Titlebook: Anticipatory Behavior in Adaptive Learning Systems; From Psychological T Giovanni Pezzulo,Martin V. Butz,Gianluca Baldassar Conference proc

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Trigger-Point

Anemia

Anticipative Control of Voluntary Action: Towards a Computational Modelt can emerge from experience is the topic of the ideomotor approach to human action. The approach holds that movements are automatically integrated with representations of their sensory effects, so that reactivating the representation of a wanted effect by “thinking of it” leads to a reactivation of

Monotonous

Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, predict or compress the data in a better way, thus making it subjectively simpler and more . Curiosity is the desire to create or discover more non-random, non-arbitrary, regular data that is novel and . not in the traditional sense of Boltzmann and Shannon but in the sense that it allows for compr

放棄

Steps to a Cyber-Physical Model of Networked Embodied Anticipatory Behaviorgeneral and aims to be a, quite preliminary, step towards a general theory of cognitive adaptation to the environment of natural intelligent systems and to provide a possible approach to develop new more autonomous artificial systems. The main purpose of this discussion outline is to identify at lea

不怕任性

Neural Pathways of Embodied Simulationsimulations of its sensorimotor interaction with the world, i.e. covert perception and action. This paper further integrates simulation theory with the notion of the brain as a predictive machine. In particular, it outlines the neural pathways of covert simulations, which include implicit anticipati

Irrepressible

The Autopoietic Nature of the “Inner World”e an event and produce an anticipatory action an organism should receive some input from the external environment as a basis to predict what comes next. We ask if, even in absence of external stimulation, the organism can derive this knowledge from an “inner” world which “resonates” with the externa

狂怒

踉蹌

A Neurocomputational Model of Anticipation and Sustained Inattentional Blindness in Hierarchiester we present a hierarchical neurocomputational model in which feedback, effectively predicting or anticipating task-relevant features, leads to sustained inattentional blindness. A psychological experiment on sustained inattentional blindness in human subjects is simulated to provide visual input

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