Hugo Humberto Plácido da Silva; Hugo Filipe Silveira Gamboa; Rui Pedro Sousa Varandas; Guilherme dos Santos Espadanal Ramos Springer (2024) Pehmeäkantinen kirja
Augusta da Conceição Santos Ferreira; Graça Maria do Carmo Azevedo; Jonas da Silva Oliveira; Rui Pedro Figueiredo Marques Idea Group,U.S. (2016) Kovakantinen kirja
Vitor de Cinque Almeida; Katlin Ivon Barrios Eguiluz; Giancarlo Richard Salazar Banda; Taís Larissa da Silva; Jiménez Pachec Springer International Publishing AG (2025) Kovakantinen kirja
Andreas Kuckertz; Thomas Leicht; Maximilian Scheu; Indra da Silva Wagner; Bernd Ebersberger Springer International Publishing AG (2024) Pehmeäkantinen kirja
Carlos da Silva; Doyle Baker; Andrew Shepherd; Chakib Jenane; Sérgio Miranda-da-Cruz Food and Agriculture Organization of the United Nations (FAO) (2009) Kovakantinen kirja
Neusely da Silva; Marta Hirotomi Taniwaki; Valeria Christina Junqueira; Neliane Silveira; Maristela da Silva do Nascimento Taylor & Francis Ltd (2012) Pehmeäkantinen kirja
Ulrich Rössler; Euzi da Silva; Tomasz Dietl; Jürgen Gutowski; Bernd Hönerlage; Fumihiro Matsukura; Bruno K. Meyer; Strauc Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2011) Kovakantinen kirja
The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Eleventh Annual Meeting of the BICA Society, held on November 10-14, 2020, in Natal, Brazil, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
