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Article
Open AccessTacticAI: an AI assistant for football tactics
Identifying key patterns of tactics implemented by rival teams, and develo** effective responses, lies at the heart of modern football. However, doing so algorithmically remains an open research challenge. T...
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Article
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
Predictive artificial intelligence (AI) systems based on deep learning have been shown to achieve expert-level identification of diseases in multiple medical imaging settings, but can make errors in cases accu...
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Article
Open AccessNegotiation and honesty in artificial intelligence methods for the board game of Diplomacy
The success of human civilization is rooted in our ability to cooperate by communicating and making joint plans. We study how artificial agents may use communication to better cooperate in Diplomacy, a long-st...
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Article
Open AccessDesigning all-pay auctions using deep learning and multi-agent simulation
We propose a multi-agent learning approach for designing crowdsourcing contests and All-Pay auctions. Prizes in contests incentivise contestants to expend effort on their entries, with different prize allocati...
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Article
Strategic behavior and learning in all-pay auctions: an empirical study using crowdsourced data
We analyze human behavior in crowdsourcing contests using an all-pay auction model where all participants exert effort, but only the highest bidder receives the reward. We let workers sourced from Amazon Mecha...
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Article
Analyzing Power in Weighted Voting Games with Super-Increasing Weights
Weighted voting games (WVGs) are a class of cooperative games that capture settings of group decision making in various domains, such as parliaments or committees. Earlier work has revealed that the effective ...
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Chapter and Conference Paper
A Neural Architecture for Multi-label Text Classification
We propose a novel supervised approach for multi-label text classification, which is based on a neural network architecture consisting of a single encoder and multiple classifier heads. Our method predicts which
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Chapter and Conference Paper
Analyzing Power in Weighted Voting Games with Super-Increasing Weights
Weighted voting games (WVGs) are a class of cooperative games that capture settings of group decision making in various domains, such as parliaments or committees. Earlier work has revealed that the effective ...
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Article
Manifestations of user personality in website choice and behaviour on online social networks
Individual differences in personality affect users’ online activities as much as they do in the offline world. This work, based on a sample of over a third of a million users, examines how users’ behaviour in ...
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Chapter and Conference Paper
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
We propose a probabilistic graphical model for predicting student attainment in web-based education. We empirically evaluate our model on a crowdsourced dataset with students and teachers; Teachers prepared le...
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Chapter and Conference Paper
Strong Price of Anarchy, Utility Games and Coalitional Dynamics
We introduce a framework for studying the effect of cooperation on the quality of outcomes in utility games. Our framework is a coalitional analog of the smoothness framework of non-cooperative games. Coalitio...
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Chapter and Conference Paper
Reliability Weighted Voting Games
We examine agent failures in weighted voting games. In our cooperative game model, R-WVG, each agent has a weight and a survival probability, and the value of an agent coalition is the probability that its sur...
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Chapter and Conference Paper
Incentives and Efficiency in Uncertain Collaborative Environments
We consider collaborative systems where users make contributions across multiple available projects and are rewarded for their contributions in individual projects according to a local sharing of the value pro...
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Article
Proof systems and transformation games
We introduce Transformation Games (TGs), a form of coalitional game in which players are endowed with sets of initial resources, and have capabilities allowing them to derive certain output resources, given certa...
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Chapter and Conference Paper
Sketching for Big Data Recommender Systems Using Fast Pseudo-random Fingerprints
A key building block for collaborative filtering recommender systems is finding users with similar consumption patterns. Given access to the full data regarding the items consumed by each user, one can directl...
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Chapter and Conference Paper
Agent Failures in Totally Balanced Games and Convex Games
We examine the impact of independent agents failures on the solutions of cooperative games, focusing on totally balanced games and the more specific subclass of convex games. We follow the reliability extensio...
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Chapter and Conference Paper
The Least-Core of Threshold Network Flow Games
Network flow games model domains where a commodity can flow through a network controlled by selfish agents. Threshold Network Flow Games (TNFGs) are a form of such games where an agent coalition wins if it man...
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Article
Approximating power indices: theoretical and empirical analysis
Many multiagent domains where cooperation among agents is crucial to achieving a common goal can be modeled as coalitional games. However, in many of these domains, agents are unequal in their power to affect ...
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Chapter and Conference Paper
Proof Systems and Transformation Games
We introduce Transformation Games (TGs), a form of coalitional game in which players are endowed with sets of initial resources, and have capabilities allowing them to derive certain output resources, given certa...
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Chapter and Conference Paper
The Good, The Bad and The Cautious: Safety Level Cooperative Games
We study safety level coalitions in competitive games. Given a normal form game, we define a corresponding cooperative game with transferable utility, where the value of each coalition is determined by the safety...
