http://popups.lib.uliege.be/1373-5411/index.php?id=2372 Index terms fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=2368 Synergy can be seen as energy liberation by systems integration, as seen in waves sharing a common 'carrier wave'. This paper studies the synergy in co-authorship, i.e. when authors experience new insights that transcend their individual understanding. Synergy couples four perspectives, each with its own 'language' of description : l) the individual viewpoint, 2) the inter-authors relationship, 3) their inner-inter-action dynamics, and 4) new meaning in the joint context. Synergising is an art. The outcomes are the unpredictable consequences of personal involvement in the process. Process integrity determines the quality of the result. It is maintained by the authors managing their feelings to regulate their input in line with what is felt to be the common intent. Thu, 01 Aug 2024 15:39:08 +0200 Thu, 10 Oct 2024 16:48:07 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2368 http://popups.lib.uliege.be/1373-5411/index.php?id=2605 This paper describes an approach to generate a sequence requiring an unrealizable function by programs, such as a flash that is required especially in creative activity of a human. We have already proposed a recurrent neural network that demonstrates a generation of several creative sequences, but convergency and stability problems occur. On the other hand, it is known in biological experiments where the chaotic sequences can be observed from brain waves. The neural network constructed from chaotic neurons has nonlinear dynamics, but there remains the difficulty of training method. We propose an evolutional methodology to train a chaotic neural network, and introduce Darwinism for its evolving process. To determine their most suitable structure and the weights of connection, we use AIC for the fitness value. Thu, 29 Aug 2024 15:07:30 +0200 Tue, 08 Oct 2024 14:04:11 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2605