< Back to Article

Biosensor Approach to Psychopathology Classification

Figure 6

Agent-vs-agent validation of clustering scheme.

A) Depiction of agent-vs-agent trust task. Specifically, a k-nearest neighbors agent that samples healthy investor behavior plays the multi-round trust game against a -nearest neighbors agent that samples healthy or BPD trustee behavior for ten rounds [6]. B) Depiction of the space of sampled interactions. The sampling agent uses the records of investment and return from the trust game as played by either (i) healthy trustees, (ii) healthy investors, or (iii) BPD trustees depending on the specific agent used. The agent starts with a vector representing several immediate past choices for the game that is currently playing (this vector forms the center of the circle), and selects several records for which the corresponding vectors have the smallest Euclidean distance to the current vector (these vectors are inside the circle). C) The sampling agent finds the next investment (or return) ratios for all the closest recorded game trajectories. In Panel C, these ratios represent . D) The agent then selects, with equal probability, one of these “next” ratios and returns it as the investment (or return) ratio for the game that is currently playing.

doi: https://doi.org/10.1371/journal.pcbi.1000966.g006