AI can help humans find common ground in democratic deliberation.

Finding agreement through a free exchange of views is often difficult. Collective deliberation can be slow, difficult to scale, and unequally attentive to different voices. In this study, we trained an artificial intelligence (AI) to mediate human deliberation.

The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning.

Artificial intelligence (AI) and reinforcement learning (RL) have improved many areas but are not yet widely adopted in economic policy design, mechanism design, or economics at large. The AI Economist is a two-level, deep RL framework for policy design in which agents and a social planner coadapt. In particular, the AI Economist uses structured curriculum learning to stabilize the challenging two-level, coadaptive learning problem.

Peripherally administered amylin inhibits stress-like behaviors and enhances cognitive performance.

Amylin, a 37 amino acid peptide pancreatic hormone co-secreted with insulin, normalizes the altered eating patterns induced by chronic stress in the rat. Because these stress-induced changes are driven, in part, by brain corticotropin-releasing factor and corticosterone, and because alterations in the activity of these molecules and the stress system are commonly associated with neuropsychiatric diseases like anxiety, depression, and schizophrenia, we hypothesized that amylin might mitigate behavioral states associated with stress. Therefore, we tested the effects of rat amylin in rodent-based behavioral assays sensitive to neuropsychiatric drugs, including anxiolytic, antidepressant, antipsychotic, and cognitive enhancing drugs: stress-induced hyperthermia (SIH); marble burying; elevated plus maze (EPM)), forced swim test (FST), pre-pulse inhibition, and phencyclidine-induced locomotion.