Select Publications

Artificial and Human Intelligence

Select publications are thematically grouped for each of the following four categories:

(Computational) Cognitive Vision and Perception

Cognitive Vision / Visual Commonsense. Explainable Reasoning + Learning. Neurosymbolic Models.

  • Suchan, J., Bhatt, M., Monsen, J. (2025). ASP-Driven Visual Commonsense: A General Framework for Reasoning about Embodied Interaction in the Wild. In: KR 2025: 22nd International Conference on Principles of Knowledge Representation and Reasoning, Melbourne, Australia. [PDF, ]
  • Suchan, J., Bhatt, M., Varadarajan, S. (2021). Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics. Artificial Intelligence Journal (AIJ), October 2021, Volume 299. [PDF, DOI, ]
  • Suchan, J., Bhatt, M., and Varadarajan, S. (2019). Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving. IJCAI 2019: the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao. (IJCAI 2019 Distinguished Paper Honourable Mention) [PDF, ]
  • Suchan, J., Bhatt, M., Walega, P. and Schultz, C. (2018). Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning about Moving Objects. In: AAAI 2018 Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, USA, February 2-7, 2018. [PDF, ]
  • Suchan, J., Bhatt, M., Varadarajan, S., Amirshahi, S. A., and Yu, S. (2018). Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability. Advances in Cognitive Systems (ACS), Vol 6: 65–84, 2018. [PDF, ]
  • Suchan, J., Bhatt, M. (2016). Semantic Question-Answering with Video and Eye-Tracking Data – AI Foundations for Human Visual Perception Driven Cognitive Film Studies. IJCAI 2016: 25th International Joint Conference on Artificial Intelligence, New York City, USA. [PDF, ]
  • Dubba, K., Cohn, A., Hogg, D., Bhatt, M., Dylla, F. (2015). Learning Relational Event Models from Video. Journal of Artificial Intelligence Research (JAIR), Vol 53, Pages 41-90, 2015. [PDF]

Cognitive Science and AI

Cognitive Science and AI / Spatial Cognition and Computation. Multimodal Interaction. Visual Perception.

  • Naveriani, A., Suchan, J., Zoia, S., Bhatt, M., Lieto, A., Pozzato, G. L. (2026). A Cognitively Motivated Multidimensional Framework for Evaluating Metaphor Explanations. In: INLG 2026: 19th International Conference on Natural Language Generation, Utrecht, the Netherlands. (to appear) [PDF, ]
  • Nair, V., Bhatt, M., Suchan, J., Billing, E., Hemeren, P. (2026). How do Naturalistic Visuo-Auditory Cues Guide Human Attention? - Insights from Systematic Explorations in Visual Perception of Embodied Multimodal Interaction. ACM Transactions on Applied Perception (ACM TAP). [PDF, Supporting www]
  • Kondyli, V., Bhatt, M., Levin, D., Suchan, J. (2023). How do drivers mitigate the effects of naturalistic visual complexity? - On attentional strategies and their implications under a change blindness protocol. Cognitive Research: Principles and Implications (CRPI). 8, 54 (2023). Springer Nature (Open Access). [Open Access, ]
  • Kondyli, V., Suchan, J., Bhatt, M. (2022). Grounding Embodied Multimodal Interaction: Towards Behaviourally Established Semantic Foundations for Human-Centered AI. In: Knowledge Representation for Hybrid Intelligence (KR4HI 2022), part of International Conference on Hybrid Human-Artificial Intelligence (HHAI 2022), Amsterdam, The Netherlands, June 13-17, 2022. [PDF]
  • Kondyli, V., Bhatt, M. (2021). Visuo-Locomotive Update in the Wild: The Role of (Un)Familiarity in Choice of Navigation Strategy, and its Application in Computational Spatial Design. Proceedings of the Annual Conference of the Cognitive Science Society (CogSci 2021), 43, 2017-2023. [PDF]
  • Kondyli, V. and Bhatt, M. (2018). Rotational locomotion in large-scale environments: A survey and implications for evidence-based design practice. Built Environment, 44(2):241–258. [PDF, ]
  • Spranger, M., Suchan, J., Bhatt, M. (2016). Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics and Construction Grammar for Spatial Language. IJCAI 2016: 25th International Joint Conference on Artificial Intelligence, New York City, USA. [PDF, ]
  • Bhatt, M., Schultz, C., Freksa, C. (2013). The ‘Space’ in Spatial Assistance Systems: Conception, Formalisation, and Computation. in T. Tenbrink, J. Wiener, C. Claramunt (editors). Representing space in cognition: Behavior, language, and formal models. 353 Pages, Series: Explorations in Language and Space. Oxford University Press, 2013. [PDF, ]

Declarative AI – Computational Commonsense Reasoning

Declarative AI -and- Commonsense Reasoning / Non-Monotonicity. Spatial Reasoning.

  • Monsen, J., Suchan, J., Bhatt, M. (2025). Probabilistic Answer Set Programming Driven Ranking of Dynamic Space-Time Belief Models. In: RuleML+RR 2025 - Rules and Reasoning - 9th International Joint Conference, part of: Declarative AI 2025 - Rules, Reasoning, Decisions, and Explanations (RuleML+RR 2025). [PDF, ]
  • Schultz, C., Bhatt, M., Suchan, J., and Walega, P. A. (2018). Answer set programming modulo ‘space-time’. In Benzmüller, C., Ricca, F., Parent, X., and Roman, D., editors, Rules and Reasoning - Second International Joint Conference, RuleML+RR 2018, Luxembourg, September 18–21, 2018, Proceedings, volume 11092 of Lecture Notes in Computer Science, pages 318–326. Springer. [PDF, ]
  • Suchan, J., and Bhatt, M. (2017). Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW). ICCV 2017 Workshop - Vision in Practice on Autonomous Robots (ViPAR), 16th IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017. Institute of Electrical and Electronics Engineers (IEEE). [PDF, ]
  • Walega, P., Bhatt, M., Schultz, C. (2015). ASPMT(QS): Non-Monotonic Spatial Reasoning with Answer Set Programming Modulo Theories. LPNMR: Logic Programming and Nonmonotonic Reasoning - 13th International Conference, LPNMR 2015, Lexington, KY, USA September 27-30, 2015. (Distinguished paper award) [PDF, ]
  • Eppe, M., Bhatt, M. (2015). A History Based Approximate Epistemic Action Theory for Efficient Postdictive Reasoning. in: Journal of Applied Logic (JOAL). Volume 13, Issue 4, Part 3, December 2015, Pages 720-769. [PDF, DOI]
  • Bhatt, M., Lee, J. H., Schultz, C. (2011). CLP(QS): A Declarative Spatial Reasoning Framework. Proceedings of the 10th International Conference on Spatial Information Theory (COSIT 11). Editors: Egenhofer, Max and Giudice, Nicholas and Moratz, Reinhard and Worboys, Michael. Vol. 6899, Pages: 210–230, Springer Berlin / Heidelberg (LNCS), Belfast, Maine. ISBN: 978-3-642-23195-7. [PDF, ]
  • Bhatt, M., Loke, S. (2008). Modelling Dynamic Spatial Systems in the Situation Calculus. Journal of Spatial Cognition and Computation: Special Issue on Spatio-Temporal Reasoning, Eds. Guesgen, H., Renz, J. 8(1), 86-130, May 2008, ISSN: 1542-7633 (electronic) 1387-5868 (paper), Taylor & Francis. [PDF, ]

AI – Design Cognition and Computing

AI and Design Cognition and Computing / Human-Centred Embodied Architecture Design

  • Krukar, J., Manivannan, C., Bhatt, M., Schultz, C. (2021). Embodied 3D isovists: A method to model the visual perception of space. Environment and Planning B: Urban Analytics and City Science. [PDF]
  • Bhatt, M., Schultz, C. (2017). People-Centered Visuospatial Cognition: Next-Generation Architectural Design Systems and Their Role in Design Conception, Computing, and Communication. In: Ammon, Sabine; Capdevila-Werning, Remei, The Active Image: Architecture and Engineering in the Age of Modeling (pp. 207-232). Springer International Publishing. [PDF, ] Published in English and German. Also in German; titled: “Menschenzentrierte visuell-räumliche Kognition. Architektonische Entwurfssysteme der nächsten Generation und ihre Rolle in Konzeption, Berechnung und Kommunikation”
  • Kondyli, V., Schultz, C., and Bhatt, M. (2017). Evidence-Based Parametric Design: Computationally Generated Spatial Morphologies Satisfying Behavioural-Based Design Constraints. In: 13th International Conference on Spatial Information Theory (COSIT 2017), L’Aquila, Italy, September 4-8, 2017. Springer International Publishing AG. [PDF, ]
  • Bhatt, M., Freksa, C. (2015). Spatial Computing for Design: An Artificial Intelligence Perspective. chapter in: Studying Visual and Spatial Reasoning for Design Creativity (ed: John Gero), 326 pages, ISBN: 978-94-017-9296-7. Springer, 2015. [PDF, ]
  • Bhatt, M., Schultz, C., Thosar, M. (2014). Computing Narratives of Cognitive User Experience for Building Design Analysis: KR for Industry Scale Computer-Aided Architecture Design. in KR 2014: Principles of Knowledge Representation and Reasoning: Proceedings of the 14th International Conference, Vienna, Austria (AAAI Press). [PDF, ]
  • Schultz, C., Bhatt, M. (2012). Multi-Modal Spatial Data Access for Architecture Design Assistance. Special issue on: Design Computing and Cognition, AIEDAM: Artificial Intelligence for Engineering Design, Analysis and Manufacturing Vol.26, No.2, PP. 177-203, 2012, Cambridge University Press. [PDF]
  • Bhatt, M., Schultz, C., Huang, M. (2012). The Shape of Empty Space: Human-Centred Cognitive Foundations in Computing for Spatial Design. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) 2012, Austria. [PDF, ]