Individual decision to accept a new idea or product is often driven by both self-adoption and
others' persuasion, which has been simulated using a double threshold model [Huang et al …

We present a new algorithm for exactly solving decision-making problems represented as
an influence diagram. We do not require the usual assumptions of no forgetting and …

A common assumption in the social learning literature is that agents exchange information in
an unselfish manner. In this work, we consider the scenario where a subset of agents aims …

Mitigating misinformation on social media is an unresolved challenge, particularly because
of the complexity of information dissemination. To this end, Multivariate Hawkes Processes …

Using a graphical discrete dynamical system to model a networked social system, the
problem of inferring the behavior of the system can be formulated as the problem of learning …

With the availability of significant amount of data, data-driven decision making becomes an
alternative way for solving complex multiagent decision problems. Instead of using domain …

Stochastic elements in reinforcement learning (RL) have shown promise to improve
exploration and handling of uncertainty, such as the utilization of stochastic weights in …

This paper investigates causal influences between agents linked by a social graph and
interacting over time. In particular, the work examines the dynamics of social learning …

There is an increasing amount of information posted on Web, especially on social media
during real world events. Likewise, there is a vast amount of information and opinions …

As a result of communication technologies, the main intelligence challenge has shifted from
collecting data to efficiently processing it so that relevant, and only relevant, information is …