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Willemien Kets

dblp:26/11119 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2014
0000-0002-4914-9426ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorTheory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
3 papers
Knowledge representation and reasoning · 64% Robot manipulation · 36%
Theoretical computer science
2 papers
Logic in computer science · 56% Algorithmic game theory and mechanism design · 44%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › robot design › mechanism design
prediction markets
0.212014
Betting Strategies, Market Selection, and the Wisdom of Crowds · AAAI 2014
Knowledge, reasoning and agents › Knowledge representation and reasoning
reasoning about knowledge and belief
0.112012
Ambiguous Language and Differences in Beliefs · KR 2012
Logic in computer science
epistemic logic
0.112012
Ambiguous Language and Differences in Beliefs · KR 2012
Algorithmic game theory and mechanism design
market dynamics
0.112014
Betting Strategies, Market Selection, and the Wisdom of Crowds · AAAI 2014
Algorithmic game theory and mechanism design › prediction markets › information aggregation
wisdom of the crowds
0.112014
Betting Strategies, Market Selection, and the Wisdom of Crowds · AAAI 2014

Methods — techniques the papers use, named apart from their topics

kelly betting · 0.4constant relative risk aversion · 0.4bayesian updating · 0.4
YearPublicationVenuePosition
2014 Betting Strategies, Market Selection, and the Wisdom of Crowds
abstract
We investigate the limiting behavior of trader wealth and prices in a simple prediction market with a finite set of participants having heterogeneous beliefs. Traders bet repeatedly on the outcome of a binary event with fixed Bernoulli success probability. A class of strategies, including (fractional) Kelly betting and constant relative risk aversion (CRRA) are considered. We show that when traders are willing to risk only a small fraction of their wealth in any period, belief heterogeneity can persist indefinitely; if bets are large in proportion to wealth then only the most accurate belief type survives. The market price is more accurate in the long run when traders with less accurate beliefs also survive. That is, the survival of traders with heterogeneous beliefs, some less accurate than others, allows the market price to better reflect the objective probability of the event in the long run.
Willemien Kets, David M. Pennock, Rajiv Sethi, Nisarg Shah 0001
AAAI1
2014 A logic for reasoning about ambiguity
Joseph Y. Halpern, Willemien Kets
Artif. Intell.2
2014 Erratum to 'A logic for reasoning about ambiguity' [Artificial Intelligence 209 (2014) 1-10]
Joseph Y. Halpern, Willemien Kets
Artif. Intell.2
2012 Ambiguous Language and Differences in Beliefs
Joseph Y. Halpern, Willemien Kets
KR2