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| Policy Design for Competitive Retail Electric Institutions: Artificial Intelligence Representations for a Common Property Resource Approach | |
| Pandit, Nitin S. | |
| 出版年 | 1998 |
| 学位类型 | 博士 |
| 导师 | Haynes, Kingsley E. |
| 学位授予单位 | George Mason University |
| 英文摘要 | The U.S. electricity industry is being restructured to increase competition. Although existing policies may lead to efficient wholesale institutions, designing policies for the retail level is more complex because of intricate interactions between individuals and quasi-monopolistic institutions. It is argued that Hirshman's ideas of "exit" and "voice" (Hirshman, 1970) provide powerful abstractions for design of retail institutions. While competition is a known mechanism of "exit," a novel design of the "voice" mechanism is demonstrated through an artificial intelligence (AI) based software process model. The process model of "voice" in retail institutions is designed within the economic context of electricity distribution — a common property resource (CPR), characterized by technological uncertainty and path-dependency. First, it is argued that participant feedback (voice) has to be used effectively to manage the CPR. Further, it is noted that the decision process, of using participant feedback (voice) to incrementally manage uncertainty and path-dependencies, is non-monotonic because it requires the decision makers to often retract previously made assumptions and decisions. An AI based process model of "voice" is developed using an assumption-based truth maintenance system. The model can emulate the non-monotonic decision making process and therefore assist in decision support. Such a systematic framework is flexible, consistent, and easily reorganized as assumptions change. It can provide an effective, formal "voice" mechanism to the retail customers and improve institutional performance. |
| 英文关键词 | Common property resource Decentralization Policy design Retail electric institutions Truth maintenance |
| 语种 | 英语 |
| 国家 | United States |
| 来源学科分类 | Public policy; Energy; Artificial intelligence |
| URL | https://pqdtopen.proquest.com/doc/1861226003.html?FMT=AI |
| 来源机构 | George Mason University |
| 资源类型 | 学位论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/244051 |
| 推荐引用方式 GB/T 7714 | Pandit, Nitin S.. Policy Design for Competitive Retail Electric Institutions: Artificial Intelligence Representations for a Common Property Resource Approach[D]. George Mason University,1998. |
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