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Animals to Animats is a conference. Its held every two years, at various locations around the world. It brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics, engineering, and many other related fields, seeking to bind the disciplines together.

The goal of the conferences is to drive understanding and ability to reproduce the behaviours and underlying mechanisms that allow natural and synthetic agents (animats) to adapt and survive in uncertain environments.

In short, starting with natural animal behaviour, transferring that to alife, in order to recreate adaptive, reasoning, and even natural intelligent behaviour of non-humans to artificially created animals and servant agents who can then adapt to changing environments without being explicitly programmed to.

Animals to animats is also known as The International Conference on Simulation of Adaptive Behaviour.

CONTENTS

Extended Homeostatic Adaptation: Improving the Link between Internal and Behavioural Stability
Hiroyuki Iizuka and Ezequiel A. Di Paolo

Evolution of Valence Systems in an Unstable Environment
Matthijs Snel and Gillian M. Hayes

Flexible Control Mechanism for Multi-DOF Robotic Arm Based on Biological Fluctuation
Ippei Fukuyori, Yutaka Nakamura, Yoshio Matsumoto and Hiroshi Ishiguro

Neural Noise Induces the Evolution of Robust Behaviour by Avoiding Non-functional Bifurcations
Jose A. Fernandez-Leon and Ezequiel A. Di Paolo

Integration of an Omnidirectional Visual System with the Control Architecture of Psikharpax
Loic Lacheze, Ryad Benosman and Jean-Arcady Meyer

Stability of Coordination Requires Mutuality of Interaction in a Model of Embodied Agents
Tom Froese and Ezequiel A. Di Paolo

Internal and External Memory in Neuroevolution for Learning in Non-stationary Problems
Francisco Bellas, Jose A. Becerra and Richard J. Duro

Evolving Vision Controllers with a Two-Phase Genetic Programming System Using Imitation
Renaud Barate and Antoine Manzanera

Embodiment and Perceptual Crossing in 2D: A Comparative Evolutionary Robotics Study
Marieke Rohde and Ezequiel Di Paolo

Adaptive Optimal Control for Redundantly Actuated Arms
Djordje Mitrovic, Stefan Klanke and Sethu Vijayakumar

Monostable Controllers for Adaptive Behaviour
Christopher L. Buckley, Peter Fine, Seth Bullock and Ezequiel Di Paolo

Bifurcation Angles in Ant Foraging Networks: A Trade-Off between Exploration and Exploitation?
Luc Berthouze and Alexander Lorenzi

Episodes in Space: A Modeling Study of Hippocampal Place Representation
Bal?zs Ujfalussy, P?ter Erős, Zolt?n Somogyv?ri and Tam?s Kiss

Modelling the Cortical Columnar Organisation for Topological State-Space Representation, and Action Planning
Louis-Emmanuel Martinet, Benjamin Fouque, Jean-Baptiste Passot, Jean-Arcady Meyer and Angelo Arleo

Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks
Nicolas Oros, Volker Steuber, Neil Davey, Lola Ca?amero and Rod Adams

Theta Phase Coding and Acetylcholine Modulation in a Spiking Neural Network
Daniel Bush, Andrew Philippides, Phil Husbands and Michael O?Shea

Interest of Spatial Context for a Place Cell Based Navigation Model
Nicolas Cuperlier, Philippe Gaussier and Mathias Quoy

Linked Local Visual Navigation and Robustness to Motor Noise and Route Displacement
Lincoln Smith, Andrew Philippides, Paul Graham and Phil Husbands

Second Order Conditioning in the Sub-cortical Nuclei of the Limbic System
Adedoyin Maria Thompson, Bernd Porr, Christoph Kolodziejski and Florentin W?rg?tter

Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies
Sebastian Bitzer, Ioannis Havoutis and Sethu Vijayakumar

Incremental Evolution of Animats? Behaviors as a Multi-objective Optimization
Jean-Baptiste Mouret and St?phane Doncieux

Integrating Epistemic Action (Active Vision) and Pragmatic Action (Reaching): A Neural Architecture for Camera-Arm Robots
Dimitri Ognibene, Christian Balkenius and Gianluca Baldassarre

Neural Coding in the Dorsal Visual Stream
Eris Chinellato and Angel P. del Pobil

Modeling the Bat LSO Tonotopical Map Refinement during Development
Bertrand Fontaine and Herbert Peremans

A Reinforcement Learning Technique with an Adaptive Action Generator for a Multi-robot System
Toshiyuki Yasuda and Kazuhiro Ohkura

A Multi-cellular Developmental System in Continuous Space Using Cell Migration
Nicolas Bredeche

Toward a Theory of Embodied Statistical Learning
Daniel Burfoot, Max Lungarella and Yasuo Kuniyoshi

Closing the Sensory-Motor Loop on Dopamine Signalled Reinforcement Learning
Paul Chorley and Anil K. Seth

Mutual Development of Behavior Acquisition and Recognition Based on Value System
Yasutake Takahashi, Yoshihiro Tamura and Minoru Asada

Improving Situated Agents Adaptability Using Interruption Theory of Emotions
Cl?ment Ra?evsky and Fran?ois Michaud

Dynamical Systems Account for Meta-level Cognition
Michail Maniadakis and Jun Tani

A Computational Model of the Amygdala Nuclei?s Role in Second Order Conditioning
Francesco Mannella, Stefano Zappacosta, Marco Mirolli and Gianluca Baldassarre

Acquiring a Functionally Compositional System of Goal-Directed Actions of a Simulated Agent
Yuuya Sugita and Jun Tani

Learning to Generalize through Predictive Representations: A Computational Model of Mediated Conditioning
Elliot A. Ludvig and Anna Koop

Detection of Weak Signals by Emotion-Derived Stochastic Resonance
Shogo Yonekura, Yasuo Kuniyoshi and Yoichiro Kawaguchi

The Influence of Asynchronous Dynamics in the Spatial Prisoner?s Dilemma Game
Carlos Grilo and Lu?s Correia

A Study of Off-Line Uses of Anticipation
Giovanni Pezzulo

An Individual-Based Model of Task Selection in Honeybees
Thomas Schmickl and Karl Crailsheim

Distributed Adaptation in Multi-robot Search Using Particle Swarm Optimization
Jim Pugh and Alcherio Martinoli

Homeotaxis: Coordination with Persistent Time-Loops
Mikhail Prokopenko, Astrid Zeman and Rongxin Li

Noise-Induced Adaptive Decision-Making in Ant-Foraging
Bernd Meyer, Madeleine Beekman and Audrey Dussutour

Division of Labour in Self-organised Groups
Roderich Gro?, Shervin Nouyan, Michael Bonani, Francesco Mondada and Marco Dorigo

Social Control of Herd Animals by Integration of Artificially Controlled Congeners
Nikolaus Correll, Mac Schwager and Daniela Rus

Aggregating Robots Compute: An Adaptive Heuristic for the Euclidean Steiner Tree Problem
Heiko Hamann and Heinz W?rn

Emergence of Interaction among Adaptive Agents
Georg Martius, Stefano Nolfi and J. Michael Herrmann

Acquisition of Human-Robot Interaction Rules via Imitation and Response Observation
Takatsugu Kuriyama and Yasuo Kuniyoshi

On Modeling Proto-Imitation in a Pre-associative Babel
Elpida Tzafestas

Evolution of General Driving Rules of a Driving Agent
Ivan Tanev, Hirotaka Yamazaki, Tomoyuki Hiroyasu and Katsunori Shimohara

BehaviorSim: A Learning Environment for Behavior-Based Agent
Fasheng Qiu and Xiaolin Hu

Adaptive Behavioural Modulation and Hysteresis in an Analogue of a Kite Control Task
Allister Furey and Inman Harvey

Self-adaptive Agent-Based Dynamic Scheduling for a Semiconductor Manufacturing Factory
Horng-Ren Tsai and Toly Chen

 

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