The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. Articles published in JAIR must meet the highest quality standards as measured by originality and significance of the contribution. International Journal of Artificial Intelligence™, and Machine Learning Tools, Heuristic and AI Planning Strategies and Tools, Computational Theories of Learning; Signal, Image & Speech Processing; Intelligent System Architectures; Knowledge Representation; Bioinformatics; Natural Language Processing; Mathematics & Physics. International Journal of Artificial Intelligence. The papers included in the sample were published in 104 different journals. International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI) This interdisciplinary journal aims to increase knowledge and understanding of ways in which learning analytics (LA) and artificial intelligence (AI) can support and enhance education. Journal of Artificial Intelligence and Soft Computing Research (available also at Sciendo (De Gruyter)) is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. Application of Neural nets After the creation of perceptron by Frank Rosenblatt in 1957 Neural nets history starts – an artificial neuron is considered as important components of neural nets . International Journal of Artificial Intelligence in Education. The Journal of Artificial Intelligence Research (JAIR) is dedicated to the rapid dissemination of important research results to the global artificial intelligence (AI) community. The International Journal of Artificial Intelligence in Education (IJAIED) is the official journal of the International AIED Society. The. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of intelligence … The main aim of the International Journal of Artificial Intelligence™ (ISSN 0974-0635) is to publish refereed, well-written original research articles, and studies that describe the latest research and developments in the area of Artificial Intelligence. IJAIM is concerned with the concepts and techniques of Engineering and artificial intelligence needed for the design of … 181. The journal’s scope encompasses all areas of AI, including agents and multi-agent systems, automated reasoning, constraint processing and search, knowledge representation, machine learning, natural language, planning and scheduling, robotics and vision, and uncertainty in AI. Country: India - 22. FAQ | Mailing List | Donate to JAIR | Follow us on Twitter© Copyright 1993-2017 AI Access Foundation, Inc. Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael Owen, Mykel J. Kochenderfer, Artem Kaznatcheev, David Cohen, Peter Jeavons, Marco Garapa, Eduardo Fermé, Maurício Reis, Chiara Del Vescovo, Matthew Horridge, Bijan Parsia, Uli Sattler, Thomas Schneider, Haoruo Zhao, The Anh Han, Luis Moniz Pereira, Francisco C. Santos, Tom Lenaerts, Marco Amoruso, Daniele Anello, Vincenzo Auletta, Raffaele Cerulli, Diodato Ferraioli, Andrea Raiconi, Joseph Bullock, Alexandra Luccioni, Katherine Hoffman Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz, Senka Krivic, Michael Cashmore, Daniele Magazzeni, Sandor Szedmak, Justus Piater, Ulle Endriss, Ronald de Haan, Jérôme Lang, Marija Slavkovik, Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau, Yoshua Bengio, Vitor Bosshard, Benedikt Bünz, Benjamin Lubin, Sven Seuken, Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi, Jacopo Banfi, Vikram Shree, Mark Campbell, Siddharth Gupta, Guy Sa'ar, Meirav Zehavi, Mucahid Kutlu, Tyler McDonnell, Tamer Elsayed, Matthew Lease, Paul Goldberg, Alexandros Hollender, Warut Suksompong, Theofanis Aravanis, Pavlos Peppas, Mary-Anne Williams, Pavlos Vougiouklis, Eddy Maddalena, Jonathon Hare, Elena Simperl, Deep Learning, Knowledge Representation and Reasoning, Cross-Language Algorithms and Applications, Lifted Bayesian Filtering in Multiset Rewriting Systems, Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning, A Differential Privacy Mechanism that Accounts for Network Effects for Crowdsourcing Systems, Epistemic Argumentation Framework: Theory and Computation, Representing Fitness Landscapes by Valued Constraints to Understand the Complexity of Local Search, Credibility-limited Base Revision: New Classes and Their Characterizations, Modular Structures and Atomic Decomposition in Ontologies, Qualitative Numeric Planning: Reductions and Complexity, To Regulate or Not: A Social Dynamics Analysis of an Idealised AI Race, Contrasting the Spread of Misinformation in Online Social Networks, Mapping the landscape of Artificial Intelligence applications against COVID-19, Using Machine Learning for Decreasing State Uncertainty in Planning, Structure from Randomness in Halfspace Learning with the Zero-One Loss, The Complexity Landscape of Outcome Determination in Judgment Aggregation, Belief change and 3-valued logics: Characterization of 19,683 belief change operators, The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach, Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification, Properties of Switch-List Representations of Boolean Functions, The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation, AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms, Planning High-Level Paths in Hostile, Dynamic, and Uncertain Environments, Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction, The Parameterized Complexity of Motion Planning for Snake-Like Robots, Annotator Rationales for Labeling Tasks in Crowdsourcing, Contiguous Cake Cutting: Hardness Results and Approximation Algorithms, Incompatibilities Between Iterated and Relevance-Sensitive Belief Revision, On Sparse Discretization for Graphical Games, Constraint and Satisfiability Reasoning for Graph Coloring, Point at the Triple: Generation of Text Summaries from Knowledge Base Triples. 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