Conditional, Hierarchical, Multi-Agent Preferences
نویسندگان
چکیده
We develop a revealed-preference theory for multiple agents. Some features of our construction, which draws heavily on Jeffrey's utility theory and on formal constructions by Domotor and Fishburn, are as follows. First, our system enjoys the "small-worlds" property. Second, it represents hierarchical preferences. As a result our expected utility representation is reminscent of type constructions in game theory, except that our construction features higher order utilities as well as higher order probabilities. Finally, our construction includes the representation of conditional preferences, including counterfactual preferences.
منابع مشابه
Conditional Preferences for Social Systems
The design of artificial decision-making systems must be founded on some notion of rationality. Conventional multi-agent decision-making methodologies, such as von Neumann-Morgenstern game theory, are based on the paradigm of individual rationality, which requires decision makers to take the action that is best for themselves, regardless of its effect on other decision makers. Relaxing the dema...
متن کاملThree steps method for portfolio optimization by using Conditional Value at Risk measure
Comprehensive methods must be used for portfolio optimization. For this purpose, financial data of stock companies, inputs and outputs variable, the risk measure and investor’s preferences must be considered. By considering these items, we propose a method for portfolio optimization. In this paper, we used financial data of companies for screening the stock companies. We used Conditional Value ...
متن کاملReasoning with PCP-nets in a Multi-Agent Context
PCP-nets generalize CP-nets to model conditional preferences with probabilistic uncertainty. In this paper we use PCP-nets in a multiagent context to compactly represent a collection of CP-nets, thus using probabilistic uncertainty to reconcile possibly conflicting qualitative preferences expressed by a group of agents. We then study two key preference reasoning tasks: finding an optimal outcom...
متن کاملUncertainty analysis of hierarchical granular structures for multi-granulation typical hesitant fuzzy approximation space
Hierarchical structures and uncertainty measures are two main aspects in granular computing, approximate reasoning and cognitive process. Typical hesitant fuzzy sets, as a prime extension of fuzzy sets, are more flexible to reflect the hesitance and ambiguity in knowledge representation and decision making. In this paper, we mainly investigate the hierarchical structures and uncertainty measure...
متن کاملMulti-Criteria Risk-Benefit Analysis of Health Care Management
Abstract Purpose of this paper: The objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach to evaluate the most suitable RFID-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. Design/methodology/approach: R...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1998