166 citations · 2.1k across the 99 of their papers we have counts for
18 papers · 1 filter
Quaternion Convolutional Neural Networks: Current Advances and Future Directions
Gerardo Altamirano-Gomez, Carlos Gershenson
Since their first applications, Convolutional Neural Networks (CNNs) have solved problems that have advanced the state-of-the-art in several domains. CNNs represent information usi…
Intelligence as information processing: brains, swarms, and computers
Carlos Gershenson
There is no agreed definition of intelligence, so it is problematic to simply ask whether brains, swarms, computers, or other systems are intelligent or not. To compare the potenti…
The Dynamically Extended Mind -- A Minimal Modeling Case Study
Tom Froese, Carlos Gershenson, David A. Rosenblueth
The extended mind hypothesis has stimulated much interest in cognitive science. However, its core claim, i.e. that the process of cognition can extend beyond the brain via the body…
Learning, Social Intelligence and the Turing Test - why an "out-of-the-box" Turing Machine will not pass the Turing Test
Bruce Edmonds, Carlos Gershenson
The Turing Test (TT) checks for human intelligence, rather than any putative general intelligence. It involves repeated interaction requiring learning in the form of adaption to th…
Are Minds Computable?
Carlos Gershenson
This essay explores the limits of Turing machines concerning the modeling of minds and suggests alternatives to go beyond those limits.
Polyethism in a colony of artificial ants
Chris Marriott, Carlos Gershenson
We explore self-organizing strategies for role assignment in a foraging task carried out by a colony of artificial agents. Our strategies are inspired by various mechanisms of divi…
What Does Artificial Life Tell Us About Death?
Carlos Gershenson
Short philosophical essay
Using RDF to Model the Structure and Process of Systems
Marko A. Rodriguez, Jennifer H. Watkins, Johan Bollen +1
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 direct…
The role of behavior modifiers in representation development
Carlos R. de la Mora B., Carlos Gershenson, Angelica Garcia-Vega
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 it…
Time-scales, Meaning, and Availability of Information in a Global Brain
Carlos Gershenson, Gottfried Mayer-Kress, Atin Das +2
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 i…
On the Notion of Cognition
Carlos Gershenson
We discuss philosophical issues concerning the notion of cognition basing ourselves in experimental results in cognitive sciences, especially in computer simulations of cognitive s…
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…
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,…
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…