Computer Science and Artificial Intelligence Laboratory (CSAIL)

Researchers from MIT and the University of Washington have created a model that can accurately predict and assess human and machine behaviour to support more effective AI-human collaboration. The model can compute the behavioural constraints of an individual or machine by evaluating data related to previous actions. The resulting "inference budget" can be utilised to…

Researchers at MIT and the University of Washington have created a model to predict the decision-making behavior of both human and AI agents, even in the presence of unknown computational constraints. The system is designed to infer the 'inference budget' of a given agent, in other words, how much time or computational resource they are…

Researchers at MIT and the University of Washington have developed a method to model the behavior of agents, either human or artificial, accounting for potential unknown computational constraints that could affect their problem-solving abilities. This model can predict an agent’s future behavior based on a few instances of their past actions - what they term…

To construct AI systems that can effectively collaborate with humans, a comprehensive model of human behavior is pivotal, however, humans often exhibit suboptimal decision-making. Linking this irrationality to computational limitations, researchers from the Massachusetts Institute of Technology (MIT) and the University of Washington have presented an innovative technique to model the behavior of a human…

Researchers from MIT and the University of Washington have developed a model to predict the behavior of human and artificial intelligence (AI) agents, taking into account computational constraints. The model automatically deduces these constraints by processing previous actions of the agent. This "inference budget" can help predict future behavior of the agent; for instance, it…

Researchers at the Massachusetts Institute of Technology (MIT) and the University of Washington have developed a model that accounts for the computational constraints often experienced by decision-making agents, both human and machine. This model auto-infers an agent's computational restrictions by analysing traces of past actions, which, in turn, can be used to predict future behaviour. In…