Whether, when, how, and why increased complexity evolves in biological populations is a longstanding open question. In this work we combine recently developed method for evolving virtual organisms with an information-theoretic metric of morphological order to investigate how the morphologies, which are evolved locomotion, varies across different environments. We first demonstrate that selection locomotion results evolution morphologies increase over evolutionary time beyond what would be...

Science instructors from a wide range of disciplines agree that hands-on laboratory components courses are pedagogically necessary (Freedman, 1997). However, certain shortcomings current exercises have been pointed out by several authors (Mataric, 2004; Hofstein and Lunetta, 2004). The overarching theme these analyses is tend to be formulaic, closed-ended, at times outdated. To address issues, we envision novel platform not only didactic tool but also an experimental testbed for users play...

Evolutionary robotics using real hardware has been almost exclusively restricted to evolving robot controllers, but the technology for evolvable morphologies is advancing quickly. We discuss a proof-of-concept study demonstrate robots that can reproduce. Following general system plan, we implement robotic habitat contains all components in simplest possible form. create an initial population of two and run complete life cycle, resulting new robot, parented by first two. Even though...

The principles of embodied cognition dictate that intelligent behavior must arise out the coupled dynamics an agent's brain, body, and environment. While relationship between controllers morphologies (brains bodies) has been investigated, little is known about interplay morphological complexity a given task It hypothesized robot should increase commensurately with its Here this hypothesis tested by evolving in simple environment more complex environments. More robots tend to evolve...

It has often been found that students appreciate hands-on work, and find they learn more with courses include a project than those relying solely on conventional lectures tests. This type of driven learning is key component "Inquiry-based learning" (IBL), which aims at teaching methodology as well content by incorporating the student an actor rather spectator. Robotics applications are especially well-suited for IBL due to value trial error experience, multiple possibilities implement their...

The majority of work in the field evolutionary robotics concerns itself with evolving control strategies for human designed or bio-mimicked robot morphologies. However, there are reasons why co-evolving morphology along may provide a better path towards realizing intelligent agents. Towards this goal, novel method three-dimensional physical structures using CPPN-NEAT is introduced which capable producing artifacts that capture non-obvious yet close relationship between function and...

This paper extends prior work using Compositional Pattern Producing Networks (CPPNs) as a generative encoding for the purpose of simultaneously evolving robot morphology and control. A method is presented translating CPPNs into complete robots including their physical topologies, sensor placements, embedded, closed-loop, neural network control policies. It shown that this can evolve given task. Additionally it demonstrated how performance evolved be significantly improved by allowing...

Science instructors from a wide range of disciplines agree that hands-on laboratory components courses are pedagogically necessary (Freedman, 1997). However, certain shortcomings current exercises have been pointed out by several authors (Mataric, 2004; Hofstein and Lunetta, 2004). The overarching theme these analyses is tend to be formulaic, closed-ended, at times outdated. To address issues, we envision novel platform not only didactic tool but also an experimental testbed for users play...

According to the principles of embodied cognition, intelligent behavior must arise out coupled dynamics an agent's brain, body, and environment.This suggests that morphological complexity a robot should scale in relation its task idea is supported by recent work, which demonstrated when evolving morphologies simple complex environments more do tend evolve environments.Here this extended examining mechanical evolved robots.Counter intuition it found decreases environments.

Automatically synthesizing behaviors for robots with articulated bodies poses a number of challenges beyond those encountered when generating simpler agents. One such challenge is how to optimize controller that can orchestrate dynamic motion different parts the body at times. This paper presents an incremental shaping method addresses this challenge: it trains both coordinate robot's leg motions achieve directed locomotion toward object, and then gripper lifting once object reached. It...

Evolutionary algorithms are increasingly being applied to problems that too computationally expensive run on a single personal computer due costly fitness function evaluations and/or large numbers of evaluations. Here, we introduce the Seamless Peer And Cloud Evolution (SPACE) framework, which leverages bleeding edge web technologies allow computational resources necessary for running scale evolutionary experiments be made available amateur and professional researchers alike, in scalable...

Recently there has been a growing movement of researchers that believes innovation and novelty creation, rather than pure optimization, are the true strengths evolutionary algorithms relative to other forms machine learning. This idea also provides one possible explanation for why processes may exist in nervous systems on top One particularly exciting corollary this, is be used produce what Pugh et al have dubbed Quality Diversity (QD): as many different solutions (according some...

ABSTRACT Traditionally, food product manufacturers have used methods such as market research and sensory characterization for quality planning. However, within the planning scope, results of not been explored to explicitly translate into manufacturing stage. This article presents development an advanced approach applied at Black White Cookie Company customer requirements using integrated qualitative/quantitative techniques. The showed that method provided manufacturer a good quantitative...

Recently, the notion that brain is fundamentally a prediction machine has gained traction within cognitive science community.Consequently, ability to learn accurate predictors from experience crucial creating intelligent robots.However, in order make predictions it necessary find appropriate data representations which learn.Finding such or features fundamental challenge for learning.Often domain knowledge employed design useful specific problems, but learning independent manner highly...

A central tenet of embodied artificial intelligence is that intelligent behavior arises out the coupled dynamics between an agent's body, brain and environment. It follows complexity agents's controller morphology must match a given task. However, more complex task environments require agent to exhibit different behaviors, which raises question as how distribute responsibility for these behaviors across morphology. In this work robot trained locomote manipulate object, but assumption...

No abstract available.

According to the principles of embodied cognition, intelligent behavior must arise out coupled dynamics an agent's brain, body, and environment. This suggests that morphological complexity a robot should scale in relation its task idea is supported by recent work, which demonstrated when evolving morphologies simple complex environments more do tend evolve environments. Here this extended examining mechanical evolved robots. Counter intuition it found decreases

Share on Evolution in Cognition 2016 Chairs' Welcome Authors: Stephane Doncieux UPMC Sorbonne Universités, Paris, France FranceView Profile , Joshua E. Auerbach Ecole Polytéchnique Fédérale de Lausanne, Switzerland SwitzerlandView Richard J. Duro Universidade da Coruna, Spain SpainView Harold P. Vladar Parmenides Foundation, Pullach, Germany GermanyView Authors Info & Claims GECCO '16 Companion: Proceedings of the Genetic and Evolutionary Computation Conference CompanionJuly Pages...

We present Embodied Chaotic Exploration (ECE), a novel direction of research into possible candidate for Darwinian neural dynamics, where such dynamics are occurring not at the level synaptic connections, but rather slightly higher and more abstract embodied motor pattern attractors. Crucially, (chaotic) neuro it is whole neuro-body-environment system that must be considered, although changes occur level. ECE incrementally explores learns behaviors through an integrated combination chaotic...

Recently, the notion that brain is fundamentally a prediction machine has gained traction within cognitive science community. Consequently, ability to learn accurate predictors from experience crucial creating intelligent robots. However, in order make predictions it necessary find appropriate data representations which learn. Finding such or features fundamental challenge for learning. Often domain knowledge employed design useful specific problems, but learning independent manner highly...