Strategic Signaling and Free Information Disclosure in Auctions

Authors: Shani Alkoby, David Sarne, Igal Milchtaich

AAAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental Numerical Illustration We continue by illustrating the benefit for the information provider in free information disclosure (i.e., signaling in our model) and the effect on social welfare and the different players profit. Since the goal of the numerical examples is primarily illustrative, we use abstract synthetic settings where different bidder types are arbitrarily assigned their private value for any possible state of the world.
Researcher Affiliation Academia Shani Alkoby Bar-Ilan University, Israel shani.alkoby@gmail.com, David Sarne Bar-Ilan University, Israel sarned@cs.biu.ac.il, Igal Milchtaich Bar-Ilan University, Israel igal.milchtaich@biu.ac.il
Pseudocode No The paper does not contain a pseudocode block or a clearly labeled algorithm.
Open Source Code No The paper does not provide any explicit statement about releasing source code or a link to a code repository for the described methodology.
Open Datasets No The paper uses abstract synthetic settings with arbitrarily assigned private values for numerical illustration (e.g., Table 1, Table 2, Table 3). These are custom-defined examples rather than references to publicly available datasets with concrete access information.
Dataset Splits No The paper does not provide specific details on training, validation, or test dataset splits. The numerical illustrations use predefined settings rather than partitioned datasets.
Hardware Specification No The paper does not provide specific details about the hardware used to run the numerical illustrations or simulations.
Software Dependencies No The paper does not specify any software dependencies with version numbers used for its analysis or numerical illustrations.
Experiment Setup Yes The paper provides specific settings for its numerical illustrations, such as the number of bidders (n=4), bidder type probabilities (q(Types)), state of the world probabilities, and private values (Vt(x)) in tables like Table 1, Table 2, and Table 3. These serve as the detailed experimental setup parameters for the simulations.