Table Of ContentPatrick Hammer
Pulin Agrawal
Ben Goertzel
Matthew Iklé (Eds.)
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5 Artificial
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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
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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
