235 citations · 339 across the 8 of their papers we have counts for
8 papers
Cooperating with Machines
Jacob W. Crandall, Mayada Oudah, Tennom +7
Since Alan Turing envisioned Artificial Intelligence (AI) [1], a major driving force behind technical progress has been competition with human cognition. Historical milestones have…
Using Text Mining To Analyze Real Estate Classifieds
Sherief Abdallah
Many brokers have adapted their operation to exploit the potential of the web. Despite the importance of the real estate classifieds, there has been little work in analyzing such d…
Learning in Repeated Games: Human Versus Machine
Fatimah Ishowo-Oloko, Jacob Crandall, Manuel Cebrian +2
While Artificial Intelligence has successfully outperformed humans in complex combinatorial games (such as chess and checkers), humans have retained their supremacy in social inter…
A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
Sherief Abdallah, Victor Lesser
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents decisions. Due to the complexity of the problem, the majority of the previously de…
Corruption Drives the Emergence of Civil Society
Sherief Abdallah, Rasha Sayed, Iyad Rahwan +4
Peer punishment of free-riders (defectors) is a key mechanism for promoting cooperation in society. However, it is highly unstable since some cooperators may contribute to a common…
A New Methodology for Generalizing Unweighted Network Measures
Sherief Abdallah
Several important complex network measures that helped discovering common patterns across real-world networks ignore edge weights, an important information in real-world networks.…
Why Global Performance is a Poor Metric for Verifying Convergence of Multi-agent Learning
Sherief Abdallah
Experimental verification has been the method of choice for verifying the stability of a multi-agent reinforcement learning (MARL) algorithm as the number of agents grows and theor…
The Continuous Node Degree: a New Measure for Complex Networks
Sherief Abdallah
A key measure that has been used extensively in analyzing complex networks is the degree of a node (the number of the node's neighbors). Because of its discrete nature, when the de…