TY - BOOK AU - Oliveira,Eugénio AU - Gama,João AU - Vale,Zita AU - Lopes Cardoso,Henrique ED - SpringerLink (Online service) TI - Progress in Artificial Intelligence: 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Porto, Portugal, September 5-8, 2017, Proceedings T2 - Lecture Notes in Artificial Intelligence SN - 9783319653402 AV - Q334-342 U1 - 006.3 23 PY - 2017/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Artificial intelligence KW - Algorithms KW - Computers KW - Special purpose computers KW - Software engineering KW - Application software KW - Artificial Intelligence KW - Algorithm Analysis and Problem Complexity KW - Information Systems and Communication Service KW - Special Purpose and Application-Based Systems KW - Software Engineering/Programming and Operating Systems KW - Computer Appl. in Social and Behavioral Sciences N2 - This book constitutes the refereed proceedings of the 18th EPIA Conference on Artificial Intelligence, EPIA 2017, held in Porto, Portugal, in September 2017. The 69 revised full papers and 2 short papers presented were carefully reviewed and selected from a total of 177 submissions. The papers are organized in 16 tracks devoted to the following topics: agent-based modelling for criminological research (ABM4Crime), artificial intelligence in cyber-physical and distributed embedded systems (AICPDES), artificial intelligence in games (AIG), artificial intelligence in medicine (AIM), artificial intelligence in power and energy systems (AIPES), artificial intelligence in transportation systems (AITS), artificial life and evolutionary algorithms (ALEA), ambient intelligence and affective environments (AmIA), business applications of artificial intelligence (BAAI), intelligent robotics (IROBOT), knowledge discovery and business intelligence (KDBI), knowledge representation and reasoning (KRR), multi-agent systems: theory and applications (MASTA), software engineering for autonomous and intelligent systems (SE4AIS), social simulation and modelling (SSM), and text mining and applications (TeMA) UR - https://doi.org/10.1007/978-3-319-65340-2 ER -