1 code implementation • 7 May 2023 • Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
However, switching between different levels of abstraction requires evaluating a trade-off between the consistency and the information loss among different models.
1 code implementation • 1 Aug 2022 • Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
Working with causal models at different levels of abstraction is an important feature of science.
no code implementations • 21 Jul 2021 • Omer Lev, Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
In the peer selection problem a group of agents must select a subset of themselves as winners for, e. g., peer-reviewed grants or prizes.
1 code implementation • 30 Apr 2020 • Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
In particular, it does not require an explicit partitioning of the agents, as previous algorithms in the literature.
no code implementations • 13 Dec 2019 • Charlotte Roman, Paolo Turrini
Traffic congestion games abstract away from the costs of junctions in transport networks, yet, in urban environments, these often impact journey times significantly.
no code implementations • 25 Feb 2019 • Sabrina Evans, Paolo Turrini
We study strategic similarity of game positions in two-player extensive games of perfect information, by looking at the structure of their local game trees, with the aim of improving the performance of game playing agents in detecting forcing continuations.
no code implementations • 12 Feb 2015 • Paolo Turrini
We introduce a class of extensive form games where players might not be able to foresee the possible consequences of their decisions and form a model of their opponents which they exploit to achieve a more profitable outcome.
