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Artificial Life

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https://www.readbyqxmd.com/read/28513208/self-organization-of-vocabularies-under-different-interaction-orders
#1
Javier Vera
Traditionally, the formation of vocabularies has been studied by agent-based models (primarily, the naming game) in which random pairs of agents negotiate word-meaning associations at each discrete time step. This article proposes a first approximation to a novel question: To what extent is the negotiation of word-meaning associations influenced by the order in which agents interact? Automata networks provide the adequate mathematical framework to explore this question. Computer simulations suggest that on two-dimensional lattices the typical features of the formation of word-meaning associations are recovered under random schemes that update small fractions of the population at the same time; by contrast, if larger subsets of the population are updated, a periodic behavior may appear...
May 17, 2017: Artificial Life
https://www.readbyqxmd.com/read/28513207/evolutionary-developmental-robotics-improving-morphology-and-control-of-physical-robots
#2
Vuk Vujovic, Andre Rosendo, Luzius Brodbeck, Fumiya Iida
Evolutionary algorithms have previously been applied to the design of morphology and control of robots. The design space for such tasks can be very complex, which can prevent evolution from efficiently discovering fit solutions. In this article we introduce an evolutionary-developmental (evo-devo) experiment with real-world robots. It allows robots to grow their leg size to simulate ontogenetic morphological changes, and this is the first time that such an experiment has been performed in the physical world...
May 17, 2017: Artificial Life
https://www.readbyqxmd.com/read/28513206/a-general-architecture-for-robotics-systems-a-perception-based-approach-to-artificial-life
#3
Rupert Young
Departing from the conventional view of the reasons for the behavior of living systems, this research presents a radical and unique view of that behavior, as the observed side effects of a hierarchical set of simple, continuous, and dynamic negative feedback control systems, by way of an experimental model implemented on a real-world autonomous robotic rover. Rather than generating specific output from input, the systems control their perceptual inputs by varying output. The variables controlled do not exist in the environment, but are entirely internal perceptions constructed as a result of the layout and connections of the neural architecture...
May 17, 2017: Artificial Life
https://www.readbyqxmd.com/read/28513205/introduction-to-the-evolution-of-physical-systems-special-issue
#4
John Rieffel, Jean-Baptiste Mouret, Nicolas Bredeche, Evert Haasdijk
No abstract text is available yet for this article.
May 17, 2017: Artificial Life
https://www.readbyqxmd.com/read/28513204/on-design-mining-coevolution-and-surrogate-models
#5
Richard J Preen, Larry Bull
Design mining is the use of computational intelligence techniques to iteratively search and model the attribute space of physical objects evaluated directly through rapid prototyping to meet given objectives. It enables the exploitation of novel materials and processes without formal models or complex simulation. In this article, we focus upon the coevolutionary nature of the design process when it is decomposed into concurrent sub-design-threads due to the overall complexity of the task. Using an abstract, tunable model of coevolution, we consider strategies to sample subthread designs for whole-system testing and how best to construct and use surrogate models within the coevolutionary scenario...
May 17, 2017: Artificial Life
https://www.readbyqxmd.com/read/28513203/automating-the-incremental-evolution-of-controllers-for-physical-robots
#6
Andrés Faíña, Lars Toft Jacobsen, Sebastian Risi
Evolutionary robotics is challenged with some key problems that must be solved, or at least mitigated extensively, before it can fulfill some of its promises to deliver highly autonomous and adaptive robots. The reality gap and the ability to transfer phenotypes from simulation to reality constitute one such problem. Another lies in the embodiment of the evolutionary processes, which links to the first, but focuses on how evolution can act on real agents and occur independently from simulation, that is, going from being, as Eiben, Kernbach, & Haasdijk [2012, p...
May 17, 2017: Artificial Life
https://www.readbyqxmd.com/read/28513202/abstraction-sensory-motor-coordination-and-the-reality-gap-in-evolutionary-robotics
#7
Kirk Y W Scheper, Guido C H E de Croon
One of the major challenges of evolutionary robotics is to transfer robot controllers evolved in simulation to robots in the real world. In this article, we investigate abstraction of the sensory inputs and motor actions as a tool to tackle this problem. Abstraction in robots is simply the use of preprocessed sensory inputs and low-level closed-loop control systems that execute higher-level motor commands. To demonstrate the impact abstraction could have, we evolved two controllers with different levels of abstraction to solve a task of forming an asymmetric triangle with a homogeneous swarm of micro air vehicles...
May 17, 2017: Artificial Life
https://www.readbyqxmd.com/read/28513201/real-world-evolution-of-robot-morphologies-a-proof-of-concept
#8
Milan Jelisavcic, Matteo de Carlo, Elte Hupkes, Panagiotis Eustratiadis, Jakub Orlowski, Evert Haasdijk, Joshua E Auerbach, A E Eiben
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 to demonstrate real robots that can reproduce. Following a general system plan, we implement a robotic habitat that contains all system components in the simplest possible form. We create an initial population of two robots and run a complete life cycle, resulting in a new robot, parented by the first two...
May 17, 2017: Artificial Life
https://www.readbyqxmd.com/read/28150999/adaptive-local-information-transfer-in-random-boolean-networks
#9
Taichi Haruna
Living systems such as gene regulatory networks and neuronal networks have been supposed to work close to dynamical criticality, where their information-processing ability is optimal at the whole-system level. We investigate how this global information-processing optimality is related to the local information transfer at each individual-unit level. In particular, we introduce an internal adjustment process of the local information transfer and examine whether the former can emerge from the latter. We propose an adaptive random Boolean network model in which each unit rewires its incoming arcs from other units to balance stability of its information processing based on the measurement of the local information transfer pattern...
2017: Artificial Life
https://www.readbyqxmd.com/read/28140632/what-is-morphological-computation-on-how-the-body-contributes-to-cognition-and-control
#10
Vincent C Müller, Matej Hoffmann
The contribution of the body to cognition and control in natural and artificial agents is increasingly described as "offloading computation from the brain to the body," where the body is said to perform "morphological computation." Our investigation of four characteristic cases of morphological computation in animals and robots shows that the "offloading" perspective is misleading. Actually, the contribution of body morphology to cognition and control is rarely computational, in any useful sense of the word...
2017: Artificial Life
https://www.readbyqxmd.com/read/28140631/invasion-of-cooperation-in-scale-free-networks-accumulated-versus-average-payoffs
#11
Genki Ichinose, Hiroki Sayama
It is well known that cooperation cannot be an evolutionarily stable strategy for a non-iterative game in a well-mixed population. In contrast, structured populations favor cooperation, since cooperators can benefit each other by forming local clusters. Previous studies have shown that scale-free networks strongly promote cooperation. However, little is known about the invasion mechanism of cooperation in scale-free networks. To study microscopic and macroscopic behaviors of cooperators' invasion, we conducted computational experiments on the evolution of cooperation in scale-free networks where, starting from all defectors, cooperators can spontaneously emerge by mutation...
2017: Artificial Life
https://www.readbyqxmd.com/read/28140630/quantifying-long-range-interactions-and-coherent-structure-in-multi-agent-dynamics
#12
Oliver M Cliff, Joseph T Lizier, X Rosalind Wang, Peter Wang, Oliver Obst, Mikhail Prokopenko
We develop and apply several novel methods quantifying dynamic multi-agent team interactions. These interactions are detected information-theoretically and captured in two ways: via (i) directed networks (interaction diagrams) representing significant coupled dynamics between pairs of agents, and (ii) state-space plots (coherence diagrams) showing coherent structures in Shannon information dynamics. This model-free analysis relates, on the one hand, the information transfer to responsiveness of the agents and the team, and, on the other hand, the information storage within the team to the team's rigidity and lack of tactical flexibility...
2017: Artificial Life
https://www.readbyqxmd.com/read/28140629/evolution-of-joint-level-control-for-quadrupedal-locomotion
#13
Jared M Moore, Philip K McKinley
We investigate a hierarchical approach to robot control inspired by joint-level control in animals. The method combines a high-level controller, consisting of an artificial neural network (ANN), with joint-level controllers based on digital muscles. In the digital muscle model (DMM), morphological and control aspects of joints evolve concurrently, emulating the musculoskeletal system of natural organisms. We introduce and compare different approaches for connecting outputs of the ANN to DMM-based joints. We also compare the performance of evolved animats with ANN-DMM controllers with those governed by only high-level (ANN-only) and low-level (DMM-only) controllers...
2017: Artificial Life
https://www.readbyqxmd.com/read/28140628/online-gait-learning-for-modular-robots-with-arbitrary-shapes-and-sizes
#14
Berend Weel, M D'Angelo, Evert Haasdijk, A E Eiben
Evolutionary robotics using real hardware is currently restricted to evolving robot controllers, but the technology for evolvable morphologies is advancing quickly. Rapid prototyping (3D printing) and automated assembly are the main enablers of robotic systems where robot offspring can be produced based on a blueprint that specifies the morphologies and the controllers of the parents. This article addresses the problem of gait learning in newborn robots whose morphology is unknown in advance. We investigate a reinforcement learning method and conduct simulation experiments using robot morphologies with different size and complexity...
2017: Artificial Life
https://www.readbyqxmd.com/read/27472418/introduction-to-the-modeling-and-analysis-of-complex-systems-h-sayama-ed-2015-open-suny-textbooks-free-open-access-pdf-498-pp-isbn-978-1-942341-06-2-deluxe-color-edition-isbn-978-1-942341-08-6-print-edition-isbn-978-1-942341-09-3-ebook
#15
https://www.readbyqxmd.com/read/27824500/programs-as-polypeptides
#16
Lance R Williams
Object-oriented combinator chemistry (OOCC) is an artificial chemistry with composition devices borrowed from object-oriented and functional programming languages. Actors in OOCC are embedded in space and subject to diffusion; since they are neither created nor destroyed, their mass is conserved. Actors use programs constructed from combinators to asynchronously update their own states and the states of other actors in their neighborhoods. The fact that programs and combinators are themselves reified as actors makes it possible to build programs that build programs from combinators of a few primitive types using asynchronous spatial processes that resemble chemistry as much as computation...
2016: Artificial Life
https://www.readbyqxmd.com/read/27824499/evolvability-tradeoffs-in-emergent-digital-replicators
#17
Thomas LaBar, Arend Hintze, Christoph Adami
The role of historical contingency in the origin of life is one of the great unknowns in modern science. Only one example of life exists-one that proceeded from a single self-replicating organism (or a set of replicating hypercycles) to the vast complexity we see today in Earth's biosphere. We know that emergent life has the potential to evolve great increases in complexity, but it is unknown if evolvability is automatic given any self-replicating organism. At the same time, it is difficult to test such questions in biochemical systems...
2016: Artificial Life
https://www.readbyqxmd.com/read/27824498/the-structure-of-ontogenies-in-a-model-protocell
#18
Eran Agmon, Alexander J Gates, Randall D Beer
Emergent individuals are often characterized with respect to their viability: their ability to maintain themselves and persist in variable environments. As such individuals interact with an environment, they undergo sequences of structural changes that correspond to their ontogenies. Ultimately, individuals that adapt to their environment, and increase their chances of survival, persist. This article provides an initial step towards a more formal treatment of these concepts. A network of possible ontogenies is uncovered by subjecting a model protocell to sequential perturbations and mapping the resulting structural configurations...
2016: Artificial Life
https://www.readbyqxmd.com/read/27824497/partial-redundancy-and-morphological-homeostasis-reliable-development-through-overlapping-mechanisms
#19
Micah Brodsky
How might organisms grow into their desired physical forms in spite of environmental and genetic variation? How do they maintain this form in spite of physical insults? This article presents a case study in simulated morphogenesis, using a physics-based model for embryonic epithelial tissue. The challenges of the underlying physics force the introduction of closed-loop controllers for both spatial patterning and geometric structure. Reliable development is achieved not through elaborate control procedures or exact solutions, but through crude layering of independent, overlapping mechanisms...
2016: Artificial Life
https://www.readbyqxmd.com/read/27824496/editorial-introduction-to-the-artificial-life-2015-conference-special-issue
#20
Simon Hickenbotham, Susan Stepney
No abstract text is available yet for this article.
2016: Artificial Life
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