Ezequiel A. Di Paolo

发表

Is an Embodied System Ever Purely Reactive?

Eduardo Izquierdo-Torres, Ezequiel A. Di Paolo, E. Izquierdo-Torres, 2005, ECAL.

Ripple-spreading model and Genetic Algorithm for random complex networks: Preliminary study

Ezequiel A. Di Paolo, Xiao-Bing Hu, Lionel Barnett, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Spatial embedding and the structure of complex networks

Seth Bullock, Ezequiel A. Di Paolo, Lionel Barnett, 2010, Complex..

Adaptation to Sensory Delays

Marieke Rohde, Ezequiel A. Di Paolo, M. Rohde, 2007, ECAL.

A Minimal Model of Metabolism-Based Chemotaxis

Xabier E. Barandiaran, Ezequiel A. Di Paolo, Matthew D. Egbert, 2010, PLoS Comput. Biol..

An Investigation into the Evolution of Communication

Ezequiel A. Di Paolo, E. Paolo, 1998, Adapt. Behav..

Why do we build the wall?

Ezequiel A. Di Paolo, 2020, Adapt. Behav..

The Mechanization of the Mind: On the Origins of Cognitive Science, Stefan Wermter (Ed.), Jean-Pierre Dupuy, translated by M.B. DeBevoise, Princeton University Press, 2000, $29.95 / £19.95, 240 pp. ISBN: 0-691-02574-6

Ezequiel A. Di Paolo, 2001, Cognitive Systems Research.

The Advantages of Evolving Perceptual Cues

Ian MacInnes, Ezequiel A. Di Paolo, I. MacInnes, 2006, Adapt. Behav..

The Gomi legacy

Phil Husbands, Ezequiel A. Di Paolo, 2014, Adapt. Behav..

Fast homeostatic neural oscillators induce radical robustness in robot performance

Ezequiel A. Di Paolo, 2002 .

The contribution of active body movement to visual development in evolutionary robots

Dario Floreano, Ezequiel A. Di Paolo, Mototaka Suzuki, 2005, Neural Networks.

Neural Uncertainty and Sensorimotor Robustness

Ezequiel A. Di Paolo, Jose A. Fernandez-Leon, 2007, ECAL.

Toward Spinozist Robotics: Exploring the Minimal Dynamics of Behavioral Preference

Hiroyuki Iizuka, Ezequiel A. Di Paolo, H. Iizuka, 2007, Adapt. Behav..

Integrating Autopoiesis and Behavior: An Exploration in Computational Chemo-ethology

Ezequiel A. Di Paolo, Matthew D. Egbert, M. Egbert, 2009, Adapt. Behav..

Reconstructing the Cognitive World: The Next Step. Michael Wheeler. (2005, MIT Press.) ISBN 0-262-23240-5, 432 pages

Ezequiel A. Di Paolo, 2007, Artif. Life.

Neural Noise Induces the Evolution of Robust Behaviour by Avoiding Non-functional Bifurcations

Ezequiel A. Di Paolo, Jose A. Fernandez-Leon, 2008, SAB.

Evolutionary robotics models in the interdisciplinary study of embodied time perception

Marieke Rohde, Ezequiel A. Di Paolo, 2008, ALIFE.

An efficient Genetic Algorithm with uniform crossover for the multi-objective Airport Gate Assignment Problem

Ezequiel A. Di Paolo, Xiao-Bing Hu, Xiao-Bing Hu, 2007, 2007 IEEE Congress on Evolutionary Computation.

Chemo-ethology of an Adaptive Protocell - Sensorless Sensitivity to Implicit Viability Conditions

Xabier E. Barandiaran, Ezequiel A. Di Paolo, Matthew D. Egbert, 2009, ECAL.

Spinal circuits can accommodate interaction torques during multijoint limb movements

Ezequiel A. Di Paolo, Thomas Bührmann, E. Paolo, 2014, Front. Comput. Neurosci..

Biological actuators are not just springs : Investigating muscle dynamics and control signals

Ezequiel A. Di Paolo, Thomas Buehrmann, 2006 .

Spatially Constrained Networks and the Evolution of Modular Control Systems

Andrew Philippides, Ezequiel A. Di Paolo, Peter Fine, 2006, SAB.

Social coordination and spatial organization: Steps towards the evolution of communication

Ezequiel A. Di Paolo, E. Paolo, 1997 .

Local Ultrastability in a Real System Based on Programmable Springs

Santosh Manicka, Ezequiel A. Di Paolo, 2009, ECAL.

Behavioral Coordination, Structural Congruence and Entrainment in a Simulation of Acoustically Coupled Agents

Ezequiel A. Di Paolo, E. Paolo, 2000, Adapt. Behav..

A Ripple-Spreading Genetic Algorithm for the Aircraft Sequencing Problem

Ezequiel A. Di Paolo, Xiao-Bing Hu, 2011, Evolutionary Computation.

Unbinding Biological Autonomy: Francisco Varela's Contributions to Artificial Life

Ezequiel A. Di Paolo, 2004, Artificial Life.

Binary-Representation-Based Genetic Algorithm for Aircraft Arrival Sequencing and Scheduling

Ezequiel A. Di Paolo, Xiao-Bing Hu, Xiao-Bing Hu, 2008, IEEE Transactions on Intelligent Transportation Systems.

Multiairport Capacity Management: Genetic Algorithm With Receding Horizon

Wen-Hua Chen, Ezequiel A. Di Paolo, Xiao-Bing Hu, 2007, IEEE Transactions on Intelligent Transportation Systems.

Deterministic Agent-Based Path Optimization by Mimicking the Spreading of Ripples

Ming Wang, Hao Liu, Mark S. Leeson, 2016, Evolutionary Computation.

The Design of Animal Communication

Ezequiel A. Di Paolo, E. Paolo, 2000, Adapt. Behav..

Editorial

Ezequiel A. Di Paolo, 2009, Adapt. Behav..

Evolutionary Robotics: A New Scientific Tool for Studying Cognition

Inman Harvey, Elio Tuci, Ezequiel A. Di Paolo, 2005, Artificial Life.

The Horizons of Evolutionary Robotics

Inman Harvey, Phil Husbands, Ezequiel A. Di Paolo, 2014 .

Non-representational Sensorimotor Knowledge

Ezequiel A. Di Paolo, Thomas Bührmann, E. Paolo, 2014, SAB.

Artificial mental life

Xabier E. Barandiaran, Ezequiel A. Di Paolo, 2008, ALIFE.

A Little More than Kind and Less than Kin: The Unwarranted Use of Kin Selection in Spatial Models of Communication

Ezequiel A. Di Paolo, E. Paolo, 1999, ECAL.

Modelling social interaction as perceptual crossing: an investigation into the dynamics of the interaction process

Tom Froese, Ezequiel A. Di Paolo, T. Froese, 2010, Connect. Sci..

Farewell and Hello Editorial

Peter M. Todd, Ezequiel A. Di Paolo, 2009, Adapt. Behav..

The Enactive Approach

Ezequiel A. Di Paolo, Evan Thompson, E. Thompson, 2014 .

Evolution of Communication in Robots

Inman Harvey, Phil Husbands, Ezequiel A. Di Paolo, 2014 .

Decisions and Noise: The Scope of Evolutionary Synthesis and Dynamical Analysis

Inman Harvey, Ezequiel A. Di Paolo, I. Harvey, 2003, Adapt. Behav..

Spike-Timing Dependent Plasticity for Evolved Robots

Ezequiel A. Di Paolo, E. Paolo, 2002, Adapt. Behav..

Behavioral Metabolution: The Adaptive and Evolutionary Potential of Metabolism-Based Chemotaxis

Xabier E. Barandiaran, Ezequiel A. Di Paolo, Matthew D. Egbert, 2011, Artificial Life.

Evolving spike-timing-dependent plasticity for single-trial learning in robots

Ezequiel A. Di Paolo, E. D. Paolo, E. Paolo, 2003 .

A Hybrid Genetic Algorithm for the Travelling Salesman Problem

Ezequiel A. Di Paolo, Xiao-Bing Hu, 2007, NICSO.

New Models for Old Questions: Evolutionary Robotics and the 'A Not B' Error

Ezequiel A. Di Paolo, Rachel Wood, 2007, ECAL.

Increasing Complexity Can Increase Stability in a Self-Regulating Ecosystem

Inman Harvey, Ezequiel A. Di Paolo, James G. Dyke, 2007, ECAL.

From the Inside Looking Out: Self Extinguishing Perceptual Cues and the Constructed Worlds of Animats

Ian MacInnes, Ezequiel A. Di Paolo, 2005, ECAL.

Biological Actuators Are Not Just Springs

Ezequiel A. Di Paolo, Thomas Bührmann, 2006, SAB.

How (not) to model autonomous behaviour

Hiroyuki Iizuka, Ezequiel A. Di Paolo, H. Iizuka, 2008, Biosyst..

The evolution of control and adaptation in a 3D powered passive dynamic walker

Ezequiel A. Di Paolo, Eric D. Vaughan, Inman Harvey, 2004 .

Life in time - the missing temporal dimension in autopoiesis

Ezequiel A. Di Paolo, 2008, ALIFE.

Context and Challenges for Evolutionary Robotics

Inman Harvey, Phil Husbands, Ezequiel A. Di Paolo, 2014 .

Calculating Complete and Exact Pareto Front for Multiobjective Optimization: A New Deterministic Approach for Discrete Problems

Ming Wang, Ezequiel A. Di Paolo, Xiao-Bing Hu, 2013, IEEE Transactions on Cybernetics.

Time and Motion Studies: The Dynamics of Cognition, Computation and Humanoid Walking

Ezequiel A. Di Paolo, Eric D. Vaughan, Inman Harvey, 2004 .

Regarding Compass Response Functions For Modeling Path Integration: Comment on “Evolving a Neural Model of Insect Path Integration”

Ezequiel A. Di Paolo, Robert Vickerstaff, 2008, Adapt. Behav..

A ripple-spreading Genetic Algorithm for the airport Gate Assignment Problem

Ezequiel A. Di Paolo, Xiao-Bing Hu, 2009, 2009 IEEE Congress on Evolutionary Computation.

Minimal Agency Detection of Embodied Agents

Hiroyuki Iizuka, Ezequiel A. Di Paolo, H. Iizuka, 2007, ECAL.

Simulation models as opaque thought experiments

Seth Bullock, Ezequiel A. Di Paolo, Jason Noble, 2000 .

Adapting to Your Body

Eduardo Izquierdo-Torres, Ezequiel A. Di Paolo, Peter Fine, 2007, ECAL.

A review on ripple-spreading genetic algorithms for combinatorial optimization problems

Ming Wang, Mark S. Leeson, Ezequiel A. Di Paolo, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Toward Minimally Social Behavior: Social Psychology Meets Evolutionary Robotics

Tom Froese, Ezequiel A. Di Paolo, T. Froese, 2009, ECAL.

Cycles of Contingency: Developmental Systems and Evolution. Susan Oyama, Paul E. Griffiths, & Russell D. Gray (Eds.). (2000, MIT Press). $50.00, 377 pages.

Ezequiel A. Di Paolo, 2002 .

A comprehensive fuzz-rule-based self-adaptive genetic algorithm

Ezequiel A. Di Paolo, Shu-Fan Wu, Xiao-Bing Hu, 2008, Int. J. Intell. Comput. Cybern..

A study of GasNet spatial embedding in a delayed-response task

Phil Husbands, Ezequiel A. Di Paolo, Patrícia Amâncio Vargas, 2008, ALIFE.

Incremental Evolution of an Omni-directional Biped for Rugged Terrain

Inman Harvey, Phil Husbands, Ezequiel A. Di Paolo, 2014 .

Adaptation to Sensory Delays: An Evolutionary Robotics Model of an Empirical Study

Marieke Rohde, Ezequiel A. Di Paolo, 2007 .

A ripple-spreading network model for the study of infectious disease transmission

Ming Wang, Mark S. Leeson, Jian-Qin Liao, 2012, 2012 5th International Conference on BioMedical Engineering and Informatics.

Preliminary Investigations on the Evolvability of a Non spatial GasNet Model

Phil Husbands, Ezequiel A. Di Paolo, Patrícia Amâncio Vargas, 2007, ECAL.

Monostable Controllers for Adaptive Behaviour

Seth Bullock, Ezequiel A. Di Paolo, Christopher L. Buckley, 2008, SAB.

An Evolved Agent Performing Efficient Path Integration Based Homing and Search

Ezequiel A. Di Paolo, Robert Vickerstaff, 2005, ECAL.

Defining Agency: Individuality, Normativity, Asymmetry, and Spatio-temporality in Action

Xabier E. Barandiaran, Marieke Rohde, Ezequiel A. Di Paolo, 2009, Adapt. Behav..

Integrated information in the thermodynamic limit

Miguel Aguilera, Ezequiel A. Di Paolo, Miguel Aguilera, 2018, Neural Networks.

Artificial Life and Historical Processes

Ezequiel A. Di Paolo, E. Paolo, 2001, ECAL.

A ripple-spreading algorithm to calculate the k best solutions to the project time management problem

Ming Wang, Mark S. Leeson, Qiong Sun, 2013, 2013 IEEE Symposium on Computational Intelligence in Scheduling (CISched).

Extended Homeostatic Adaptation: Improving the Link between Internal and Behavioural Stability

Hiroyuki Iizuka, Ezequiel A. Di Paolo, 2008, SAB.

Crawling Out of the Simulation: Evolving Real Robot Morphologies Using Cheap, Reusable Modules

Ezequiel A. Di Paolo, Ian Macinnes, I. MacInnes, 2004 .

Stability of Coordination Requires Mutuality of Interaction in a Model of Embodied Agents

Tom Froese, Ezequiel A. Di Paolo, T. Froese, 2008, SAB.

A ripple-spreading algorithm for route optimization

Ming Wang, Mark S. Leeson, Qiong Sun, 2013, 2013 IEEE Symposium on Foundations of Computational Intelligence (FOCI).

Behavioral Metabolution - Metabolism Based Behavior Enables New Forms of Adaptation and Evolution

Xabier E. Barandiaran, Ezequiel A. Di Paolo, Matthew D. Egbert, 2010, ALIFE.

A Genetic Algorithm Based on Complex Networks Theory for the Management of Airline Route Networks

Ezequiel A. Di Paolo, Xiao-Bing Hu, Xiao-Bing Hu, 2007, NICSO.

Editorial

Tom Froese, Ezequiel A. Di Paolo, 2017, Adapt. Behav..

Artificial Life: Discipline or Method? Report on a Debate Held at ECAL '99

Jason Noble, Seth Bullock, Ezequiel A. Di Paolo, 2000, Artificial Life.

t for Two Linear Synergy Advances the Evolution of Directional Pointing Behaviour

Marieke Rohde, Ezequiel A. Di Paolo, 2005, ECAL.

Adaptive factors in the evolution of signaling systems

Seth Bullock, Ezequiel A. Di Paolo, Jason Noble, 2002 .

Searching for Rhythms in Asynchronous Random Boolean Networks

Ezequiel A. Di Paolo, 2000 .

A Field in Search of Maturity: A report on the 5th European Conference on Artificial Life

Ezequiel A. Di Paolo, 2000, Künstliche Intell..

The View From Elsewhere: Perspectives on ALife Modeling

Phil Husbands, Simon Kirby, Jason Noble, 2002, Artificial Life.

Genetic Algorithms for the Airport Gate Assignment: Linkage, Representation and Uniform Crossover

Ezequiel A. Di Paolo, Xiao-Bing Hu, E. D. Paolo, 2008, Linkage in Evolutionary Computation.

An efficient genetic algorithm with uniform crossover for air traffic control

Ezequiel A. Di Paolo, Xiao-Bing Hu, Xiao-Bing Hu, 2009, Comput. Oper. Res..

Spatial, temporal, and modulatory factors affecting GasNet evolvability in a visually guided robotics task

Andrew Philippides, Phil Husbands, Ezequiel A. Di Paolo, 2010, Complex..

Bridges and hobby-horses: John Stewart's adventure of ideas

Ezequiel A. Di Paolo, 2021, Adapt. Behav..

Enactivism is not interactionism

Ezequiel A. Di Paolo, Hanne De Jaegher, 2013, Front. Hum. Neurosci..

Editorial: The social and enactive mind

Ezequiel A. Di Paolo, E. Paolo, 2009 .

Ecological symmetry breaking can favour the evolution of altruism in an action-response game.

Ezequiel A. Di Paolo, E. Paolo, 2000 .

Chapter 3 Overcoming Autopoiesis: An Enactive Detour on the Way from Life to Society

Ezequiel A. Di Paolo, E. D. Paolo, E. Paolo, 2010 .

Exploring the Roots of Spatial Cognition in Artificial and Natural Organisms: The Evolutionary Robotics Approach

Inman Harvey, Phil Husbands, Ezequiel A. Di Paolo, 2014 .

The Enactive Conception of Life

Ezequiel A. Di Paolo, E. D. Paolo, E. Paolo, 2018 .

Locked-in syndrome: a challenge for embodied cognitive science

Ezequiel A. Di Paolo, E. D. Paolo, E. D. Di Paolo, 2013, Phenomenology and the Cognitive Sciences.

for single-trial learning in robots Evolving spike-timing-dependent plasticity

Ezequiel A. Di Paolo, E. Paolo, 2003 .