Gestures are an integral part of speaking. They allow expression of thoughts that are difficult to articulate. They promote fluency of speech. Can gestures also facilitate reasoning, problem solving, and other cognitive processes? In the present task, people assembled an object and then made a video explaining how to assemble, using speech and gesture or gesture alone. A control group merely re...

While intentions are at the center of communication theories such as Relevance Theory, and also of theories of action in general, the interaction between communicative and non-communicative intentions has not been much investigated within the relevance-theoretic framework. This paper discusses Bratman’s (1987) Theory of Planning, which recognizes the critical role of intentions in governing our...

We present a way to mix the lower control of agents with the high level specifications of their goals. This paper addresses various topics required to animate virtual humans in a distributed way such as combining primary actions into tasks, using verbal communication between virtual humans and directing them with high level orders. Our models have been tested into a multi-languages / multi-modu...

The paper contains information about the essence of manipulation as a technology communicative influence, considers main approaches to understanding concept «manipulation». It is proposed consider «manipulation» in two aspects: physical (object influence - things) and psychological consciousness). «benefit from use manipulative techniques» should be considered context achieving goals set by sub...

The goal of the “Emotion in Music” task in MediaEval 2015 is to automatically estimate the emotions expressed by music (in terms of Arousal and Valence) in a time-continuous fashion. In this paper, considering the high context correlation among the music feature sequence, we study several multiscale approaches at different levels, including acoustic feature learning with Deep Brief Networks (DB...

We discuss the relative merits of optimistic and randomized approaches to exploration in reinforcement learning. Optimistic approaches presented in the literature apply an optimistic boost to the value estimate at each state-action pair and select actions that are greedy with respect to the resulting optimistic value function. Randomized approaches sample from among statistically plausible valu...

Introduction An influential conjecture in neuroscience states that a brain organized according to principles of hierarchical predictive coding (HPC) can effectively and efficiently perform genuine Bayesian inferences, providing a neurally plausible account of how Bayesian models of cogntion may be physically implemented in the brain. However, each key subcomputation invoked in HPC potentially h...