We analyse works of digital art that use a technique from artificial life (ALife) called computational ecosystems (CEs). These are systems running on computers where agents are organized in a hierarchical structure (of a food-chain) and trade token units (of energy and biomass) as a way of promoting community dynamics. We analyse a collection of forty (40) papers communicating works developed in the last two decades. We classify each of these works according to an adapted taxonomy. We then produce a study of cumulative analysis to outline patterns and common features which might define the field. We conclude on the diversity and heterogeneity of the practice, to assert CEs as a multimedia generative tool useful in the construction of bio-mi...
The use of bio-inspired computing offers a wide range of solutions and opportunities, both for scien...
We start with a discussion of the relevant literature, including Nature Inspired Co-muting as a fram...
This paper addresses problems in computational creative discovery, either autonomous or in synergeti...
We study the use of the generative systems known as computational ecosystems to convey artistic and ...
The progress in the scientific understanding/simulation of the evolution mechanisms and the first te...
The project studies the evolution of some digital organisms in a simple world whose rules they learn...
Abstract. This paper explores strategies for slowing the onset of convergence in an evolving populat...
This paper analyses modes of interpretation of that part of the generative art practice making use o...
A novel approach to a decentralized autonomous model of agency for general purpose Non-Player Charac...
The focus in this paper is the application of evolutionary computing processes in the generation of ...
The focus in this paper is the application of evolutionary computing processes in the generation of ...
In this paper, we examine virtual ecosystems as general-purpose authoring tools for heterogeneity an...
In this paper, we examine virtual ecosystems as general-purpose authoring tools for heterogeneity an...
In this paper, we examine virtual ecosystems as general-purpose authoring tools for heterogeneity an...
This paper introduces the concept of a virtual ecosystem and reports the following three mathematica...
The use of bio-inspired computing offers a wide range of solutions and opportunities, both for scien...
We start with a discussion of the relevant literature, including Nature Inspired Co-muting as a fram...
This paper addresses problems in computational creative discovery, either autonomous or in synergeti...
We study the use of the generative systems known as computational ecosystems to convey artistic and ...
The progress in the scientific understanding/simulation of the evolution mechanisms and the first te...
The project studies the evolution of some digital organisms in a simple world whose rules they learn...
Abstract. This paper explores strategies for slowing the onset of convergence in an evolving populat...
This paper analyses modes of interpretation of that part of the generative art practice making use o...
A novel approach to a decentralized autonomous model of agency for general purpose Non-Player Charac...
The focus in this paper is the application of evolutionary computing processes in the generation of ...
The focus in this paper is the application of evolutionary computing processes in the generation of ...
In this paper, we examine virtual ecosystems as general-purpose authoring tools for heterogeneity an...
In this paper, we examine virtual ecosystems as general-purpose authoring tools for heterogeneity an...
In this paper, we examine virtual ecosystems as general-purpose authoring tools for heterogeneity an...
This paper introduces the concept of a virtual ecosystem and reports the following three mathematica...
The use of bio-inspired computing offers a wide range of solutions and opportunities, both for scien...
We start with a discussion of the relevant literature, including Nature Inspired Co-muting as a fram...
This paper addresses problems in computational creative discovery, either autonomous or in synergeti...