By Juan Julián Merelo, Agostinho Rosa, José M. Cadenas, António Dourado Correia, Kurosh Madani, António Ruano, Joaquim Filipe
This publication features a collection of revised and prolonged models of the simplest papers from the 7th overseas Joint convention on Computational Intelligence (IJCCI 2015), held in Lisbon, Portugal, from 12 to fourteen November 2015, which was once composed of 3 co-located meetings: The overseas convention on Evolutionary Computation conception and functions (ECTA), the foreign convention on Fuzzy Computation thought and purposes (FCTA), and the foreign convention on Neural Computation conception and functions (NCTA). The e-book provides contemporary advances in medical advancements and purposes in those 3 components, reflecting the IJCCI’s dedication to top quality standards.
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Extra info for Computational Intelligence: International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers
Num. of CMRs CA with 8 cell states CA with 10 cell states Success rate Replicates Min. Min. Success Replicates Min. Min. [%] repeatedly steps rules rate repeatedly steps rules 20 0 - - - 2 0 - - 30 9 5 18 134 9 3 17 120 40 7 6 17 123 9 4 17 134 50 8 4 18 157 12 7 17 219 independent replicas increases the overall complexity of this task, the maximum success rate achieved does not exceed 12 %. Despite this fact, the evolution provided some solutions that perfectly fulﬁl the target speciﬁcation and, in addition, also exhibit the capability of the seed-based development which was not explicitly required.
Nevertheless, as the results showed, some transition functions are able to create the loops from a seed which was not explicitly required within the ﬁtness evaluation. g. Byl’s loop) with the exact shape and arrangement of the replicas. g. Byl’s loop exhibits such feature). However, only static replicas were considered in our experiments. Another aspect may be the size of the loop. g. Langton’s loop needs 151 steps), which makes the evaluation of such solutions very time-consuming. e. the CA development) which is speciﬁc for the given loop.
In: AAAI (2016) 32. : Towards a video game description language (2013) 33. : A video game description language for model-based or interactive learning. In: Proceedings of the IEEE Conference on Computational Intelligence in Games, Niagara Falls. IEEE Press (2013) 34. : Evolutionary game design. IEEE Trans. Comput. Intell. AI Games 2, 1–16 (2010) 35. : Towards automated game design. In: Procedings of the 10th Congress of the Italian Association for Artiﬁcial Intelligence (2007) 36. : An experiment in automatic game design.
Computational Intelligence: International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers by Juan Julián Merelo, Agostinho Rosa, José M. Cadenas, António Dourado Correia, Kurosh Madani, António Ruano, Joaquim Filipe