Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT and University of Washington researchers have created a model to efficiently predict human behavior, which could potentially improve the effectiveness of AI systems working with human collaborators. Humans tend to behave suboptimally when making decisions due to computational constraints and researchers have created this model to account for these human processing limitations. The model…

Scientists from the Massachusetts Institute of Technology (MIT) and the University of Washington have developed an approach to mechanically infer the computational weaknesses of an AI or human agent by observing prior activities. This perceptible agent’s "inference budget" can be used to predict future behavior. Used in forthcoming AI structures, the technique could allow them…

Researchers at MIT and the University of Washington have developed a method to effectively model human behavior, accounting for the computational constraints that limit our decision-making abilities. This model, known as the "inference budget," enables predictions of an individual’s future actions based on their past behaviors. This is particularly useful in AI development, allowing machines…

MIT and the University of Washington researchers have devised a method to model human or machine agent behaviour incorporating unknown computational constraints limiting problem-solving abilities. The technique generates an "inference budget" by observing a few previous actions, effectively predicting future behaviour. Lead author Athul Paul Jacob believes the work could help AI systems better understand…

Researchers at MIT and the University of Washington have devised a model for detecting the computational limitations of an agent, whether human or machine, that obstruct their ability to solve problems. Agents' performance is monitored to calculate their "inference budget", estimates of the time and effort likely to be re-invested in similar tasks, which then…

Researchers from MIT and University of Washington have developed a novel method that utilizes a good model of human behaviour, specifically involving the computational constraints in decision-making, in order to improve the collaboration between AI and humans. The unique technique of their new model permits an automatic inference regarding an agent's computational constraints solely based…

MIT and the University of Washington researchers have developed a model to understand and predict human behavior by considering computational constraints that limit decision-making abilities for both humans and machines. One of the defining points about the model is its ability to derive an agent's computational constraints or "inference budget" based on a few previous…