Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings ofthe 44th International Universities Power Engineering Conference (UPEC2009) |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780947649449 |
| ISBN (Print) | 9781424468232 |
| Publication status | Published - 2009 |
| Event | 44th International Universities Power Engineering Conference - Glasgow, United Kingdom Duration: 1 Sep 2009 → 4 Sep 2009 Conference number: 44 |
Conference
| Conference | 44th International Universities Power Engineering Conference |
|---|---|
| Abbreviated title | UPEC 2009 |
| Country | United Kingdom |
| City | Glasgow |
| Period | 1/09/09 → 4/09/09 |
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The realisation of Fuzzy Cognitive Agents representing electricity market participants. / Borrie, David; Ozveren, Cuneyt Suheyl.
Proceedings ofthe 44th International Universities Power Engineering Conference (UPEC2009). Piscataway, NJ : IEEE , 2009. p. 1-5.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - The realisation of Fuzzy Cognitive Agents representing electricity market participants
AU - Borrie, David
AU - Ozveren, Cuneyt Suheyl
PY - 2009
Y1 - 2009
N2 - Worldwide trading markets are becoming increasingly complex and competitive making it increasingly difficult for participants to optimise their trading actions. Electrical trading markets are no exception to this phenomenon and are faced with the additional and combined uncertainties associated with need to continuously balance supply and demand and trading decisions actions which are moving ever closer to real time. In response, many differing computer market simulation techniques have been investigated to develop either a deeper understanding of these evolving markets or to create effective system support tools. In this paper we present a novel new approach within which Simulink1 - a graphical block diagramming tool and a customizable set of block libraries was used to model fuzzy cognitive maps encoding individual market trading participants, then encapsulated within AI-Agent type architecture. These fuzzy cognitive maps dynamically interact with each other by the communication protocols of the AI-Agent. This new paradigm is termed a Fuzzy Cognitive Agent, and multiple agents of this type a Fuzzy Cognitive Agency.
AB - Worldwide trading markets are becoming increasingly complex and competitive making it increasingly difficult for participants to optimise their trading actions. Electrical trading markets are no exception to this phenomenon and are faced with the additional and combined uncertainties associated with need to continuously balance supply and demand and trading decisions actions which are moving ever closer to real time. In response, many differing computer market simulation techniques have been investigated to develop either a deeper understanding of these evolving markets or to create effective system support tools. In this paper we present a novel new approach within which Simulink1 - a graphical block diagramming tool and a customizable set of block libraries was used to model fuzzy cognitive maps encoding individual market trading participants, then encapsulated within AI-Agent type architecture. These fuzzy cognitive maps dynamically interact with each other by the communication protocols of the AI-Agent. This new paradigm is termed a Fuzzy Cognitive Agent, and multiple agents of this type a Fuzzy Cognitive Agency.
M3 - Conference contribution
SN - 9781424468232
SP - 1
EP - 5
BT - Proceedings ofthe 44th International Universities Power Engineering Conference (UPEC2009)
PB - IEEE
CY - Piscataway, NJ
ER -