Aggregating value ranges: preference elicitation and truthfulness
نویسندگان
چکیده
منابع مشابه
Preference elicitation and learning
Preferences are fundamental to decision processes, because decision analysts must account for the preferences of the stakeholders who participate in these processes and are impacted by the decision outcomes. To support the elicitation of stakeholder preferences, many models, procedures and methodologies have been proposed. These approaches to preference elicitation and learning will become more...
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In markets such as digital advertising auctions, bidders want to maximize value rather than payoff. This is different to the utility functions typically assumed in auction theory and leads to different strategies and outcomes. We refer to bidders who maximize value as value bidders. While simple single-object auction formats are truthful, standard multi-object auction formats allow for manipula...
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There is wide-ranging evidence, much of it deriving from economics experiments, of ‘anomalies’ in behaviour that challenge standard preference theories. This paper explores the implications of these anomalies for preference elicitation methods. Because methods that are used to inform public policy, such as contingent valuation, are based on standard preference theories, their validity may be ca...
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When searching for configurable products, helping users to state their preferences is a crucial task. It involves helping users to understand the space of feasible configurations to decide on realistic preferences. However, many computer tools do not afford users to adequately focus on fundamental decision objectives, reveal hidden preferences, revise conflicting preferences, or explicitly reas...
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ژورنال
عنوان ژورنال: Autonomous Agents and Multi-Agent Systems
سال: 2009
ISSN: 1387-2532,1573-7454
DOI: 10.1007/s10458-009-9118-5