A Multi-Context System Computing Modalities. - Tarek Richard Besold; Bernhard Schiemann (Description Logics, 2010)

Integrating Logical and Sub-symbolic Contexts of Reasoning. - Tarek R. Besold; Stefan Mandl (ICAART (1), 2010)

Theory and Implementation of Multi-Context Systems Containing Logical and Sub-Symbolic Contexts of Reasoning. - Tarek R. Besold (Informatiktage, 2010)

Towards a Domain-Independent Computational Framework for Theory Blending. - Maricarmen Martínez; Tarek R. Besold; Ahmed Mohammed Hassan Abdel-Fattah; Kai-Uwe Kühnberger; Helmar Gust; Martin Schmidt 002; Ulf Krumnack (AAAI Fall Symposium: Advances in Cognitive Systems, 2011)

Turing Revisited: A Cognitively-Inspired Decomposition. - Tarek Richard Besold (PT-AI, 2011)

Creativity, Cognitive Mechanisms, and Logic. - Ahmed M. H. Abdel-Fattah; Tarek R. Besold; Kai-Uwe Kühnberger (AGI, 2012)

Complex Analogies: Remarks on the Complexity of HDTP. - Robert Robere; Tarek Richard Besold (Australasian Conference on Artificial Intelligence, 2012)

Rationality-Guided AGI as Cognitive Systems. - Ahmed M. H. Abdel-Fattah; Tarek Richard Besold; Helmar Gust; Ulf Krumnack; Martin Schmidt 002; Kai-Uwe Kühnberger; Pei Wang (CogSci, 2012)

E Pluribus Multa In Unum: The Rationality Multiverse. - Tarek Richard Besold; Kai-Uwe Kühnberger (CogSci, 2012)

Analogy Engines in Classroom Teaching: Modeling the String Circuit Analogy. - Tarek Richard Besold (AAAI Spring Symposium: Creativity and (Early) Cognitive Development, 2013)

Human-Level Artificial Intelligence Must Be a Science. - Tarek Richard Besold (AGI, 2013)

When Almost Is Not Even Close: Remarks on the Approximability of HDTP. - Tarek Richard Besold; Robert Robere (AGI, 2013)

A Note on Tractability and Artificial Intelligence. - Tarek Richard Besold; Robert Robere (AGI, 2013)

Analogy and Arithmetics: An HDTP-Based Model of the Calculation Circular Staircase. - Tarek Richard Besold; Alison Pease; Martin Schmidt 002 (CogSci, 2013)

Rationality in Context: An Analogical Perspective. - Tarek Richard Besold (CONTEXT, 2013)

When Thinking Never Comes to a Halt: Using Formal Methods in Making Sure Your AI Gets the Job Done Good Enough. - Tarek R. Besold; Robert Robere (PT-AI, 2013)

Sketch Learning by Analogy. - Ulf Krumnack; Angela Schwering; Kai-Uwe Kühnberger; Helmar Gust; Ahmed M. H. Abdel-Fattah; Tarek R. Besold; Martin Schmidt 002; Stefan Schneider 002 (SHAPES, 2013)

Sensorimotor Analogies in Learning Abstract Skills and Knowledge: Modeling Analogy-Supported Education in Mathematics and Physics. - Tarek Richard Besold (AAAI Fall Symposia, 2014)

Algorithmic Aspects of Theory Blending. - Maricarmen Martínez; Ulf Krumnack; Alan Smaill; Tarek Richard Besold; Ahmed M. H. Abdel-Fattah; Martin Schmidt 002; Helmar Gust; Kai-Uwe Kühnberger; Markus Guhe; Alison Pease (AISC, 2014)

A Note on Chances and Limitations of Psychometric AI. - Tarek Richard Besold (KI, 2014)

Applying AI for Modeling and Understanding Analogy-Based Classroom Teaching Tools and Techniques. - Tarek Richard Besold; Kai-Uwe Kühnberger (KI, 2014)

On cognitive aspects of human-level artificial intelligence. - Tarek Richard Besold (2014)

Neural-Symbolic Learning and Reasoning: Contributions and Challenges. - Artur S. d'Avila Garcez; Tarek R. Besold; Luc De Raedt; Peter Földiák; Pascal Hitzler; Thomas Icard; Kai-Uwe Kühnberger; Luís C. Lamb; Risto Miikkulainen; Daniel L. Silver (AAAI Spring Symposia, 2015)

Anchoring Knowledge in Interaction: Towards a Harmonic Subsymbolic/Symbolic Framework and Architecture of Computational Cognition. - Tarek Richard Besold; Kai-Uwe Kühnberger; Artur S. d'Avila Garcez; Alessandro Saffiotti; Martin H. Fischer; Alan Bundy (AGI, 2015)

Generalize and Blend: Concept Blending Based on Generalization, Analogy, and Amalgams. - Tarek Richard Besold; Enric Plaza (ICCC, 2015)

Efficient Dodgson-Score Calculation Using Heuristics and Parallel Computing. - Arne Recknagel; Tarek Richard Besold (CoRR, 2015)

Editorial: Computational Creativity, Concept Invention, and General Intelligence. - Tarek Richard Besold; Kai-Uwe Kühnberger; Tony Veale (J. Artif. Gen. Intell., 2015)

Can Machine Intelligence be Measured in the Same Way as Human intelligence? - Tarek R. Besold; José Hernández-Orallo; Ute Schmid (Künstliche Intell., 2015)

An Approach to Supervised Learning of Three-Valued Łukasiewicz Logic in Hölldobler's Core Method. - Frederik Harder; Tarek Richard Besold (AIC, 2016)

How Does Predicate Invention Affect Human Comprehensibility? - Ute Schmid; Christina Zeller; Tarek R. Besold; Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (ILP, 2016)

On Cognitive Aspects of Human-Level Artificial Intelligence. - Tarek R. Besold (Künstliche Intell., 2016)

What Does Explainable AI Really Mean? A New Conceptualization of Perspectives. - Derek Doran; Sarah Schulz; Tarek R. Besold (CEx@AI*IA, 2017)

Theory blending: extended algorithmic aspects and examples. - Maricarmen Martínez; Ahmed M. H. Abdel-Fattah; Ulf Krumnack; Danny Gómez-Ramírez; Alan Smaill; Tarek Richard Besold; Alison Pease; Martin Schmidt 002; Markus Guhe; Kai-Uwe Kühnberger (Ann. Math. Artif. Intell., 2017)

Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams. - Tarek R. Besold; Kai-Uwe Kühnberger; Enric Plaza (Connect. Sci., 2017)

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. - Tarek R. Besold; Artur S. d'Avila Garcez; Sebastian Bader 001; Howard Bowman; Pedro M. Domingos; Pascal Hitzler; Kai-Uwe Kühnberger; Luís C. Lamb; Daniel Lowd; Priscila Machado Vieira Lima; Leo de Penning; Gadi Pinkas; et al. (CoRR, 2017)

Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192). - Tarek R. Besold; Artur S. d'Avila Garcez; Luís C. Lamb (Dagstuhl Reports, 2017)

Towards Efficiently Implementing Dodgson's Formally Intractable Voting Rule. - Arne Recknagel; Tarek R. Besold (Künstliche Intell., 2017)

Reasoning in Non-probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples. - Tarek R. Besold; Artur S. d'Avila Garcez; Keith Stenning; Leendert W. N. van der Torre; Michiel van Lambalgen (Minds Mach., 2017)

Enabling Technologies for Concept Invention. - Roberto Confalonieri 001; Tarek R. Besold; Mihai Codescu; Manfred Eppe (Concept Invention, 2018)

The Relationship Between Conceptual Blending and Analogical Reasoning. - Tarek R. Besold (Concept Invention, 2018)

Learning Łukasiewicz logic. - Frederik Harder; Tarek R. Besold (Cogn. Syst. Res., 2018)

The What, the Why, and the How of Artificial Explanations in Automated Decision-Making. - Tarek R. Besold; Sara L. Uckelman (CoRR, 2018)

Normative and descriptive rationality: from nature to artifice and back. - Tarek Richard Besold; Sara L. Uckelman (J. Exp. Theor. Artif. Intell., 2018)

Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP. - Stephen H. Muggleton; Ute Schmid; Christina Zeller; Alireza Tamaddoni-Nezhad; Tarek R. Besold (Mach. Learn., 2018)

Artificial Phenomenology for Human-Level Artificial Intelligence. - Lorijn Zaadnoordijk; Tarek R. Besold (AAAI Spring Symposium: Towards Conscious AI Systems, 2019)

What makes a good explanation? Cognitive dimensions of explaining intelligent machines. - Roberto Confalonieri 001; Tarek R. Besold; Tillman Weyde; Kathleen Creel; Tania Lombrozo; Shane T. Mueller; Patrick Shafto (CogSci, 2019)

An Ontology-based Approach to Explaining Artificial Neural Networks. - Roberto Confalonieri 001; Fermín Moscoso del Prado; Sebastia Agramunt; Daniel Malagarriga; Daniele Faggion; Tillman Weyde; Tarek R. Besold (CoRR, 2019)

Computational Creativity Meets Digital Literary Studies (Dagstuhl Seminar 19172). - Tarek Richard Besold; Pablo Gervás; Evelyn Gius; Sarah Schulz (Dagstuhl Reports, 2019)

Editorial. - Artur S. d'Avila Garcez; Tarek R. Besold (FLAP, 2019)

TREPAN Reloaded: A Knowledge-Driven Approach to Explaining Black-Box Models. - Roberto Confalonieri 001; Tillman Weyde; Tarek R. Besold; Fermín Moscoso del Prado Martín (ECAI, 2020)

The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning. - Lorijn Zaadnoordijk; Tarek R. Besold; Rhodri Cusack (CoRR, 2020)

Using Ontologies for Human-understandable Explanations of Black-box Models (Extended Abstract). - Roberto Confalonieri 001; Tillman Weyde; Tarek R. Besold; Fermín Moscoso del Prado Martín (DAO-XAI, 2021)

Using ontologies to enhance human understandability of global post-hoc explanations of black-box models. - Roberto Confalonieri 001; Tillman Weyde; Tarek R. Besold; Fermín Moscoso del Prado Martín (Artif. Intell., 2021)

Feeling Functional: A Formal Account of Artificial Phenomenology. - Tarek R. Besold; Lorijn Zaadnoordijk; David Vernon (J. Artif. Intell. Conscious., 2021)

A historical perspective of explainable Artificial Intelligence. - Roberto Confalonieri 001; Ludovik Coba; Benedikt Wagner; Tarek R. Besold (WIREs Data Mining Knowl. Discov., 2021)

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. - Tarek R. Besold; Artur S. d'Avila Garcez; Sebastian Bader 001; Howard Bowman; Pedro M. Domingos; Pascal Hitzler; Kai-Uwe Kühnberger; Luís C. Lamb; Priscila Machado Vieira Lima; Leo de Penning; Gadi Pinkas; Hoifung Poon; et al. (Neuro-Symbolic Artificial Intelligence, 2021)

"Why do so?" - A Practical Perspective on Machine Learning Security. - Kathrin Grosse; Lukas Bieringer; Tarek Richard Besold; Battista Biggio; Katharina Krombholz (CoRR, 2022)

Lessons from infant learning for unsupervised machine learning. - Lorijn Zaadnoordijk; Tarek R. Besold; Rhodri Cusack (Nat. Mach. Intell., 2022)

Recipe 2.0: Information Presentation for AI-Supported Culinary Idea Generation. - Angel Hsing-Chi Hwang; Samy Badreddine; Frederick Gifford; Tarek R. Besold (ICCC, 2023)

From the kitchen into the wild: Chances and challenges for data-driven AI in 21st century gastronomy. - Tarek R. Besold (ICDEW, 2023)

What's Wrong with Gradient-based Complex Query Answering? - Ouns El Harzli; Samy Badreddine; Tarek R. Besold (NeSy, 2023)

Machine Learning Security in Industry: A Quantitative Survey. - Kathrin Grosse; Lukas Bieringer; Tarek R. Besold; Battista Biggio; Katharina Krombholz (IEEE Trans. Inf. Forensics Secur., 2023)

When Your AI Becomes a Target: AI Security Incidents and Best Practices. - Kathrin Grosse; Lukas Bieringer; Tarek R. Besold; Battista Biggio; Alexandre Alahi (AAAI, 2024)

Towards More Practical Threat Models in Artificial Intelligence Security. - Kathrin Grosse; Lukas Bieringer; Tarek R. Besold; Alexandre Alahi (USENIX Security Symposium, 2024)

From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures. - Christoph Wehner; Chrysa Iliopoulou; Tarek R. Besold (CoRR, 2024)

Link prediction for hypothesis generation: an active curriculum learning infused temporal graph-based approach. - Uchenna Akujuobi; Priyadarshini Kumari; Jihun Choi; Samy Badreddine; Kana Maruyama; Sucheendra K. Palaniappan; Tarek R. Besold (Artif. Intell. Rev., 2024)

Revisiting named entity recognition in food computing: enhancing performance and robustness. - Uchenna Akujuobi; Shuhong Liu; Tarek R. Besold (Artif. Intell. Rev., 2024)

Unifying Post-hoc Explanations of Knowledge Graph Completions. - Alessandro Lonardi; Samy Badreddine; Tarek R. Besold; Pablo Sanchez Martin (CoRR, 2025)