The Emergence of a 'Language' in an Evolving Population of Neural Networks

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Neural Systems and Artificial Life Group, Institute of Psychology, National Research Council, Rome The emergence of a "language" in an evolving population of neural networks

The evolution of language implies the co-evolution of an ability to respond appropriately to signals (language understanding) and the ability to produce the appropriate signals in the appropriate circumstances (language production). When linguistic signals are produced to inform other individuals, individuals that respond appropriately to signals may increase their reproductive chances but it i...

Evolution of communication using symbol combination in populations of neural networks

This paper uses a model of neural networks and genetic algorithms to simulate the evolution of communication in populations of evolving neural networks. It focuses on the emergence of simple forms of syntax, i.e. the combination of two symbols. The simulation task resembles SavageRumbaugh & Rumbaugh’s experiment [11] on ape language and symbol acquisition. The simulation results show the evolut...

Designing an expert system for differential diagnosis of β-Thalassemia minor and Iron-Deficiency anemia using neural network

Introduction: Artificial neural networks are a type of systems that use very complex technologies and non-algorithmic solutions for problem solving. These characteristics make them suitable for various medical applications. This study set out to investigate the application of artificial neural networks for differential diagnosis of thalassemia minor and iron-deficiency anemia. Methods: It is...

Diagnosis Prediction of Lichen Planus, Leukoplakia and Oral Squamous Cell Carcinoma by using an Intelligent System Based on Artificial Neural Networks

Introduction: Diagnosis, prediction and control of oral lesions is usually done classically based on clinical signs and histopathologic features. Due to lack of timely diagnosis in all conventional methods or differential diagnosis, biopsy of patient is needed. Therefore, the patient might be irritated. So, an intelligent method for quick and accurate diagnosis would be crucial. Intelligent sys...