Researchers from MIT and the University of Washington have developed a model to predict human behavior that accounts for computational constraints. These constraints can impact the problem-solving abilities of both human and artificial intelligences (AI). The model can infer an “inference budget”, a computation of the possible constraints on an agent’s problem-solving methods, by observing…
With the arrival of spring in the Northern Hemisphere, tornado season begins. Despite their appearance being easily recognizable, detecting tornadoes with radar presents a challenge, making it difficult to pinpoint when and why these destructive phenomena occur. A breakthrough may be on the horizon with the TorNet dataset, recently released as open source by researchers…
Researchers from MIT and the University of Washington have created a model that considers the computational constraints of an agent, which could be a human or a machine, resulting in a more accurate prediction of the agent's actions.
Humans, despite having sophisticated decision-making abilities, are often irrational and tend to behave suboptimally due to computational constraints.…
A newly released open-source dataset could revolutionize the prediction and detection of tornadoes by using machine learning. Called TorNet, the Massachusetts Institute of Technology's dataset is composed of radar returns from thousands of tornadoes in the last 10 years. Alongside the dataset, models trained on it, which demonstrate the capacity of machine learning to identify…
Roboticists and researchers at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) are working to develop a system that can train robots to perform tasks in specific environments effectively. The ongoing research aims to help robots deal with disturbances, distractions, and changes in their operational environments. For this, they have proposed a method to create…
Artificial Intelligence (AI) that can work effectively with humans requires a robust model of human behaviour. However, humans often behave irrationally, limiting their decision-making abilities.
Researchers at MIT and the University of Washington have developed a model for predicting an agent's behaviour (whether human or machine) by considering computational constraints that affect problem-solving, which they refer…
Researchers from MIT and the University of Washington have developed a model that predicts human behavior by considering computational constraints that limit an individual's problem-solving ability. This model can be used to estimate a person's ‘inference budget’, or time available for problem-solving, based on their past actions. It can then predict their future behavior.
Drawing from…
Researchers at MIT and the University of Washington have created a model that considers the computational constraints whilst predicting human behavior, which in turn could potentially make AI more efficient collaborators. These constraints can affect an individual or system's problem-solving abilities. The model can automatically infer these constraints by observing only a few prior actions…
MIT and University of Washington researchers have developed a model to understand and predict human behavior, which could improve the effectiveness of AI systems in collaboration with humans. Recognizing the suboptimal nature of human decision-making often due to computational constraints, the researchers created a model that factors in these constraints observed from an agent's previous…