166 citations · 2.1k across the 99 of their papers we have counts for
13 papers · 1 filter
A Model for Combination of External and Internal Stimuli in the Action Selection of an Autonomous Agent
Pedro Pablo Gonzalez Perez, Jose Negrete Martinez, Ariel Barreiro Garcia +1
This paper proposes a model for combination of external and internal stimuli for the action selection in an autonomous agent, based in an action selection mechanism previously prop…
Action Selection Properties in a Software Simulated Agent
Carlos Gershenson Garcia, Pedro Pablo Gonzalez Perez, Jose Negrete Martinez
This article analyses the properties of the Internal Behaviour network, an action selection mechanism previously proposed by the authors, with the aid of a simulation developed for…
Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism
Carlos Gershenson, Pedro Pablo Gonzalez
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 a…
Integration of Computational Techniques for the Modelling of Signal Transduction
Pedro Pablo Gonzalez Perez, Maura Cardenas Garcia, Carlos Gershenson +1
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 capabilit…
Modelling intracellular signalling networks using behaviour-based systems and the blackboard architecture
Pedro Pablo Gonzalez Perez, Carlos Gershenson, Maura Cardenas Garcia +1
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 de…
Thinking Adaptive: Towards a Behaviours Virtual Laboratory
Carlos Gershenson, Pedro Pablo Gonzalez, Jose Negrete
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, offe…
Adaptive Development of Koncepts in Virtual Animats: Insights into the Development of Knowledge
Carlos Gershenson
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 de…
A Comparison of Different Cognitive Paradigms Using Simple Animats in a Virtual Laboratory, with Implications to the Notion of Cognition
Carlos Gershenson
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,…
Classification of Random Boolean Networks
Carlos Gershenson
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…
Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge
Carlos Gershenson
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 betw…
Neural Net Model for Featured Word Extraction
A. Das, M. Marko, A. Probst +2
Search engines perform the task of retrieving information related to the user-supplied query words. This task has two parts; one is finding "featured words" which describe an artic…
Transforming the World Wide Web into a Complexity-Based Semantic Network
M. Marko, M. A. Porter, A. Probst +2
The aim of this paper is to introduce the idea of the Semantic Web to the Complexity community and set a basic ground for a project resulting in creation of Internet-based semantic…
A Study on the Relevance of Information in Discriminative and Non-Discriminative Media
Carlos Gershenson, Mason A. Porter, Andrej Probst +2
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 a…