DeepAI AI Chat
Log In Sign Up

Modeling Human Inference of Others' Intentions in Complex Situations with Plan Predictability Bias

05/16/2018
by   Ryo Nakahashi, et al.
National Institute of Informatics
0

A recent approach based on Bayesian inverse planning for the "theory of mind" has shown good performance in modeling human cognition. However, perfect inverse planning differs from human cognition during one kind of complex tasks due to human bounded rationality. One example is an environment in which there are many available plans for achieving a specific goal. We propose a "plan predictability oriented model" as a model of inferring other peoples' goals in complex environments. This model adds the bias that people prefer predictable plans. This bias is calculated with simple plan prediction. We tested this model with a behavioral experiment in which humans observed the partial path of goal-directed actions. Our model had a higher correlation with human inference. We also confirmed the robustness of our model with complex tasks and determined that it can be improved by taking account of individual differences in "bounded rationality".

READ FULL TEXT
06/24/2021

Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind

When inferring the goals that others are trying to achieve, people intui...
06/05/2013

Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior

We aim to reduce the burden of programming and deploying autonomous syst...
09/27/2017

The detour problem in a stochastic environment: Tolman revisited

We designed a grid world task to study human planning and re-planning be...
12/03/2015

Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model

Most human behaviors consist of multiple parts, steps, or subtasks. Thes...
07/13/2018

Exploring Hierarchy-Aware Inverse Reinforcement Learning

We introduce a new generative model for human planning under the Bayesia...
12/02/2021

Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics

How to build AI that understands human intentions, and uses this knowled...
02/14/2018

Generating Plans that Predict Themselves

Collaboration requires coordination, and we coordinate by anticipating o...