GCAI-2018: Volume InformationGCAI-2018. 4th Global Conference on Artificial Intelligence19 articles•255 pages•Published: September 17, 2018 PapersFranz Baader, Oliver Fernandez Gil and Maximilian Pensel 1-14 | Sagi Bazinin and Guy Shani 15-28 | Hector Ceballos and Francisco Cantu 29-40 | Jieying Chen, Michel Ludwig and Dirk Walther 41-53 | Andrea Dittadi, Thomas Bolander and Ole Winther 54-67 | Zeyu Feng, Chang Xu and Dacheng Tao 68-80 | Ghulam Mubashar Hassan and Mark Reynolds 81-92 | Nicos Isaak and Loizos Michael 93-106 | Nicos Isaak and Loizos Michael 107-120 | Max Korein and Manuela Veloso 121-133 | Nardine Osman and Carles Sierra 134-147 | Sai Prabhakar Pandi Selvaraj, Manuela Veloso and Stephanie Rosenthal 148-161 | Sai Prabhakar Pandi Selvaraj, Manuela Veloso and Stephanie Rosenthal 162-175 | Vittorio Perera and Manuela Veloso 176-187 | Marcelo Prates, Pedro Avelar and Luis Lamb 188-201 | Steven Prestwich, Roberto Rossi, S. Armagan Tarim and Andrea Visentin 202-214 | Tom Gonda, Tal Pascal, Rami Puzis, Guy Shani and Bracha Shapira 215-228 | Rui Silva, Francisco S. Melo and Manuela Veloso 229-242 | Richard Wallace 243-255 |
KeyphrasesAgreement Technologies, Artificial Intelligence, attack graph, Automated Planning, Bayesian networks, bilevel optimisation, Business Process Diagrams, CAPTCHAs, causality, common sense reasoning, Constraint Programming, constraint satisfaction, Constraints and uncertainty, contingent planning, coreference resolution2, critical complexity region, Cyber Security, Decision Tree, deep learning, Dependable Robots, Description Logic, Description Logics2, difference, distributed planning, dynamic programming, ethics, ethics and AI, evolutionary algorithm, Experimental Methodology/Replicability, Explainable AI, FL0, Gradient Boosting Machine, Historical Gradient, human-robot interaction2, interpretability2, Iron ore railway network, Knowledge-based Learning, knowledge representation, Language and Vision, learning from raw data, least common subsumer, logical difference, machine bias, machine learning, Markov Decision Processes, mobile service robots, multi-agent planning, multi-armed bandit, Natural Language Processing, network interdiction, neural networks, NLP Applications and Tools, normative systems, Ontology modularity, Pentesting, planning graph, Planning under uncertainty2, POMDPs, Probabilistic Planning, Real-time optimisation, replaceability, responsible technologies, robot learning, robot planning, Sequential Decision Making, service robot, state space search, Substitutability, subsumption, transition model learning, tree automata, Winograd Schema Challenge2, WSC as a CAPTCHA, WSC Sentence Hardness. |
|