Modeling self-organizing traffic lights with elementary cellular automata (2009)
Gershenson, Carlos, Rosenblueth, David A.
There have been several highway traffic models proposed based on cellular automata. The simplest one is elementary cellular automaton rule 184. We extend this model to city traffic with cellular...
Enfrentando a la Complejidad: Predecir vs. Adaptar (2009)
Una de las presuposiciones de la ciencia desde los tiempos de Galileo, Newton y Laplace ha sido la previsibilidad del mundo. Esta idea ha influido en los modelos cientificos y tecnologicos. Sin...
Steffen Staab, Francis Heylighen, Carlos Gershenson
I first encountered the principle of self-organization in my last year of high school, when our teacher had us give a series of talks on a high-level view of the works of Ilya Prigogine, Humberto...
Carlos Gershenson, Francis Heylighen, Centrum Leo Apostel
This chapter does not deal with specific tools and techniques for managing complex systems, but proposes some basic concepts that help us to think and speak about complexity. We review classical...
Carlos Gershenson, Centrum Leo Apostel
The goal of this paper is to contribute to eGovernment efforts, encouraging the use of self-organization as a method to improve the efficiency and adaptability of bureaucracies and similar social...
The Sigma Profile: A Formal Tool to Study Organization and its Evolution at Multiple Scales (2008)
The $\sigma$ profile is presented as a tool to analyze the organization of systems at different scales, and how this organization changes in time. Describing structures at different scales as...
Steffen Staab, Francis Heylighen, Carlos Gershenson
I first encountered the principle of self-organization in my last year of high school, when our teacher had us give a series of talks on a high-level view of the works of Ilya Prigogine, Humberto...
Comparing Different Cognitive Paradigms with a Virtual Laboratory (2008)
Carlos Gershenson, Centrum Leo Apostel
A public virtual laboratory is presented, where animats are controlled by mechanisms from different cognitive paradigms. A brief description of the characteristics of the laboratory and the uses it...
Is Life Reversible, Carlos Gershenson
sily searchable by a particular method (mutation, recombination) will have an advantage. But then, the search methods will be selected accordingly to the current fitness landscapes. A coevolving...
Evolution of Complexity (2007)
Gershenson, Carlos, Lenaerts, Tom
The evolution of complexity has been a central theme for Biology [2] and Artificial Life research [1]. It is generally agreed that complexity has increased in our universe, giving way to life,...
Using RDF to Model the Structure and Process of Systems (2007)
Rodriguez, Marko A., Watkins, Jennifer H., Bollen, Johan, Gershenson, Carlos
Many systems can be described in terms of networks of discrete elements and their various relationships to one another. A semantic network, or multi-relational network, is a directed labeled graph...
The World as Evolving Information (2007)
This paper discusses the benefits of describing the world as information, especially in the study of the evolution of life and cognition. Traditional studies encounter problems because it is...
The World as Evolving Information (2007)
This philosophical paper discusses the benefits of describing the world as information, especially in the study of the evolution of life and cognition. Traditional studies encounter difficulties...
The World as Evolving Information (2007)
This philosophical paper discusses the benefits of describing the world as information, especially in the study of the evolution of life and cognition. Traditional studies encounter difficulties...
The World as Evolving Information (2007)
This philosophical paper discusses the benefits of describing the world as information, especially in the study of the evolution of life and cognition. Traditional studies encounter difficulties...
Design and Control of Self-organizing Systems (2007)
Complex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this thesis...
Design and Control of Self-organizing Systems (2007)
Complex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this thesis...
Design and Control of Self-organizing Systems (2007)
Complex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this thesis...
The World as Evolving Information (2007)
Carlos Gershenson, Centrum Leo Apostel
This paper discusses the benefits of describing the world as information, especially in the study of the evolution of life and cognition. Traditional studies encounter problems because it is...
Marko A. Rodriguez, Daniel J. Steinbock, Jennifer H. Watkins, Carlos Gershenson, Johan Bollen, Victor Grey, ...
Abstract — Smartocracy is a social software system for collective decision making. The system is composed of a social network that links individuals to those they trust to make good decisions and a...
Using RDF to model the structure and process of systems (2007)
Marko A. Rodriguez, Jennifer H. Watkins, Johan Bollen, Carlos Gershenson
Many systems can be described in terms of networks of discrete elements and their various relationships to one another. A semantic network, or multi-relational network, is a directed labeled graph...
Marko A. Rodriguez, Daniel J. Steinbock, Jennifer H. Watkins, Carlos Gershenson, Johan Bollen, Victor Grey, ...
Smartocracy is a social software system for collective decision making. The system is composed of a social network that links individuals to those they trust to make good decisions and a decision...
Phd Dissertation Presented, Carlos Gershenson, Promoters Prof, Dr. Bart D’hooghe, Prof Dr, Francis Heylighen, ...
ii
Phd Dissertation Presented, Carlos Gershenson, Promoters Prof, Dr. Bart D’hooghe, Prof Dr, Francis Heylighen, ...
ii
Using RDF to model the structure and process of systems (2007)
Marko A. Rodriguez, Jennifer H. Watkins, Johan Bollen, Carlos Gershenson
Many systems can be described in terms of networks of discrete elements and their various relationships to one another. A semantic network, or multi-relational network, is a directed labeled graph...
Self-organizing traffic lights: A realistic simulation (2006)
Cools, Seung-Bae, Gershenson, Carlos, D'Hooghe, Bart
We have previously shown in an abstract simulation (Gershenson, 2005) that self-organizing traffic lights can improve greatly traffic flow for any density. In this paper, we extend these results to a...
Evolution of Complexity: Introduction to the Workshop (2006)
Gershenson, Carlos, Lenaerts, Tom
The evolution of complexity has been a central theme for Biology and Artificial Life (Bonner, 1988; Bedau et al., 2000). Complexification has been interpreted in different ways: as a process of...
Complexity and Philosophy (2006)
Heylighen, Francis, Cilliers, Paul, Gershenson, Carlos
The science of complexity is based on a new way of thinking that stands in sharp contrast to the philosophy underlying Newtonian science, which is based on reductionism, determinism, and objective...
Towards Self-organizing Bureaucracies (2006)
This paper proposes self-organization as a method to improve the efficiency and adaptability of bureaucracies and similar social systems. Bureaucracies are described as networks of agents, where the...
Complexity and Philosophy (2006)
Heylighen, Francis, Cilliers, Paul, Gershenson, Carlos
The science of complexity is based on a new way of thinking that stands in sharp contrast to the philosophy underlying Newtonian science, which is based on reductionism, determinism, and objective...
Complexity and Philosophy (2006)
Heylighen, Francis, Cilliers, Paul, Gershenson, Carlos
The science of complexity is based on a new way of thinking that stands in sharp contrast to the philosophy underlying Newtonian science, which is based on reductionism, determinism, and objective...
Complexity and Philosophy (2006)
Heylighen, Francis, Cilliers, Paul, Gershenson, Carlos
The science of complexity is based on a new way of thinking that stands in sharp contrast to the philosophy underlying Newtonian science, which is based on reductionism, determinism, and objective...
A general methodology for designing self-organizing systems (2006)
Carlos Gershenson, Centrum Leo Apostel
This paper presents a conceptual framework for speaking about self-organizing systems. The aim is to provide a methodology useful for designing and controlling systems developed to solve complex...
The Role of Redundancy in the Robustness of Random Boolean Networks (2005)
Gershenson, Carlos, Kauffman, Stuart A., Shmulevich, Ilya
Evolution depends on the possibility of successfully exploring fitness landscapes via mutation and recombination. With these search procedures, exploration is difficult in "rugged" fitness...
A General Methodology for Designing Self-Organizing Systems (2005)
Our technologies complexify our environments. Thus, new technologies need to deal with more and more complexity. Several efforts have been made to deal with this complexity using the concept of...
Self-Organizing Traffic Lights (2004)
Steering traffic in cities is a very complex task, since improving efficiency involves the coordination of many actors. Traditional approaches attempt to optimize traffic lights for a particular...
Introduction to Random Boolean Networks (2004)
The goal of this tutorial is to promote interest in the study of random Boolean networks (RBNs). These can be very interesting models, since one does not have to assume any functionality or...
Protocol Requirements for Self-organizing Artifacts: Towards an Ambient Intelligence (2004)
Gershenson, Carlos, Heylighen, Francis
We discuss which properties common-use artifacts should have to collaborate without human intervention. We conceive how devices, such as mobile phones, PDAs, and home appliances, could be seamlessly...
The role of behavior modifiers in representation development (2004)
Gershenson, Carlos, Garcia-Vega, Angelica
We address the problem of the development of representations and their relationship to the environment. We study a software agent which develops in a network a representation of its simple...
How can we think the complex? (2004)
Gershenson, Carlos, Heylighen, Francis
This chapter does not deal with specific tools and techniques for managing complex systems, but proposes some basic concepts that help us to think and speak about complexity. We review classical...
Updating Schemes in Random Boolean Networks: Do They Really Matter? (2004)
In this paper we try to end the debate concerning the suitability of different updating schemes in random Boolean networks (RBNs). We quantify for the first time loose attractors in asyncrhonous...
How can we think the complex? (2004)
Gershenson, Carlos, Heylighen, Francis
In this chapter we want to provide philosophical tools for understanding and reasoning about complex systems. Classical thinking, which is taught at most schools and universities, has several...
How can we think the complex? (2004)
Gershenson, Carlos, Heylighen, Francis
In this chapter we want to provide philosophical tools for understanding and reasoning about complex systems. Classical thinking, which is taught at most schools and universities, has several...
How can we think the complex? (2004)
Gershenson, Carlos, Heylighen, Francis
In this chapter we want to provide philosophical tools for understanding and reasoning about complex systems. Classical thinking, which is taught at most schools and universities, has several...
Protocol requirements for self-organizing artifacts: Towards an ambient intelligence (2004)
Carlos Gershenson, Francis Heylighen
We discuss which properties common-use artifacts should have to collaborate without human intervention. We conceive how devices, such as mobile phones, PDAs, and home appliances, could be seamlessly...
Phase Transitions in Random Boolean Networks with Different Updating Schemes (2003)
In this paper we study the phase transitions of different types of Random Boolean networks. These differ in their updating scheme: synchronous, semi-synchronous, or asynchronous, and deterministic or...
Self-organizing Traffic Control: First Results (2003)
We developed a virtual laboratory for traffic control where agents use different strategies in order to self-organize on the road. We present our first results where we compare the performance and...
Artificial Neural Networks for Beginners (2003)
The scope of this teaching package is to make a brief induction to Artificial Neural Networks (ANNs) for people who have no previous knowledge of them. We first make a brief introduction to models of...
Introduction to Chaos in Deterministic Systems (2003)
The scope of this teaching package is to make a brief introduction to some notions and properties of chaotic systems. We first make a brief introduction to chaos in general and then we show some...
Time-scales, Meaning, and Availability of Information in a Global Brain (2003)
Gershenson, Carlos, Mayer-Kress, Gottfried, Das, Atin, Das, Pritha, Marko, Matus
We note the importance of time-scales, meaning, and availability of information for the emergence of novel information meta-structures at a global scale. We discuss previous work in this area and...
On the Notion of Cognition (2003)
We discuss philosophical issues concerning the notion of cognition basing ourselves in experimental results in cognitive sciences, especially in computer simulations of cognitive systems. There have...
When Can we Call a System Self-organizing? (2003)
Gershenson, Carlos, Heylighen, Francis
We do not attempt to provide yet another definition of selforganization, but explore the conditions under which we can model a system as self-organizing. These involve the dynamics of entropy, and...
Contextual Random Boolean Networks (2003)
Gershenson, Carlos, Broekaert, Jan, Aerts, Diederik
We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks [Gershenson, 2002] as models of contextual deterministic discrete dynamical systems. We show that changes in the...
Contextual Random Boolean Networks (2003)
Carlos Gershenson, Jan Broekaert, Diederik Aerts, Centrum Leo Apostel
We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks [1] as models of contextual deterministic discrete dynamical systems. We show that changes in the context have...
When can we call a system self-organizing (2003)
Carlos Gershenson, Francis Heylighen, Centrum Leo Apostel
Abstract. We do not attempt to provide yet another definition of selforganization, but explore the conditions under which we can model a system as self-organizing. These involve the dynamics of...
Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism (2002)
Gershenson, Carlos, Gonzalez, Pedro Pablo
This paper presents a model for dynamic adjustment of the motivation degree, using a reinforcement learning approach, in an action selection mechanism previously developed by the authors. The...
Perez, Pedro Pablo Gonzalez, Gershenson, Carlos, Garcia, Maura Cardenas, Otero, Jaime Lagunez
This paper proposes to model the intracellular signalling networks using a fusion of behaviour-based systems and the blackboard architecture. In virtue of this fusion, the model developed by us,...
Integration of Computational Techniques for the Modelling of Signal Transduction (2002)
Perez, Pedro Pablo Gonzalez, Garcia, Maura Cardenas, Gershenson, Carlos, Lagunez-Otero, Jaime
A cell can be seen as an adaptive autonomous agent or as a society of adaptive autonomous agents, where each can exhibit a particular behaviour depending on its cognitive capabilities. We present an...
Thinking Adaptive: Towards a Behaviours Virtual Laboratory (2002)
Gershenson, Carlos, Gonzalez, Pedro Pablo, Negrete, Jose
In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should be useful for both biologists and AI researchers, offering a new...
As a part of our effort for studying the evolution and development of cognition, we present results derived from synthetic experimentations in a virtual laboratory where animats develop koncepts...
In this thesis I present a virtual laboratory which implements five different models for controlling animats: a rule-based system, a behaviour-based system, a concept-based system, a neural network,...
In this thesis I present a virtual laboratory which implements five different models for controlling animats: a rule-based system, a behaviour-based system, a concept-based system, a neural network,...
Classification of Random Boolean Networks (2002)
We provide the first classification of different types of Random Boolean Networks (RBNs). We study the differences of RBNs depending on the degree of synchronicity and determinism of their updating...
In this thesis I present a virtual laboratory which implements five different models for controlling animats: a rule-based system, a behaviour-based system, a concept-based system, a neural network,...
In this thesis I present a virtual laboratory which implements five different models for controlling animats: a rule-based system, a behaviour-based system, a concept-based system, a neural network,...
Philosophical Ideas on the Simulation of Social Behaviour (2002)
In this study we consider some of the philosophical issues that should be taken into account when simulating social behaviour. Even though the ideas presented here are philosophical, they should be...
Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge (2002)
In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based...
A Study on the Relevance of Information in Discriminative and Non-Discriminative Media (2002)
Gershenson, Carlos, Porter, Mason A., Probst, Andrej, Marko, Matus, Das, Atin
In this paper we compare the relevance of information obtained from "discriminative" media and from "non-discriminative" media. Discriminative media are the ones which accumulate and deliver...
As science, knowledge, and ideas evolve and are increased and refined, the branches of philosophy in charge of describing them should also be increased and refined. In this work we try to expand some...
Classification of Random Boolean Networks (2002)
We provide the first classification of different types of Random Boolean Networks (RBNs). We study the differences of RBNs depending on the degree of synchronicity and determinism of their updating...
Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge (2002)
In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based...
Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge (2002)
In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based...
As science, knowledge, and ideas evolve and are increased and refined, the branches of philosophy in charge of describing them should also be increased and refined. In this work we try to expand some...
Classification of Random Boolean Networks (2002)
We provide the first classification of different types of Random Boolean Networks (RBNs). We study the differences of RBNs depending on the degree of synchronicity and determinism of their updating...
Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge (2002)
In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based...
Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge (2002)
In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based...
As science, knowledge, and ideas evolve and are increased and refined, the branches of philosophy in charge of describing them should also be increased and refined. In this work we try to expand some...
Classification of Random Boolean Networks (2002)
We provide the first classification of different types of Random Boolean Networks (RBNs). We study the differences of RBNs depending on the degree of synchronicity and determinism of their updating...
Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge (2002)
In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based...
Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge (2002)
In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based...
We develop on the idea that everything is related, inside, and therefore determined by a context. This stance, which at first might seem obvious, has several important consequences. This paper first...
Behaviour-based Knowledge Systems: An epigenetic path from Behaviour to Knowledge. To appear (2002)
In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based...
Carlos Gershenson, Advisor Chris Thornton, Pedro Pablo González, Jaime Lagunez, Javier Fer
In this thesis I present a virtual laboratory which implements five different models for controlling animats: a rule-based system, a behaviour-based system, a concept-based system, a neural network,...
Comments to Neutrosophy (2001)
Any system based on axioms is incomplete because the axioms cannot be proven from the system, just believed. But one system can be less-incomplete than other. Neutrosophy is less-incomplete than many...
We present several philosophical ideas emerging from the studies of complex systems. We make a brief introduction to the basic concepts of complex systems, for then defining "abstraction levels"....
Artificial Societies of Intelligent Agents (2001)
In this thesis we present our work, where we developed artificial societies of intelligent agents, in order to understand and simulate adaptive behaviour and social processes. We obtain this in three...
Artificial Societies of Intelligent Agents (2001)
In this thesis we present our work, where we developed artificial societies of intelligent agents, in order to understand and simulate adaptive behaviour and social processes. We obtain this in three...
Artificial Societies of Intelligent Agents (2001)
In this thesis we present our work, where we developed artificial societies of intelligent agents, in order to understand and simulate adaptive behaviour and social processes. We obtain this in three...
Comments to Neutrosophy (2001)
Any system based on axioms is incomplete because the axioms cannot be proven from the system, just believed. But one system can be less-incomplete than other. Neutrosophy is less-incomplete than many...
Comments to Neutrosophy (2001)
Any system based on axioms is incomplete because the axioms cannot be proven from the system, just believed. But one system can be less-incomplete than other. Neutrosophy is less-incomplete than many...
Comments to Neutrosophy (2001)
Any system based on axioms is incomplete because the axioms cannot be proven from the system, just believed. But one system can be less-incomplete than other. Neutrosophy is less-incomplete than many...
Thinking Adaptive: Towards a Behaviours Virtual (2000)
Gershenson, Carlos, Gonzalez Perez, Pedro Pablo, Negrete Martinez, Jose
In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should be useful for both biologists and AI researchers, offering a new...
Thinking Adaptive: Towards a Behaviours Virtual (2000)
Gershenson, Carlos, Gonzalez Perez, Pedro Pablo, Negrete Martinez, Jose
In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should be useful for both biologists and AI researchers, offering a new...
Thinking Adaptive: Towards a Behaviours Virtual (2000)
Gershenson, Carlos, Gonzalez Perez, Pedro Pablo, Negrete Martinez, Jose
In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should be useful for both biologists and AI researchers, offering a new...
Modelling Emotions with Multidimensional Logic (1999)
One of the objectives of Artificial Intelligence has been the modelling of "human" characteristics, such as emotions, behaviour, conscience, etc. But in such characteristics we might find certain...
Modelling Emotions with Multidimensional Logic (1999)
One of the objectives of Artificial Intelligence has been the modelling of "human" characteristics, such as emotions, behaviour, conscience, etc. But in such characteristics we might find certain...
Modelling Emotions with Multidimensional Logic (1999)
One of the objectives of Artificial Intelligence has been the modelling of "human" characteristics, such as emotions, behaviour, conscience, etc. But in such characteristics we might find certain...
Philosophical Ideas on the Simulation of Social Behaviour
In this study we consider some of the philosophical issues that should be taken into account when simulating social behaviour. Even though the ideas presented here are philosophical, they should be...