International audienceIn this chapter a virtual ecosystem environment with basic physical law and energy concept has been proposed, this ecosystem is populated with 3D virtual creatures that are living in this environment in order to forage food. Artificial behaviors are developed in order to control artificial creatures. Initially, we study the behavior of herbivore’s creatures, which feed resources available in their environment. A genetic algorithm with an artificial neural network were implemented together to guarantee some of these behaviors like searching food. Foods are presented in different locations in the virtual ecosystem. The evolutionary process uses the physical properties of the virtual creatures and an external fitness func...
The development of computer-generated ecosystem simulations are becoming more common due to the grea...
This paper presents a Genetic Algorithm (GA) based evolution framework in which Spiking Neural Netwo...
In this paper, we present a novel implementation of an ecosystem simulation. In our previous work, w...
Abstract—Artificially evolving foraging behavior in simulated legged animals has proved to be a noto...
Capturing higher-order principles of evolution and neural function in a model may result in simulati...
Abstract: In current virtual worlds, plants are most often represented as static objects or, at best...
The project studies the evolution of some digital organisms in a simple world whose rules they learn...
This paper introduces the concept of a virtual ecosystem and reports the following three mathematica...
De par son enjeu écologique important, l’étude des relations des êtres vivants entre eux et avec leu...
As ecosystems are complex domains, both analytical and computer-aided models can aid in gaining insi...
This paper presents the intelligent virtual animals that inhabit Omosa, a virtual learning environme...
The evolution of the movement of virtual creatures is an interesting application of evolutionary alg...
Abstract. This paper adopts an interdisciplinary view of the significant elements of ecosystems and ...
The goal of this work is construction of an artificial life model and simulation of organisms in an ...
Methods for using the Torque® game engine to test the predictions of three optimal foraging models o...
The development of computer-generated ecosystem simulations are becoming more common due to the grea...
This paper presents a Genetic Algorithm (GA) based evolution framework in which Spiking Neural Netwo...
In this paper, we present a novel implementation of an ecosystem simulation. In our previous work, w...
Abstract—Artificially evolving foraging behavior in simulated legged animals has proved to be a noto...
Capturing higher-order principles of evolution and neural function in a model may result in simulati...
Abstract: In current virtual worlds, plants are most often represented as static objects or, at best...
The project studies the evolution of some digital organisms in a simple world whose rules they learn...
This paper introduces the concept of a virtual ecosystem and reports the following three mathematica...
De par son enjeu écologique important, l’étude des relations des êtres vivants entre eux et avec leu...
As ecosystems are complex domains, both analytical and computer-aided models can aid in gaining insi...
This paper presents the intelligent virtual animals that inhabit Omosa, a virtual learning environme...
The evolution of the movement of virtual creatures is an interesting application of evolutionary alg...
Abstract. This paper adopts an interdisciplinary view of the significant elements of ecosystems and ...
The goal of this work is construction of an artificial life model and simulation of organisms in an ...
Methods for using the Torque® game engine to test the predictions of three optimal foraging models o...
The development of computer-generated ecosystem simulations are becoming more common due to the grea...
This paper presents a Genetic Algorithm (GA) based evolution framework in which Spiking Neural Netwo...
In this paper, we present a novel implementation of an ecosystem simulation. In our previous work, w...