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Defining and identifying communities in networks.
- F. Radicchi, C. Castellano, F. Cecconi, V. Loreto, D. Parisi
- Computer ScienceProceedings of the National Academy of Sciences…
- 21 September 2003
This article proposes a local algorithm to detect communities which outperforms the existing algorithms with respect to computational cost, keeping the same level of reliability and applies to a network of scientific collaborations, which, for its size, cannot be attacked with the usual methods.
Rethinking Innateness: A Connectionist Perspective on Development
A new framework in which interactions, occurring at all levels, give rise to emergent forms and behaviors that are not themselves directly contained in the genes in any domain-specific way is described.
Learning and Evolution in Neural Networks
Simulation on populations of neural networks that both evolve at the population level and learn at the individual level finds both individuals that have high fitness and individuals that, although they do not have high Fitness at birth, end up with high fitness because they learn to predict.
The Emergence of a 'Language' in an Evolving Population of Neural Networks
Simulation of populations of neural networks living in an environment evolve a simple language with an informative function that evolves as a byproduct of the independently evolving perceptual ability to categorize mushrooms.
Learning to Adapt to Changing Environments in Evolving Neural Networks
A genetic algorithm is used to simulate the evolution of a population of neural networks, each controlling the behavior of a small mobile robot that must explore efficiently an environment surrounded by walls, and found that evolved networks incorporate a genetically inherited predisposition to learn.
Simulating the Evolution of Language
This volume provides a comprehensive survey of computational models and methodologies used for studying the origin and evolution of language and communication. With contributions from the most…
- D. Parisi
- ArtConnect. Sci.
- 1 December 2004
Seven differences between the two types of interactions are discussed and some examples of internal robotics are briefly described: robots that evolve a biological clock that allows them to look for food during the day and to rest at night.
Cell division and migration in a ‘genotype’ for neural networks
This paper presents a model of neural development which includes cell division and cell migration in addition to axonal growth and branching, and finds that mutations that affect different phases of development have very different evolutionary consequences.
Cultural Transmission Between and Within Generations
The results suggest that intra-generational transmission has the role of adding variability to the evolutionary process and that this function seems particularly useful when the population lives in a rapidly changing environment.
The Evolution of Pain
We describe two simple simulations in which artificial organisms evolve an ability to respond to inputs from within their own body and these inputs themselves can evolve. In the first simulation the…