I was really fascinated by this issue. Quality Diversity is a very important and interesting concept, which in my opinion has implications for different ways of thinking and evaluating things. First of all, the ability to find several good solutions and not focus on one could be an increasingly sought-after skill in organizations - and reading the issue it's not difficult to understand why. Secondly, it made me think - in a very personal and intuitive way - about the great theme of interdisciplinarity that is emerging in the research and development of AI tools. Finally, I think that the analysis of factors and situations is also an approach to apply in cases of very high complexity. It would be interesting to put it in relation to complexity (I'm thinking of a graph for example) to understand when an approach - not only in Computer Science - oriented towards multiple solutions or a 'strong' solution could be preferable. Thanks for sharing.
I was really fascinated by this issue. Quality Diversity is a very important and interesting concept, which in my opinion has implications for different ways of thinking and evaluating things. First of all, the ability to find several good solutions and not focus on one could be an increasingly sought-after skill in organizations - and reading the issue it's not difficult to understand why. Secondly, it made me think - in a very personal and intuitive way - about the great theme of interdisciplinarity that is emerging in the research and development of AI tools. Finally, I think that the analysis of factors and situations is also an approach to apply in cases of very high complexity. It would be interesting to put it in relation to complexity (I'm thinking of a graph for example) to understand when an approach - not only in Computer Science - oriented towards multiple solutions or a 'strong' solution could be preferable. Thanks for sharing.