Created by W.Langdon from gp-bibliography.bib Revision:1.4868
We present a novel evolutionary platform to tackle the problem of evolving computational intelligence in multi-agent simulations. It consists of an artificial brain model, called the gridbrain, a simulation embedded evolutionary algorithm (SEEA) and a software tool, LabLOVE.
The gridbrain model defines agent brains as heterogeneous networks of computational building blocks. A multi-layer approach allows gridbrains to process variable-sized information from several sensory channels. Computational building blocks allow for the use of base functionalities close to the underlying architecture of the digital computer. Evolutionary operators were devised to permit the adaptive complexification of gridbrains.
The SEEA algorithm enables the embedding of evolutionary processes in a continuous multiagent simulation in a non-intrusive way. Co-evolution of multiple species is possible. Two bioinspired extensions to the base algorithm are proposed, with the goal of promoting the emergence of cooperative behaviours.
The LabLOVE tool provides an object model where simulation scenarios are defined by way of local interactions. The representation of simulation object features as symbols mitigates the need for pre-defined agent sensory and action interfaces. This increases the freedom of evolutionary processes to generate diversified behaviors.
Experimental results are presented, where our models are validated. The role of the several genetic operators and evolutionary parameters is analysed and discussed. Insights are gained, like the role of our recombination operator in bloat control or the importance of neutral search. In scenarios that require cooperation, we demonstrate the emergence of synchronisation behaviours that would be difficult to achieve under conventional approaches. Kin selection and group selection based approaches are compared. In a scenario where two species are in competition, we demonstrated the emergence of specialisation niches without the need for geographical isolation.",
Supervisor Doctor Ernesto Jorge Fernandes Costa Full Professor of the Department of Informatics Engineering of the Faculty of Sciences and Technology of the University of Coimbra)",
Genetic Programming entries for Telmo Menezes