Born to learn: the inspiration, progress, and future of evolved plastic artificial neural networks
Biological neural networks are systems of extraordinary computational capabilities shaped
by evolution, development, and lifelong learning. The interplay of these elements leads to …
by evolution, development, and lifelong learning. The interplay of these elements leads to …
Evolutionary modular robotics: Survey and analysis
This paper surveys various applications of artificial evolution in the field of modular robots.
Evolutionary robotics aims to design autonomous adaptive robots automatically that can …
Evolutionary robotics aims to design autonomous adaptive robots automatically that can …
[图书][B] Introduction to evolutionary computing
This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …
and undergraduate students. To this group the book offers a thorough introduction to …
Understanding domain randomization for sim-to-real transfer
Reinforcement learning encounters many challenges when applied directly in the real world.
Sim-to-real transfer is widely used to transfer the knowledge learned from simulation to the …
Sim-to-real transfer is widely used to transfer the knowledge learned from simulation to the …
General properties of the evolution of research fields: a scientometric study of human microbiome, evolutionary robotics and astrobiology
M Coccia - Scientometrics, 2018 - Springer
How do research fields evolve? This study confronts this question here by developing an
inductive analysis based on emerging research fields of human microbiome, evolutionary …
inductive analysis based on emerging research fields of human microbiome, evolutionary …
AutoMoDe: A novel approach to the automatic design of control software for robot swarms
We introduce AutoMoDe: a novel approach to the automatic design of control software for
robot swarms. The core idea in AutoMoDe recalls the approach commonly adopted in …
robot swarms. The core idea in AutoMoDe recalls the approach commonly adopted in …
[HTML][HTML] Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms
Neuro-evolution is an appealing approach to generating collective behaviors for robot
swarms. In its typical application, known as off-line automatic design, the neural networks …
swarms. In its typical application, known as off-line automatic design, the neural networks …
[HTML][HTML] Evolution of self-organized task specialization in robot swarms
Division of labor is ubiquitous in biological systems, as evidenced by various forms of
complex task specialization observed in both animal societies and multicellular organisms …
complex task specialization observed in both animal societies and multicellular organisms …
[HTML][HTML] Evolution of adaptive behaviour in robots by means of Darwinian selection
D Floreano, L Keller - PLoS biology, 2010 - journals.plos.org
Ever since Cicero's De Natura Deorum ii. 34., humans have been intrigued by the origin and
mechanisms underlying complexity in nature. Darwin suggested that adaptation and …
mechanisms underlying complexity in nature. Darwin suggested that adaptation and …
Robots as products: the case for a realistic analysis of robotic applications and liability rules
A Bertolini - Law, innovation and technology, 2013 - Taylor & Francis
Robots are often said to be the technology of the future; 1 yet such a statement is apt to
mislead, its most evident weakness being the very notion of 'robot'upon which it rests. By that …
mislead, its most evident weakness being the very notion of 'robot'upon which it rests. By that …