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Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International ( CC BY 4.0 ) .

AAAI-MAKE 2022
Machine Learning and Knowledge Engineering for Hybrid Intelligence 2022

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022)

Stanford University, Palo Alto, California, USA, March 21-23, 2022 .

Edited by

Andreas Martin *
Knut Hinkelmann *
Hans-Georg Fill
Aurona Gerber *
Doug Lenat **
Reinhard Stolle *
Frank van Harmelen ****

* FHNW University of Applied Sciences and Arts Northwestern Switzerland , School of Business, Olten, Switzerland
** University of Fribourg , Department of Informatics, Fribourg, Switzerland
*** University of Pretoria , Department of Informatics, Pretoria, South Africa
**** Cycorp Inc. , Austin, TX, USA
***** Argo AI GmbH , München, Germany
****** VU University , Department of Computer Science, Amsterdam, Netherlands

Table of Contents

AAAI-MAKE 2022: Machine Learning and Knowledge Engineering for Hybrid Intelligence
Andreas Martin , Knut Hinkelmann

Regular Papers

Combining Learning From Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft
Vinicius G. Goecks , Nicholas Waytowich , David Watkins-Valls , Bharat Prakash
Do It Like the Doctor: How We Can Design a Model That Uses Domain Knowledge to Diagnose Pneumothorax
Glen Smith , Qiao Zhang , Christopher J. MacLellan
Neural-Symbolic Reasoning Under Open-World and Closed-World Assumptions
Benedikt Wagner , Artur d’Avila Garcez
Robots With Commonsense: Improving Object Recognition Through Size and Spatial Awareness
Agnese Chiatti , Enrico Motta , Enrico Daga
Using the Strategy Design Pattern for Hybrid AI System Design
Stephan Jüngling , Martin Peraic , Cheng Zhu
Conceptual Edits as Counterfactual Explanations
Giorgos Filandrianos , Konstantinos Thomas , Edmund Dervakos , Giorgos Stamou
Combining Machine Learning With Human Knowledge for Delivery Time Estimations
Markus Lochbrunner , Hans Friedrich Witschel
ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AI
Wolfgang Maass , Arturo Castellanos , Monica Chiarini Tremblay , Roman Lukyanenko , Veda C. Storey
KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema Challenge
Suk Joon Hong , Brandon Bennett , Judith Clymo , Lucía Gómez Álvarez
Learning Rules With Attributes and Relations in Knowledge Graphs
Pouya Ghiasnezhad Omran , Zhe Wang , Kewen Wang
A Framework for Context-Dependent Augmented Reality Applications Using Machine Learning and Ontological Reasoning
Fabian Muff , Hans-Georg Fill
Adjoined Networks: A Training Paradigm With Applications to Network Compression
Utkarsh Nath , Shrinu Kushagra , Yingzhen Yang
A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery
Ryan Prater , Emanuele Laurenzi
SFMGNet: A Physics-Based Neural Network To Predict Pedestrian Trajectories
Sakif Hossain , Fatema T. Johora , Jörg P. Müller , Sven Hartmann , Andreas Reinhardt
Agent Smith: Machine Teaching for Building Question Answering Agents
Ashok Goel , Harshvardhan Sikka , Eric Gregori
The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case
Maaike H.T. de Boer , Steven Vethman , Roos M. Bakker , Ajaya Adhikari , Michiel Marcus , Joachim de Greeff , Jasper van der Waa , Tjeerd A. J. Schoonderwoerd , Ioannis Tolios , Emma M. van Zoelen , Fieke Hillerström , Bart Kamphorst
Hybrid AI System Delivering Highly Targeted News to Business Professionals
Anupriya Ankolekar , David Brunner
Machine Learning on Simulated and Real Farm Data Based on an Ontology-Controlled Data Infrastructure
Alexander Muenzberg , Christian Troost , Daniel Martini , Francisco Mendoza , Rajiv Srivastava , Thomas Berger , Liv Seuring , Nils Reinosch , Thilo Streck , Ansgar Bernardi
Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image Analysis
Kazuki Uehara , Wataru Uegami , Hirokazu Nosato , Masahiro Murakawa , Junya Fukuoka , Hidenori Sakanashi
Extracting Knowledge With Constructivist Machine Learning: Conceptual and Procedural Models
Thomas Schmid , Florian Grosse
Collusion Detection in Team-Based Multiplayer Games
Laura Greige , Fernando De Mesentier Silva , Meredith Trotter , Chris Lawrence , Peter Chin , Dilip Varadarajan

Short Papers

Contrastive Visual and Language Translational Embeddings for Visual Relationship Detection
Thanh Tran , Paulo E. Santos , David Powers
Potential Energy to Improve Link Prediction With Relational Graph Neural Networks
Simone Colombo , Dimitrios Alivanistos , Michael Cochez
CalBERT – Code-Mixed Adaptive Language Representations Using BERT
Aditeya Baral , Ansh Sarkar , Deeksha D , Ashwini M Joshi
Actionable Recommendations for Small Businesses With Hybrid AI
Sudhir Agarwal , Lalla Mouatadid , Anu Sreepathy , Kevin Furbish , Morgen Kimbrell , Mike Gabriel
Decision Transformers for Glut Control in the Active Logic Machine
Justin D. Brody , Donald Perlis
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions
Maëlic Neau , Paulo Santos , Anne-Gwenn Bosser , Nathan Beu , Cédric Buche
SemOI2 – Building Adaptive and Cost-Effective Recognition Applications With Semantic Augmentation
Achim Reiz , Birger Lantow , Kurt Sandkuhl

2022-03-14: submitted by Andreas Martin, metadata incl. bibliographic data published under Creative Commons CC0
2022-04-14 : published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) | valid HTML5 |