Results 31 to 40 of about 1,501,990 (289)

Rank Aggregation Using Scoring Rules

Proceedings of the AAAI Conference on Artificial Intelligence, 2023
To aggregate rankings into a social ranking, one can use scoring systems such as Plurality, Veto, and Borda. We distinguish three types of methods: ranking by score, ranking by repeatedly choosing a winner that we delete and rank at the top, and ranking by repeatedly choosing a loser that we delete and rank at the bottom. The latter method captures the
Niclas Boehmer, Robert Bredereck, Dominik Peters   +2 more
openaire   +4 more sources

An IRT forecasting model: linking proper scoring rules to item response theory [PDF]

Judgment and Decision Making, 2017
This article proposes an Item Response Theoretical (IRT) forecasting model that incorporates proper scoring rules and provides evaluations of forecasters’ expertise in relation to the features of the specific questions they answer.
Yuanchao Emily Bo, David V. Budescu, Charles Lewis, Philip E. Tetlock, Barbara Mellers   +4 more
doaj   +3 more sources

The Query Complexity of Scoring Rules

ACM Transactions on Economics and Computation, 2014
Proper scoring rules are crucial tools to elicit truthful information from experts. A scoring rule maps X, an expert-provided distribution over the set of all possible states of the world, and ω , a realized state of the world, to a real number representing the expert’s reward for his provided information.
Pablo Daniel Azar, Silvio Micali
openaire   +2 more sources

Epistemic Consequentialism, Veritism, and Scoring Rules [PDF]

, 2023
We argue that there is a tension between two monistic claims that are the core of recent work in epistemic consequentialism. The first is a form of monism about epistemic value, commonly known as veritism: accuracy is the sole final objective to be ...
Daoust, Marc-Kevin, Côté-Bouchard, Charles   +1 more
core   +2 more sources

Weighted scoringRules: Emphasizing Particular Outcomes When Evaluating Probabilistic Forecasts

Journal of Statistical Software
When predicting future events, it is common to issue forecasts that are probabilistic, in the form of probability distributions over the range of possible outcomes. Such forecasts can be evaluated using proper scoring rules.
Sam Allen
doaj   +1 more source

Scoring rules and competitive behavior in best value construction auctions [PDF]

, 2016
This paper examines the extent to which engineers can influence the competitive behavior of bidders in Best Value or multi-attribute construction auctions, where both the (dollar) bid and technical non-price criteria are scored according to a scoring ...
Martin Skitmore (7177769), Eugenio Pellicer (7176722), Skitmore, Martin, Zhang, Xiaoling, Pablo Ballesteros-Perez (4862347), Pellicer, Eugenio, Skitmore, M., Zhang, X., Xiaoling Zhang (420384), Ballesteros-Pérez, Pablo   +9 more
core   +2 more sources

Cycles in Team Tennis and Other Paired-Element Contests

Games, 2017
Team Tennis competitions produce aggregate scores for teams, and thus team rankings, based on head-to-head matchups of individual team members. Similar scoring rules can be used to rank any two groups that must be compared on the basis of paired elements.
Shane Sanders, Justin Ehrlich, James Boudreau   +2 more
doaj   +1 more source

Accuracy, Verisimilitude, and Scoring Rules [PDF]

, 2018
Suppose that beliefs come in degrees. How should we then measure the accuracy of these degrees of belief? Scoring rules are usually thought to be the mathematical tool appropriate for this job.
Dunn, Jeffrey
core   +2 more sources

Evaluating probabilistic forecasts for maritime engineering operations

Data-Centric Engineering, 2023
Maritime engineering relies on model forecasts for many different processes, including meteorological and oceanographic forcings, structural responses, and energy demands. Understanding the performance and evaluation of such forecasting models is crucial
Lachlan Astfalck, Michael Bertolacci, Edward Cripps   +2 more
doaj   +1 more source

Convergence of Iterative Scoring Rules

Journal of Artificial Intelligence Research, 2016
In multiagent systems, social choice functions can help aggregate the distinct preferences that agents have over alternatives, enabling them to settle on a single choice. Despite the basic manipulability of all reasonable voting systems, it would still be desirable to find ways to reach plausible outcomes, which are stable states, i.e., a situation ...
Omer Lev, Jeffrey S. Rosenschein
openaire   +3 more sources