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The Neurally Controlled Animat: Biological Brains Acting with Simulated Bodies

Thomas B Demarse, Daniel A Wagenaar, Axel W Blau, Steve M Potter
2001 Autonomous Robots  
Distributed patterns of neural activity are used to control the behavior of the Animat in a simulated environment.  ...  Changes in the Animat's behavior due to interaction with its surroundings are studied in concert with the biological processes (e.g., neural plasticity) that produced those changes, to understand how information  ...  Michael Atkin, Gray Rybka, and Samuel Thompson for early programming on the Animat and neural interface and MultiChannel Systems (http://www.multichannelsystems.com) for their gracious technical support  ... 
pmid:18584059 pmcid:PMC2440704 fatcat:bxxcgu7akbeypittcqmxzoswgi

Animals Versus Animats: Or Why Not Model the Real Iguana?

Barbara Webb
2009 Adaptive Behavior  
with real biological systems.  ...  Animat simulations do, implicitly, represent hypotheses about, and should be evaluated by comparison to, animals.  ...  Rather, we are faced with understanding the particular brain-body-environment systems that Nature has presented to us" (2003b, p.302) .  ... 
doi:10.1177/1059712309339867 fatcat:zriuvvqbajb2dn5hyop7sixkdy

Artificial Life and the Animat Approach to Artificial Intelligence [chapter]

Jean-Arcady Meyer
1996 Artificial Intelligence  
The animat approach to AI Objective and methods of standard AI approaches The majority of research in AI considers the simulation of the most elaborate faculties of the human brain --the resolution of  ...  One particularly active area of Artificial Life is concerned with the conception and construction of animats (Wilson, 1985) --that is, of animals simulated by computers or by actual robots --whose rules  ...  It is applied to a summation block which, roughly speaking, simulates the biological cell body, and adds all of the weighted inputs algebraically, producing the NET output: NET = X.W.  ... 
doi:10.1016/b978-012161964-0/50013-3 fatcat:vhozbchu25gofct5vzmqjujc7q

Brainless Bodies: Controlling the Development and Behavior of Multicellular Animats by Gene Regulation and Diffusive Signals

M. Joachimczak, T. Kowaliw, R. Doursat, B. Wróbel
2012 Artificial Life 13  
We present a model of parallel co-evolution of development and motion control in soft-bodied, multicellular animats without neural networks.  ...  Embryos develop within a simulated physics environment and are converted into animat structures by connecting neighboring cells through elastic springs.  ...  Computational resources were provided by the Polish Ministry of Science and Education (project N519 384236, N303 291234), the Tri-City Academic Computer Centre (TASK), and the Interdisciplinary Centre  ... 
doi:10.7551/978-0-262-31050-5-ch046 dblp:conf/alife/JoachimczakKDW12 fatcat:pm7loep3obcnthqcq2j7pnh4xu

Towards making a cyborg: A closed-loop reservoir-neuro system

Peter Aaser, Martinius Knudsen, Ola Huse Ramstad, Rosanne van de Wijdeven, Stefano Nichele, Ioanna Sandvig, Gunnar Tufte, Ulrich Stefan Bauer, Øyvind Halaas, Sverre Hendseth, Axel Sandvig, Vibeke Valderhaug
2017 Proceedings of the 14th European Conference on Artificial Life ECAL 2017  
body through electrical stimulation and neural recordings.  ...  The human brain is a remarkable computing machine, i.e. vastly parallel, self-organizing, robust, and energy efficient.  ...  Acknowledgements The research leading to these results has received funding from the Norwegian Research Council's IKTPLUSS programme (project SOCRATES, n. 270961), from NTNU, and from HiOA.  ... 
doi:10.7551/ecal_a_072 dblp:conf/ecal/AaserKRWNSTBHHS17 fatcat:l34cr2clpvgfflu5ezrxyz62qi

Zombie Mouse in a Chinese Room

Slawomir J. Nasuto, John Mark Bishop, Etienne B. Roesch, Matthew C. Spencer
2014 Philosophy & Technology  
We describe results from a body of work that contributes to blurring the divide between biological and articial systems: so-called animats, autonomous robots that are controlled by biological neural tissue  ...  , and what may be described as remote-controlled rodents, living animals endowed with augmented abilities provided by external controllers.  ...  Please note that, in the context of the`Computing, Philosophy and the Question of Bio-Machine Hybrids: 5th AISB Symposium on Computing and Philosophy'  ... 
doi:10.1007/s13347-014-0150-2 fatcat:irowcnrvj5dz7gjrxuztqbid3u

Evaluating the Effect of a Flexible Spine on the Evolution of Quadrupedal Gaits

Jared M. Moore, Craig P. McGowan, Philip K. McKinley
2015 07/20/2015-07/24/2015  
Moreover, evolving the degree of spine flexibility along with artificial neural network controllers produces the highest performing solutions.  ...  In this paper, we incorporate passive flexibility into the spine of a quadruped animat and employ computational evolution to generate gaits.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or other research  ... 
doi:10.7551/978-0-262-33027-5-ch035 dblp:conf/ecal/MooreMM15 fatcat:3wx7ajmnozhf3dtg3ibvftw7ja

SOVEREIGN: an Autonomous Neural System for Incrementally Learning to Navigate towards a Rewarded Goal [chapter]

William Gnadt, Stephen Grossberg
2008 Motion Planning  
After approaching under planned control, the animat is rewarded with food and the active chunks are associated with the hunger drive.  ...  After approaching under planned control, the animat is rewarded with water and the active chunks are associated with the thirst drive.  ...  Different methods such as potential fields, reactive behaviours, neural-fuzzy based methods, motion control methods and so on are studied.  ... 
doi:10.5772/6018 fatcat:rv3kg6czzbb7dkjm7q35qhxt7y

Shaping Embodied Neural Networks for Adaptive Goal-directed Behavior

Zenas C. Chao, Douglas J. Bakkum, Steve M. Potter, Karl J. Friston
2008 PLoS Computational Biology  
The training algorithm provides a stepping stone towards designing future control systems, whether with artificial neural networks or biological animats themselves.  ...  While lacking the characteristic layered structure of in vivo cortical tissue, the biologically inspired simulated networks could tune their activity in behaviorally relevant manners, demonstrating that  ...  artificial neural networks, more robust computing methods, and even the use of neurally controlled animats themselves as biologically-based control systems.  ... 
doi:10.1371/journal.pcbi.1000042 pmid:18369432 pmcid:PMC2265558 fatcat:wuojscvrifez7gwnpxz425cbbm

Neurodynamics in the Sensorimotor Loop: Representing Behavior Relevant External Situations

Frank Pasemann
2017 Frontiers in Neurorobotics  
In the context of the dynamical system approach to cognition and supposing that brains or brain-like systems controlling the behavior of autonomous systems are permanently driven by their sensor signals  ...  This is carefully done by addressing the problem in three steps, using the time-discrete dynamics of standard neural networks and a fiber space representation for better clearness.  ...  An animat Dean (1998) and Guillot and Meyer (2001) is a simulated or physical robot equipped with sensors and actuators, and a neural network for behavior control.  ... 
doi:10.3389/fnbot.2017.00005 pmid:28217092 pmcid:PMC5289985 fatcat:2hcax5fwojgqfgadgb4uqrz6vu

Anticipation: Beyond synthetic biology and cognitive robotics

Slawomir J. Nasuto, Yoshikatsu Hayashi
2016 Biosystems (Amsterdam. Print)  
It argues that anticipation is an emerging concept that can provide a bridge between both the deepest philosophical theories about the nature of life and cognition and the empirical biological and cognitive  ...  A careful progression, mindful to the deep philosophical concerns but also respecting empirical evidence, will ultimately lead towards unifying theoretical and empirical biological sciences and may offer  ...  Acknowledgements The research on animat was supported by the EPSRC funded grant "Investigating the computational capacity of cultured neuronal networks using machine learning" (EP/D080134/1).  ... 
doi:10.1016/j.biosystems.2016.07.011 pmid:27496574 fatcat:mlize5aoobgqrbb6en3qffjioi

A Synthetic Nervous System Controls a Simulated Cockroach

2017 Applied Sciences  
However, adding more legs to the body makes walking a redundant problem, with several paths from body to ground.  ...  The third result is the comparison between biological and simulated walking data. The resulting model can walk freely at cockroach-like speed and stepping frequency.  ...  Importance of Simulated Animats for Biologically-Inspired Robots Biologists and roboticists study animal locomotion in different ways with different goals in mind.  ... 
doi:10.3390/app8010006 fatcat:6nhzoy4zh5ajfa26v5bvvyfzme

Virtual Creature Morphology ‐ A Review

G. Lai, F.F. Leymarie, W. Latham, T. Arita, R. Suzuki
2021 Computer graphics forum (Print)  
By including the word virtual, we mean that we focus on methods for simulation in silico, and not physical robots.  ...  We present a review of methods for procedurally generating the morphology of virtual creatures. We include a range of methods, with the main groups being from ALife over art to video games.  ...  Though this scheme complicates the controls, it gives the user the same amount of control as the "original" neuralnetwork controlled brain.  ... 
doi:10.1111/cgf.142661 fatcat:cpi7to24vvdanph3q33ui5vikm

The brain of a new machine

Massimiliano Versace, Ben Chandler
2010 IEEE spectrum  
We'll watch each of these simulated animats interacting with its environment and evolving like a natural organism.  ...  Wetware To understand the difference between the architecture of the brain and a standard computer, compare the path of a hypothetical bit of data in a brain with that in a brain simulation. computer On  ... 
doi:10.1109/mspec.2010.5644776 fatcat:bmpk2tnmmzb47j2j5qkpztsxpe

Minimizing Human Intervention in the Development of Basal Ganglia-Inspired Robot Control

F. Montes-Gonzalez, T. J. Prescott, J. Negrete-Martinez
2007 Applied Bionics and Biomechanics  
A biologically inspired mechanism for robot action selection, based on the vertebrate basal ganglia, has been previously presented (Prescottet al. 2006, Montes Gonzalezet al. 2000).  ...  In the current article, we demonstrate the use of genetic algorithms and gradient–descent learning to automatically generate/tune some of the modules that generate the model behaviour.  ...  ACKNOWLEDGMENTS This work has been sponsored by CONACyT-MEXICO grant SEP-2004-C01-45726, and was also supported by a grant to Tony Prescott through the EU Framework 6 ICEA project.  ... 
doi:10.1155/2007/751842 fatcat:rdbcoqr5pbcwzliok3ztkoijdq
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