{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T11:55:47Z","timestamp":1781265347905,"version":"3.54.1"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032263513","type":"print"},{"value":"9783032263520","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-26352-0_29","type":"book-chapter","created":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T10:55:48Z","timestamp":1781261748000},"page":"350-362","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Risk Management of Cyber Attacks on AI Systems: Computational Analysis of Interaction with an AI Coach"],"prefix":"10.1007","author":[{"given":"Younes El","family":"Morabet","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan","family":"Treur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter H. M. P.","family":"Roelofsma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,2]]},"reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"Treur, J.: Network\u2011oriented modeling for adaptive networks: Designing higher\u2011order adaptive biological, mental and social network models. Springer Nature, Cham (2020)","DOI":"10.1007\/978-3-030-31445-3"},{"key":"29_CR2","doi-asserted-by":"publisher","unstructured":"Biggio, B., Roli, F.: Wild patterns: Ten years after the rise of adversarial machine learning. Pattern Recogn. 84, 317\u2013331 (2018). https:\/\/doi.org\/10.1016\/j.patcog.2018.07.023","DOI":"10.1016\/j.patcog.2018.07.023"},{"key":"29_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2024.101290","volume":"88","author":"R Chawla","year":"2024","unstructured":"Chawla, R., et al.: An adaptive network model simulating the effects of an AI coach on supporting safety in hospitals through inducing adherence to guidelines in neonatal medical protocols. Cogn. Syst. Res. 88, 101290 (2024)","journal-title":"Cogn. Syst. Res."},{"key":"29_CR4","doi-asserted-by":"crossref","unstructured":"De Gaspari, F., Hitaj, D., Mancini, L.V.: Have you poisoned my data? Defending neural networks against data poisoning (2024). https:\/\/arxiv.org\/pdf\/2403.13523","DOI":"10.1007\/978-3-031-70879-4_5"},{"key":"29_CR5","doi-asserted-by":"publisher","unstructured":"Eppler, M.J., Mengis, J.: The concept of information overload: a review of literature from organization science, accounting, marketing, MIS, and related disciplines. Inf. Soc. 20(5), 325\u2013344 (2004). https:\/\/doi.org\/10.1080\/01972240490507974","DOI":"10.1080\/01972240490507974"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Roelofsma, P.H.M.P., Jabeen, F., Taal, H.R., Treur, J. (eds.): Using shared mental models and organisational learning to support safety and security through cyberspace: a computational analysis approach. Springer Nature (2025)","DOI":"10.1007\/978-3-031-72075-8"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Treur, J., Van Ments, L. (eds.): Mental models and their dynamics, adaptation, and control: a self-modeling network modeling approach. Cham, Springer Nature (2022)","DOI":"10.1007\/978-3-030-85821-6"},{"key":"29_CR8","doi-asserted-by":"publisher","unstructured":"Treur, J.: An adaptive network model covering metacognition to control adaptation for multiple mental models. Cogn. Syst. Res. 67, 18\u201327 (2021). https:\/\/doi.org\/10.1016\/j.cogsys.2020.11.005","DOI":"10.1016\/j.cogsys.2020.11.005"},{"key":"29_CR9","doi-asserted-by":"publisher","unstructured":"Van Ments, L., Treur, J., Klein, J., Roelofsma, P.H.M.P.: A second-order adaptive network model for shared mental models in hospital teamwork. In: Computational Collective Intelligence. Proceedings ICCCI 2021. Lecture Notes in Computer Science, vol. 12876, pp. 126\u2013140. Springer Nature, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-88081-1_10","DOI":"10.1007\/978-3-030-88081-1_10"},{"key":"29_CR10","doi-asserted-by":"publisher","unstructured":"Xu, H., Wang, T., Zhou, Y.: Adversarial machine learning: a review of methods, tools, and trends. J. Mach. Learn. Surv. (2025). https:\/\/doi.org\/10.1007\/s10462-025-11147-4","DOI":"10.1007\/s10462-025-11147-4"},{"issue":"5","key":"29_CR11","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1006\/ijhc.1999.0249","volume":"50","author":"FMT Brazier","year":"1999","unstructured":"Brazier, F.M.T., Treur, J.: Compositional modelling of reflective agents. Int. J. Hum Comput Stud. 50(5), 407\u2013431 (1999)","journal-title":"Int. J. Hum Comput Stud."},{"key":"29_CR12","unstructured":"Maes, P., Nardi, D. (eds.): Meta-level Architectures and Reflection. North-Holland (1988)"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"Meyer, J.J., Treur, J. (eds.): Dynamics and management of reasoning processes. Springer Science & Business Media (2001)","DOI":"10.1007\/978-94-017-1743-4"},{"issue":"3","key":"29_CR14","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1002\/int.4550060304","volume":"6","author":"J Treur","year":"1991","unstructured":"Treur, J.: On the use of reflection principles in modelling complex reasoning. Int. J. Intell. Syst. 6(3), 277\u2013294 (1991)","journal-title":"Int. J. Intell. Syst."},{"key":"29_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1007\/3-540-58792-6_22","volume-title":"Proceedings META 1994","author":"J Treur","year":"1994","unstructured":"Treur, J.: Temporal semantics of meta-level architectures for dynamic control of reasoning. In: Proceedings META 1994. Lecture Notes in Computer Science, vol. 883, pp. 353\u2013376. Springer, Berlin, Heidelberg (1994)"},{"issue":"1\u20132","key":"29_CR16","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/0004-3702(80)90015-6","volume":"13","author":"RW Weyhrauch","year":"1980","unstructured":"Weyhrauch, R.W.: Prolegomena to a theory of mechanized formal reasoning. Artif. Intell. 13(1\u20132), 133\u2013170 (1980)","journal-title":"Artif. Intell."},{"key":"29_CR17","doi-asserted-by":"crossref","unstructured":"Treur, J.: With a little help: a modeling environment for self-modeling network models. In: Treur, J., Van Ments, L. (eds) Mental Models and Their Dynamics, Adaptation, and Control: a Self-Modeling Network Modeling Approach, Ch. 17, pp. 467\u2013489. Springer Nature (2022a)","DOI":"10.1007\/978-3-030-85821-6_17"},{"key":"29_CR18","doi-asserted-by":"publisher","unstructured":"Cornelissen, F., Jonker, C.M., Treur, J.: Compositional verification of knowledge-based systems: a case study for diagnostic reasoning. In: Proceedings EKAW 1997. Lecture Notes in Computer Science, vol. 1319, pp. 65\u201380. Springer, Berlin, Heidelberg (2005). https:\/\/doi.org\/10.1007\/BFb0026778","DOI":"10.1007\/BFb0026778"},{"issue":"4","key":"29_CR19","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/s40595-016-0067-z","volume":"3","author":"J Treur","year":"2016","unstructured":"Treur, J.: Verification of temporal-causal network models by mathematical analysis. Vietnam J. Comput. Sci. 3(4), 207\u2013221 (2016)","journal-title":"Vietnam J. Comput. Sci."},{"key":"29_CR20","doi-asserted-by":"crossref","unstructured":"Treur, J.: Where is this leading me: stationary point and equilibrium analysis for self-modeling network models. In: Treur, J., Van Ments, L. (eds.), Mental Models and Their Dynamics, Adaptation, and Control: A Self-Modeling Network Modeling Approach, Ch 18, pp. 491\u2013535. Cham, Springer Nature (2022b)","DOI":"10.1007\/978-3-030-85821-6_18"},{"key":"29_CR21","doi-asserted-by":"crossref","unstructured":"Treur, J.: Does this suit me? Validation of self-modeling network models by parameter tuning. In: Treur, J., Van Ments, L. (eds.), Mental Models and Their Dynamics, Adaptation, and Control: A Self-Modeling Network Modeling Approach, Ch 19, pp. 537\u2013564. Cham, Springer Nature (2022c)","DOI":"10.1007\/978-3-030-85821-6_19"},{"issue":"2","key":"29_CR22","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1023\/B:APIN.0000013334.33853.0c","volume":"20","author":"FMT Brazier","year":"2004","unstructured":"Brazier, F.M.T., et al.: Compositional verification of a multi-agent system for one-to-many negotiation. Appl. Intell. 20(2), 95\u2013117 (2004)","journal-title":"Appl. Intell."},{"key":"29_CR23","unstructured":"Appendix: (2025). see Linked Data at https:\/\/www.researchgate.net\/publication\/396166659"},{"key":"29_CR24","unstructured":"Roelofsma, P.H.M.P., Barelds, N., Bouma, D., Mestour, W., van den Hout, Treur, J. (eds.) Computational Analysis of Human and Organisational Decision Processes for the Control of Risk Management and Cybersecurity: A Multilevel Adaptive Dynamical System Modeling Approach. Springer Nature (2026). https:\/\/link.springer.com\/book\/9783032238856"},{"key":"29_CR25","unstructured":"Mestour, W., Treur, J., Hendrikse, S.C.F., Roelofsma, P.H.M.P.: Integration of nonlinear computational methods and risk assessment methods applied for cybersecurity. In: Roelofsma, P.H.M.P., Barelds, N., Bouma, D., Mestour, W., van den Hout, Treur, J. (eds.) Computational Analysis of Human and Organisational Decision Processes for the Control of Risk Management and Cybersecurity: A Multilevel Adaptive Dynamical System Modeling Approach, Ch 3. Springer Nature (2026)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Human Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-26352-0_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T10:55:56Z","timestamp":1781261756000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-26352-0_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032263513","9783032263520"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-26352-0_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IHCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Human Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jaipur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ihci2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ihciconference.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}