Artificial General Intelligence: 12th International Conference, AGI 2019, Shenzhen, China, August 6–9, 2019, Proceedings PDF
Preview Artificial General Intelligence: 12th International Conference, AGI 2019, Shenzhen, China, August 6–9, 2019, Proceedings
Patrick Hammer Pulin Agrawal Ben Goertzel Matthew Iklé (Eds.) 4 5 Artificial 6 1 1 I General Intelligence A N L 12th International Conference, AGI 2019 Shenzhen, China, August 6–9, 2019 Proceedings 123 fi Lecture Notes in Arti cial Intelligence 11654 Subseries of Lecture Notes in Computer Science Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany More information about this series at http://www.springer.com/series/1244 Patrick Hammer Pulin Agrawal (cid:129) (cid:129) é Ben Goertzel Matthew Ikl (Eds.) (cid:129) fi Arti cial General Intelligence 12th International Conference, AGI 2019 – Shenzhen, China, August 6 9, 2019 Proceedings 123 Editors Patrick Hammer Pulin Agrawal TempleUniversity University of Memphis Philadelphia, PA,USA Memphis,TN, USA BenGoertzel MatthewIklé SingularityNET SingularityNET TaiPo, HongKong,China Alamosa, CO,USA ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notesin Artificial Intelligence ISBN 978-3-030-27004-9 ISBN978-3-030-27005-6 (eBook) https://doi.org/10.1007/978-3-030-27005-6 LNCSSublibrary:SL7–ArtificialIntelligence ©SpringerNatureSwitzerlandAG2019 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface This volume contains the papers presented at the 12th Conference on Artificial Intelligence (AGI 2019), held during August 6–9, 2019, in Shenzhen, China. In addition to co-locating with the International Joint Conferences in Artificial General Intelligence (IJCAI 2019) held in nearby Macau, the Shenzhen location was designed tospurenhancedengagementanddiscussionbetweenresearchersfromEuropeandthe Americas with the burgeoning Chinese research community. Building upon the palpable energy apparent during the 2018 joint Human Level Artificial Intelligence (HLAI 2018) conference, of which the Artificial General Intelligence (AGI 2018) conference was a part, AGI 2019 brought together researchers from at least 14 coun- tries from around the globe, resulting in a robust set of stimulating, diverse, and extremely deep discussions. Transfer learning, one-shot learning, meta-learning, causality, and unsupervised natural language processing are all becoming increasingly common topics in AGI research. Recent breakthroughs in hybrid neuro-symbolic systems are beginning to produce better results than more specialized sub-symbolic deep neural networks or reinforcement learning alone. In addition, new AI platforms are being developed to take advantage of blockchain technologies. This volume contains the contributed talks presented at AGI 2019. There were 30 submissions.Eachsubmissionwasreviewedbyatleastthree(onaverage3.0)Program Committee members. The committee decided to accept 16 long papers (53% accep- tance)fororalpresentation,and5papersforposterpresentation.Onceagainthetopics covered proved to be very diverse. There are papers covering AGI architectures, papers discussing mathematical and philosophicalfoundationsanddetails,papersdevelopingideasfromneuro-scienceand cognitive science, papers on emotional modeling, papers discussing safety and ethics, and a host of other papers covering a wide-ranging array of additional relevant topics. Keynote speeches were shared by the participating organizations, and were presented by researchers from both academia and industry including such experts as Hugo Latapie (Cisco), Zhongzhi Shi (Institute of Computing Technology, Chinese AcademyofSciences), HarriValpola,(CuriousAI),WeiXu,(HorizonRobotics),and Yi Zeng (Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences). In addition, the AGI 2019 conference featured tutorials and workshops on the Non-Axiomatic Reasoning System (NARS) and on the OpenCog system. We thank all the Program Committee members for their dedicated service to the review process. We thank all of our contributors, participants, and tutorial, workshop and panel session organizers, without whom the conference would not exist. vi Preface Finally,wethankoursponsors:theArtificialGeneralIntelligenceSociety,Springer Nature Publishing, SingularityNET, Hanson Robotics, and OpenCog Foundation. June 2019 Patrick Hammer Pulin Agrawal Ben Goertzel Matthew Iklé Organization Program Committee Pulin Agrawal The University of Memphis, USA Joscha Bach AI Foundation, USA Tarek Richard Besold Alpha Health AI Lab, Telefonica Innovation Alpha, USA Jordi Bieger Reykjavik University, Delft University of Technology, The Netherlands Cristiano Castelfranchi Institute of Cognitive Sciences and Technologies, Italy Antonio Chella Universià di Palermo, Italy Arthur Franz Odessa Competence Center for Artificial Intelligence and Machine Learning (OCCAM), Ukraine Nil Geisweiller OpenCog Foundation, SingularityNet Foundation, Novamente LLC, France Benjamin Goertzel OpenCog Foundation, SingularityNET Foundation, Hanson Robotics, China Patrick Hammer Temple University, USA Jose Hernandez-Orallo Universitat Poliècnica de València, Spain Matt Iklé SingularityNET Foundation, USA Peter Isaev Temple University, USA Garrett Katz University of Maryland, USA Anton Kolonin SingularityNET Foundation Francesco Lanza Dipartimento di Ingegneria - Università degli Studi di Palermo, Italy Xiang Li Temple University, USA Tony Lofthouse Evolving Solutions, USA Amedeo Napoli LORIANancy(CNRS-Inria-UniversitédeLorraine), France Eray Ozkural Bilkent University, Turkey Maxim Peterson ITMO University, Russia Alexey Potapov SingularityNET Foundation, AIDEUS Nico Potyka Universitaet Osnabrück, IKW, Germany Paul S. Rosenbloom University of Southern California, USA Rafal Rzepka Hokkaido University, Japan Oleg Scherbakov ITMO University, Russia Ute Schmid Faculty Information Systems and Applied Computer Science, University of Bamberg, Germany Javier Snaider Google, USA Bas Steunebrink NNAISENSE, Switzerland Kristinn R. Thorisson CADIA, Reykjavik University, Iceland viii Organization Mario Verdicchio Università degli Studi di Bergamo, Italy Pei Wang Temple University, USA Robert Wünsche TU Dresden, Germany Roman Yampolskiy University of Louisville, USA Byoung-Tak Zhang Seoul National University, South Korea Contents AGI Brain: A Learning and Decision Making Framework for Artificial General Intelligence Systems Based on Modern Control Theory . . . . . . . . . . 1 Mohammadreza Alidoust Augmented Utilitarianism for AGI Safety. . . . . . . . . . . . . . . . . . . . . . . . . . 11 Nadisha-Marie Aliman and Leon Kester Orthogonality-Based Disentanglement of Responsibilities for Ethical Intelligent Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Nadisha-Marie Aliman, Leon Kester, Peter Werkhoven, and Roman Yampolskiy Extending MicroPsi’s Model of Motivation and Emotion for Conversational Agents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Joscha Bach, Murilo Coutinho, and Liza Lichtinger WILLIAM: A Monolithic Approach to AGI. . . . . . . . . . . . . . . . . . . . . . . . 44 Arthur Franz, Victoria Gogulya, and Michael Löffler An Inferential Approach to Mining Surprising Patterns in Hypergraphs . . . . . 59 Nil Geisweiller and Ben Goertzel Toward Mapping the Paths to AGI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 Ross Gruetzemacher and David Paradice Adaptive Neuro-Symbolic Network Agent . . . . . . . . . . . . . . . . . . . . . . . . . 80 Patrick Hammer AnExperimentalStudyofEmergenceofCommunicationofReinforcement Learning Agents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 Qiong Huang and Doya Kenji Arbitrarily Applicable Relational Responding. . . . . . . . . . . . . . . . . . . . . . . 101 Robert Johansson Programmatic Link Grammar Induction for Unsupervised Language Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111 Alex Glushchenko, Andres Suarez, Anton Kolonin, Ben Goertzel, and Oleg Baskov Mental Actions and Modelling of Reasoning in Semiotic Approach to AGI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 Alexey K. Kovalev and Aleksandr I. Panov
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