We outline how to create a mechanism that provides an optimal way to elicit, from an arbitrary group of experts, the probability of the truth of an arbitrary logical proposition together with collective information that has an explicit form and interprets this probability. Namely, we provide strong arguments for the possibility of the development of a self-resolving prediction market with play money that incentivizes direct information exchange between experts. Such a system could, in particular, motivate experts from all over the world to collectively solve scientific or medical problems in a very efficient manner. In our main considerations about real experts, they are not assumed to be Bayesian and their behavior is described by utilitie...
We study a setting where Bayesian agents with a common prior have private information related to an ...
AbstractAn intelligent agent will often be uncertain about various properties of its environment, an...
Decision theory formally solves the problem of rational agents in uncertain worlds if the true envir...
Many important real-world decision-making problems involve group interactions among individuals with...
Collective intelligence is the ability of a group to perform more effectively than any individual al...
Many important real-world decision-making problems involve group interactions among individuals with...
Many important real-world decision making prob- lems involve group interactions among individuals wi...
Theoretical results underpinning the wisdom of the crowd, such as the Condorcet Jury Theorem, point ...
In this paper, we propose a new mechanism - the Disagreement Mechanism - which elicits privately-hel...
Abstract—Decision making in a semistructured or unstructured problem should consist of a combination...
This work explores a sequential decision making problem with agents having diverse expertise and mis...
AbstractWe study the computational aspects of information elicitation mechanisms in which a principa...
Peer prediction mechanisms allow the truthful elicitation of private signals (e.g., experiences, or ...
Scientific models structure our perception of reality. This paper studies how we choose among them u...
Due to growing automatization, and interconnectivity of decision-makers worldwide, global problems w...
We study a setting where Bayesian agents with a common prior have private information related to an ...
AbstractAn intelligent agent will often be uncertain about various properties of its environment, an...
Decision theory formally solves the problem of rational agents in uncertain worlds if the true envir...
Many important real-world decision-making problems involve group interactions among individuals with...
Collective intelligence is the ability of a group to perform more effectively than any individual al...
Many important real-world decision-making problems involve group interactions among individuals with...
Many important real-world decision making prob- lems involve group interactions among individuals wi...
Theoretical results underpinning the wisdom of the crowd, such as the Condorcet Jury Theorem, point ...
In this paper, we propose a new mechanism - the Disagreement Mechanism - which elicits privately-hel...
Abstract—Decision making in a semistructured or unstructured problem should consist of a combination...
This work explores a sequential decision making problem with agents having diverse expertise and mis...
AbstractWe study the computational aspects of information elicitation mechanisms in which a principa...
Peer prediction mechanisms allow the truthful elicitation of private signals (e.g., experiences, or ...
Scientific models structure our perception of reality. This paper studies how we choose among them u...
Due to growing automatization, and interconnectivity of decision-makers worldwide, global problems w...
We study a setting where Bayesian agents with a common prior have private information related to an ...
AbstractAn intelligent agent will often be uncertain about various properties of its environment, an...
Decision theory formally solves the problem of rational agents in uncertain worlds if the true envir...