Vol-3121
urn:nbn:de:0074-3121-9

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|