASCEM (Multi- Agent System for Competitive Electricity Markets) is a simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. ALBidS (Adaptive Learning Strategic Bidding System) is a multiagent system created to provide decision support to market negotiating players. Fully integrated with MASCEM it considers several different methodologies based on very distinct approaches. The Six Thinking Hats is a powerful technique used to look at decisions from different perspectives. This paper aims to complement ALBidS strategies usage by MASCEM players, providing, through the Six Thinking Hats group decision technique, a means to combine them and take advantages from their different perspectives. The combination of the different proposals resulting from ALBidS’ strategies is performed through the application of a Genetic Algorithm, resulting in an evolutionary learning approach. | por |
dc.identifier.doi | 10.1109/EAIS.2013.6604102 | |
dc.identifier.uri | http://hdl.handle.net/10400.22/5882 | |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.relation.ispartofseries | EAIS;2013 | |
dc.relation.publisherversion | http://ieeexplore.ieee.org/abstract/document/6604102/ | por |
dc.subject | Artificial Intelligence | por |
dc.subject | Decision Support Systems | por |
dc.subject | Electricity Markets | por |
dc.subject | Genetic Algorithms | por |
dc.subject | Multiagent Simulation | por |
dc.title | Adapting Meeting Tools to Agent Decision | por |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Singapore | por |
oaire.citation.endPage | 39 | por |
oaire.citation.startPage | 32 | por |
oaire.citation.title | IEEE Symposium on Evolving and Adaptive Systems 2013 (EIAS) at the IEEE SSCI 2013 (IEEE Symposium Series on Computational Intelligence) | por |
person.familyName | Praça | |
person.familyName | Pinto | |
person.familyName | Vale | |
person.givenName | Isabel | |
person.givenName | Tiago | |
person.givenName | Zita | |
person.identifier | 299522 | |
person.identifier | R-000-T7J | |
person.identifier | 632184 | |
person.identifier.ciencia-id | C710-4218-1BFF | |
person.identifier.ciencia-id | 2414-9B03-C4BB | |
person.identifier.ciencia-id | 721B-B0EB-7141 | |
person.identifier.orcid | 0000-0002-2519-9859 | |
person.identifier.orcid | 0000-0001-8248-080X | |
person.identifier.orcid | 0000-0002-4560-9544 | |
person.identifier.rid | K-8430-2014 | |
person.identifier.rid | T-2245-2018 | |
person.identifier.rid | A-5824-2012 | |
person.identifier.scopus-author-id | 22734900800 | |
person.identifier.scopus-author-id | 35219107600 | |
person.identifier.scopus-author-id | 7004115775 | |
rcaap.rights | closedAccess | por |
rcaap.type | conferenceObject | por |
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