| 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|