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[2]   P. Bose and M. Matthews. Coordination of view maintenance policy adaptation decisions: A negotiation-based reasoning approach. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 116–133. Springer-Verlag, 2000.

[3]   M. Burstein, P. Robertson, and et. al. Poirot - integrated learning of web service procedures. In AAAI Proceedings 2008.

[4]   CART robot assisted repair. Robertson, P. and Cerys, D. and Manghwani, P., 2018. https://tinyurl.com/y5aq72cj.

[5]   K.R. Dixon, T.Q. Pham, and P.K. Khosla. Port-based adaptable agent architecture. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 181–198. Springer-Verlag, 2000.

[6]   Olivier L. Georgeon, Batrice de Montra, and Paul Robertson. Reducing Intuitive-Physics Prediction Error Through Playing, page 222233. Springer Nature Switzerland, December 2024.

[7]   R. Grupen. Software mode changes for continuous motion tracking. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 161–180. Springer-Verlag, 2000.

[8]   P. Robertson J. M. Brady. Shadow Stereo, Image Filtering, and Constraint Propagation. Oxford University Press.

[9]   M.M. Kokar, K.M. Passino, K. Baclawski, and J.E. Smith. Mapping an application to a control architecture. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 75–89. Springer-Verlag, 2000.

[10]   R. Laddaga. Active software. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 11–26. Springer-Verlag, 2000.

[11]   R. Laddaga and P. Robertson. Yolambda Reference Manual. Dynamic Object Language Labs, Inc., 1996.

[12]   Robert Laddaga, Paul Robertson, and Howard E. Shrobe, editors. Self-adaptive software: applications: second international workshop, IWSAS 2001, Balatonfured, Hungary, May 17–19, 2001: revised papers, volume 2614 of Lecture Notes in Computer Science, New York, NY, USA, 2003. Springer-Verlag Inc.

[13]   Robert Laddaga, Paul Robertson, and Howie Shrobe. Results of the first international workshop on self adaptive software. Lecture Notes in Computer Science, 1936:242–??, 2001.

[14]   A. Ledeczi, A. Bakay, and M. Maroti. Model-integrated embedded systems. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 99–115. Springer-Verlag, 2000.

[15]   A.C. Meng. On evaluating self-adaptive software. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 65–74. Springer-Verlag, 2000.

[16]   D.J. Musliner. Imposing real-time constraints on self-adaptive controller synthesis. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 143–160. Springer-Verlag, 2000.

[17]   Georgeon O.L. and P. Robertson. Generating natural behaviors using constructivist algorithms. 131:5–14, 2000.

[18]   L.J. Osterweil and L.A. Clarke. Continuous self-evaluation for the self-improvement of software. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 27–39. Springer-Verlag, 2000.

[19]   D. Pavlovic. Towards semantics of self adaptive software. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 50–64. Springer-Verlag, 2000.

[20]   S. Reece. Self-adaptive multi-sensor systems. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 224–241. Springer-Verlag, 2000.

[21]   P. Robertson. An experimental architecture that supports non-temporal prediction. In Proceedings of the Cognitive Science Society, 1981.

[22]   P. Robertson. Non-temporal prediction: A distributed system for concept acquisition. In Proceedings of the Fourth National Conference of the CSCSI/SCEIO, 1981.

[23]   P. Robertson. Opsada3. In Joseph P. Johnson, editor, Washington Ada Symposium, pages 139–146. Association for Computing Machinery, 1985.

[24]   P. Robertson. A rule-based expert simulation environment. Intelligent Simulation Environments, Simulation Series, 17 Number 1, Jan 1986.

[25]   P. Robertson. On reflection and refraction. In Akimori Yonezawa and Brian C. Smith, editors, Reflection and Meta-Level Architecture, Proceedings of the 1992 International Workshop on New Models for Software Architecture. ACM, 1992. Tokyo.

[26]   P. Robertson. Integrating legacy systems with modern corporate applications. Communications of the ACM, 40(5):39–46, May 1997.

[27]   P. Robertson. Reflective protocol for an adaptive control-like system. http://www.robots.ox.ac.uk/r/rpacls.html, 1998.

[28]   P. Robertson. Adaptive Image Analysis for Aerial Surveillance. IEEE Intelligent Systems and Their Applications, 14(3):30–36, 1999.

[29]   P. Robertson. A corpus based approach to the interpretation of aerial images. In Proceedings IEE IPA99. IEE, 1999. Manchester.

[30]   P. Robertson. An architecture for self-adaptation and its application to aerial image understanding. In P. Robertson, R. Laddaga, and H. Shrobe, editors, Self-Adaptive Software, pages 199–223. Springer-Verlag, 2000.

[31]   P. Robertson. A Self-Adaptive Architecture for Image Understanding. PhD thesis, University of Oxford, 2001.

[32]   P. Robertson. A simple robotic testbed based on a simple toy rc hexapod bug. http://people.csail.mit.edu/paulr/bugtestbed.html, 2006.

[33]   P. Robertson. Memory-based simultaneous learning of motor, perceptual, and navigation skills. In Workshop on Machine Learning IROS 2008, 2008.

[34]   P. Robertson and J.M. Brady. Adaptive image analysis for aerial surveillance. IEEE Intelligent Systems, 14(3):30–36, May/June 1999.

[35]   P. Robertson, W.B. Coney, and R. Bobrow. Vehicle load estimation from observation of vibration response. In AIPR2010, 2010.

[36]   P. Robertson, R.T. Effinger, and B.C. Williams. Autonomous robust execution of complex robotic missions. In Proceedings of the Ninth Intelligent Autonomous Systems Conference IAS-9, 2006.

[37]   P. Robertson and R. Laddaga. Principle component decomposition for automatic context induction. In Proceedings Artificial and Computational Intelligence, Tokyo 2002. ACI, 2002.

[38]   P. Robertson and R. Laddaga. A self-adaptive architecture and its application to robust face identification. In LNAI 2417 PRICAI 2002 Trends in Artificial Intelligence, pages 542–551. Springer Verlag, 2002.

[39]   P. Robertson and R. Laddaga. A self-adaptive architecture and its application to robust face identification. In Pacific Rim Conference on Artificial Intelligence 2002. Springer-Verlag, 2002.

[40]   P. Robertson and R. Laddaga. An agent architecture for information fusion and its application to robust face identification. In Proceedings of the 21st International Conference on Applied Informatics, Innsbruck Austria, pages 132–139, 2003.

[41]   P. Robertson and R. Laddaga. A biologically inspired spatial computer that learns to see and act. In Spatial Computing Workshop, SASO 2009, San Francisco, 2009.

[42]   P. Robertson and R. Laddaga. Multi-hypothesis self-adaptive network metric tracking. In Workshop on Machine Learning Meta-Reasoning SASO 2009, 2009.

[43]   P. Robertson and Georgeon O.L. Continuous learning of action and state spaces (class). 131:15–31, 2000.

[44]   P. Robertson and Georgeon O.L. Iwssl introduction to this volume. 131:1–4, 2000.

[45]   P. Robertson, M. M. Terras, Xiao-Bo Pan, J. M. Brady, and A. Bowman. Image to interpretation: An mdl agent architecture to read ancient roman texts. submitted to AI Journal, 17 Number 1, Jan 2006.

[46]   Paul Robertson. Integrating legacy systems with modern corporate applications. Communications of the ACM, 40(5):39–46, may 1997.

[47]   Paul Robertson. An architecture for self-adaptation and its application to aerial image understanding. Lecture Notes in Computer Science, 1936:199–202, 2001.

[48]   Paul Robertson, Olivier Georgeon, and David Lurie. Artificial enactive inference in three-dimensional world. Cognitive Systems Research, 2024.

[49]   Paul Robertson, Olivier Georgeon, Paul Robertson, Henry Minsky, Milan Minsky, and Cyrus Shaoul. Iwssl introduction to this volume. 2020.

[50]   Paul Robertson and Robert Laddaga. A self-adaptive architecture and its application to robust face identification. Lecture Notes in Computer Science, 2417:542–??, 2002.

[51]   Paul Robertson, Robert Laddaga, and Max Van Kleek. Virtual mouse vision based interface. In Proceedings of the 2004 International Conference on Intelligent User Interfaces, Novel interaction modalities II, pages 177–183, 2004.

[52]   Paul Robertson, Robert Laddaga, and Howie Shrobe. Introduction: The first international workshop on self-adaptive software. Lecture Notes in Computer Science, 1936:1–2, 2001.

[53]   Paul Robertson and David Lurie. The enactive inference task in a spatial environment. 2023.

[54]   Paul Robertson. Cart: Pointing the way to robotic assistants, 2019.

[55]   Paul Robertson. Machine learning for autonomous ai systems and robotics, 2020.

[56]   Paul Robertson. Pamela: Integrating modelling and machine learning for autonomous robotics, 2020.

[57]   Paul Robertson. Artificial emotions for rapid online explorative learning. 2022.

[58]   Paul Robertson, and Olivier Georgeon. Continuous learning of action and state spaces (class). 2020.

[59]   Paul Robertson, Olivier Georgeon, and Jianyong Xue. Generating natural behaviors using constructivist algorithms. 2020.

[60]   Paul Robertson, and Andreas Hofmann. Active perception - improving perception robustness by reasoning about context. 2015.

[61]   Paul Robertson, Alexei Samsonovich, and Pete Boltuc. Abstracts of invited talks given at bica*ai 2023. Studies in Computational Intelligence, 2024.

[62]   Paul Robertson and Ingo Scholtes. Sixth IEEE International Conference on Self-Adaptive and Self-Organizing Systems SASO 2012. 2012.

[63]   Paul Robertson, Howard E. Shrobe, and Robert Laddaga, editors. Self-adaptive software: first international workshop, IWSAS 2000, Oxford, UK, April 17–19, 2000: revised papers, volume 1936 of Lecture Notes in Computer Science, New York, NY, USA, 2001. Springer-Verlag Inc.

[64]   H. Shrobe and J. Doyle. Active trust management for autonomous adaptive survivable systems (atm’s for aass’s). In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 40–49. Springer-Verlag, 2000.

[65]   G. Simon, T. Kovacshazy, and G. Peceli. Transient management in reconfigurable systems. In R. Laddaga P. Robertson and H. Shrobe, editors, Self-Adaptive Software, pages 90–98. Springer-Verlag, 2000.

[66]   M. M. Terras and P. Robertson. Downs and acrosses: Textual markup on a stroke level. Literary and Linguistic Computing, 19, Issue 3:pp.397—414, September 2004.

[67]   M. M. Terras and P. Robertson. Image and interpretation. using artificial intelligence to read ancient roman texts. Human IT, 7(3):pp. 1—56, 2005.

[68]   Yuening Zhang, Paul Robertson, Tianmin Shu, Sungkweon Hong, and Brian C. Williams. Risk-bounded online team interventions via theory of mind. In 2024 IEEE International Conference on Robotics and Automation (ICRA), page 1296412970. IEEE, May 2024.