Add to ORKGNEAT (NeuroEvolution of Augmenting Topologies) is a genetic algorithm (GA) for artificial neural network (ANN) training. Evolutionary algorithms like NEAT can be used to study evolutionary behaviors. This thesis examines the effects of applying NEAT to the simulation of birds, controlled by ANNs, in a predator-prey environment. The birds are given only a motivation to survive, with the intention of observing whether or not more complex behaviors can emerge. The results positively indicated the emergence of complex behaviors as a symptom of survival
In this report we simulate artificial intelligence in animals using genetic algorithms. In similar m...
Capturing higher-order principles of evolution and neural function in a model may result in simulati...
This paper describes a computational model of searching behavior of lady beetle (Coccinella septempu...
Reclamation projects give an impression that a severe environmental damage is certain. However, the ...
The paper is a demonstration of using the NEAT algorithm to allow artificial neural networks to evol...
The creation of strategies to meet abstract goals is an important behavior exhibited by natural orga...
The goal of this work is construction of an artificial life model and simulation of organisms in an ...
The author's aim in this project was to develop a neural network unit with the incorporation of a ge...
This Masters thesis gives a thorough description of a study carried out in the Self-Organizing Syste...
In this report we present the results of a series of simulations in which neural networks undergo ch...
Abstract Generally, in nature, non-human creatures perform adaptive behaviors to external environmen...
Learning and evolution are two fundamental forms of adaptation. There has been a great interest in c...
ABSTRACT To understand and analysis behavior of complicated and intelligent organisms, scientists a...
This master thesis investigates the evolution of predator swarm intelligence in predator- prey relat...
The creation of strategies to meet abstract goals is an important behavior exhibited by natural orga...
In this report we simulate artificial intelligence in animals using genetic algorithms. In similar m...
Capturing higher-order principles of evolution and neural function in a model may result in simulati...
This paper describes a computational model of searching behavior of lady beetle (Coccinella septempu...
Reclamation projects give an impression that a severe environmental damage is certain. However, the ...
The paper is a demonstration of using the NEAT algorithm to allow artificial neural networks to evol...
The creation of strategies to meet abstract goals is an important behavior exhibited by natural orga...
The goal of this work is construction of an artificial life model and simulation of organisms in an ...
The author's aim in this project was to develop a neural network unit with the incorporation of a ge...
This Masters thesis gives a thorough description of a study carried out in the Self-Organizing Syste...
In this report we present the results of a series of simulations in which neural networks undergo ch...
Abstract Generally, in nature, non-human creatures perform adaptive behaviors to external environmen...
Learning and evolution are two fundamental forms of adaptation. There has been a great interest in c...
ABSTRACT To understand and analysis behavior of complicated and intelligent organisms, scientists a...
This master thesis investigates the evolution of predator swarm intelligence in predator- prey relat...
The creation of strategies to meet abstract goals is an important behavior exhibited by natural orga...
In this report we simulate artificial intelligence in animals using genetic algorithms. In similar m...
Capturing higher-order principles of evolution and neural function in a model may result in simulati...
This paper describes a computational model of searching behavior of lady beetle (Coccinella septempu...