Monte-Carlo tree search (MCTS) has been drawing great interest in recent years for planning and learning under uncertainty. One of the key challenges is the trade-off between exploration and exploitation. To address this, we present a novel approach for MCTS using Bayesian mixture modeling and inference based Thompson sampling and apply it to the problem of online planning in MDPs. Our algorith...

A crucial task in social interaction involves understanding subjective mental states. Here we report two experiments with toddlers exploring whether they can use statistical evidence to infer the subjective nature of preferences. We found that 2-year-olds were likely to interpret another person's nonrandom sampling behavior as a cue for a preference different from their own. When there was no a...

Humans and other animals need to make inferences about their environment under constraints of limited time, knowledge, and computational capacities. However, most theories of inductive inferences model the human mind as a supercomputer like a Laplacean demon, equipped with unlimited time, knowledge, and computational capacities. In this article I review models of fast and frugal inference, that...

My article addresses the qualities of “good” literature and how an understanding of the nature of literary devices, so-called “literariness”, can enhance the reading experience. Focusing on Hans Rosling’s Factfulness (2018), I discuss some of the most important features of good writing. Six literary devices have been selected for special attention: point of view, tone, amplification, anecdotes,...

Insertions and deletions (indels) are considered to be rare evolutionary events, the analysis of which may resolve controversial phylogenetic relationships. Indeed, indel characters are often assumed to be less homoplastic than amino acid and nucleotide substitutions and, consequently, more reliable markers for phylogenetic reconstruction. In this study, we analyzed indels from over 1,000 metaz...