Titulo Estágio
Evolutionary Creativity
Áreas de especialidade
Sistemas Inteligentes
Local do Estágio
CISUC
Enquadramento
The natural process of biological evolution is arguably the greatest creator we know. Over time, it has designed a wide variety of species which, in their own way, through creative and novel ways, attempt to solve the prevalent problem of survival in a difficult and dynamic environment, ultimately leading to the development of a variety of physical traits and behaviours.
Evolution can be regarded as a powerful process, capable of shaping and adapting complex characteristics. Therefore, while studying computational creativity, one should adopt an inclusive view, accounting for the notions of generative and adaptive creativity. While generative creativity deals with acts that are not necessarily beneficial to the system, adaptive creativity can be linked to the direct evolutionary advantages of the creative act.
Objetivo
During this thesis, we will contribute to the understanding of the role of sexual selection on the development of creativity and art through the extension of a-life environments that will allow their testing in silico. The environment should support the evolution of agents with different abilities, a number of design choices such as asexual, sexual and sexual with mating selection reproduction models as well as the emergence of social behaviours. This environment will then be applied on a number of tests to determine "if" and "under what conditions" do capabilities such as emotions, imagination and ultimately creativity provide an evolutionary advantage.
Plano de Trabalhos - Semestre 1
Step 1 - Revision of the Bibliography .
Step 2 - Determining the techniques to use and develop
Step 3 - Proof of concept and prototype development
Step 4 - Thesis and work plan proposal
Plano de Trabalhos - Semestre 2
Step 5 - Development of the platform adequate for the research plan of the proposal.
Fase 6 - Experimentation and Analysis.
Fase 7 - Writing of the Thesis.
Fase 8 - Scientific paper.
Condições
Strong skills in programming.
Will to communicate in English with other researchers is also important.
Other interesting skills include Complex Systems and Artificial Intelligence
Orientador
Penousal Machado
machado@dei.uc.pt 📩