50 Years of Artificial Intelligence
Essays Dedicated to the 50th Anniversary of Artificial Intelligence
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Chapter and Conference Paper
On the Influence of Sensor Morphology on Vergence
In the field of developmental robotics, a lot of attention has been devoted to algorithms that allow agents to build up skills through sensorimotor interaction. Such interaction is largely affected by the agen...
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Chapter
Tribolon: Water-Based Self-Assembly Robots
Self-assembly is a process through which an organized structure spontaneously forms from simple parts. This process is ubiquitous in nature, and its amazing power is documented by many fascinating instances op...
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Chapter and Conference Paper
Toward a Theory of Embodied Statistical Learning
The purpose of this paper is to outline a new formulation of statistical learning that will be more useful and relevant to the field of robotics. The primary motivation for this new perspective is the mismatch...
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Book
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Chapter
AI in the 21st Century – With Historical Reflections
The discipline of Artificial Intelligence (AI) was born in the summer of 1956 at Dartmouth College in Hanover, New Hampshire. Half of a century has passed, and AI has turned into an important field whose influ...
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Chapter
On the Information Theoretic Implications of Embodiment – Principles and Methods
Embodied intelligent systems are naturally subject to physical constraints, such as forces and torques (due to gravity and friction), energy requirements for propulsion, and eventual damage and degeneration. B...
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Chapter
How Information and Embodiment Shape Intelligent Information Processing
Embodied artificial intelligence is based on the notion that cognition and action emerge from interactions between brain, body and environment. This chapter sketches a set of foundational principles that might...
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Article
Methods for quantifying the informational structure of sensory and motor data
Embodied agents (organisms and robots) are situated in specific environments sampled by their sensors and within which they carry out motor activity. Their control architectures or nervous systems attend to an...
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Chapter
Robot Bouncing: On the Synergy Between Neural and Body-Environment Dynamics
The study of how infants strapped in a Jolly Jumper learn to bounce can help clarify how they explore different ways of exploiting the dynamics of their movements. In this paper, we describe and discuss a set ...
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Chapter and Conference Paper
Optimal Coding for Naturally Occurring Whisker Deflections
It is largely unknown how the properties of the somatosensory system relate to the properties of naturally occurring whisker deflections. Here, we analyse representations of simulated neurons that have optimal...
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Chapter and Conference Paper
Dimensionality Reduction through Sensory-Motor Coordination
The problem of category learning has been traditionally investigated by employing disembodied categorization models. One of the basic tenets of embodied cognitive science states that categorization can be inte...
