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THE USE OF FUZZY COGNITIVE AGENTS TO SIMULATE TRADING PATTERNS WITHIN THE LIBERALISED UK ELECTRICITY MARKET

机译:模糊认知代理商在自由化英国电力市场中模拟交易模式

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摘要

The world is becoming increasingly competitive by the action of liberalised national, regional, or global markets. Electrical power systems are not immune to such change, and many national power systems have are now subject to the influence of overtly neo-liberal market models. The resulting electrical markets are subject to increasingly complex rule bases put in place to ensure that individual consumer and national imperatives are met. Further, these markets are also increasingly moving towards real time trading, reducing the time available for critical decisions to be made. In an effort to develop a deeper understanding of these evolving markets and to create effective system support tools for market participants, many simulation techniques such as neural networks and expert systems have been applied. In this paper we report our efforts to develop an effective simulation platform using Fuzzy Cognitive Agents. Our approach is based upon the encapsulation of Fuzzy Cognitive Maps (FCM) generated on the Matlab Simulink platform within commercially available Intelligent Agent software. The approach permits the retention of the visually simple but rich relational complexity of the Matlab Simulink based FCM, whilst enhancing their domain applicability by integrating it with the relational and structural flexibility of the Intelligent Agents. We will describe a potential architecture for the Fuzzy Cognitive Agent and report on our first attempts to integrate the Matlab Simulink based FCM with the Jack Intelligent Agent Toolkit will be presented.
机译:通过自由化国家,区域或全球市场的行动,世界变得越来越竞争。电力系统对这种变化并不免疫,而且许多国家电力系统现在都受到明显新自由主义市场模型的影响。由此产生的电气市场受到越来越复杂的规则基础,以确保满足各个消费者和国家的必要性。此外,这些市场也越来越多地迁移到实时交易,减少了可用于批判性决定的时间。为了开发更深入的了解这些不断发展的市场并为市场参与者创建有效的系统支持工具,许多仿真技术(如神经网络和专家系统)已经应用。在本文中,我们努力使用模糊认知代理商开发有效的仿真平台。我们的方法基于在商业上可用的智能代理软件中的Matlab Simulink平台上生成的模糊认知地图(FCM)的封装。该方法允许保留基于Matlab Simulink的FCM的视觉上简单但丰富的关系复杂性,同时通过将其与智能代理的关系和结构灵活性集成来增强其域适用性。我们将描述模糊认知代理的潜在架构,并在我们第一次尝试使用Jack智能代理工具包进行集成MATLAB Simulink基于FCM的尝试。

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