Artificial Intelligence

Select publications

• Computational Health
• Data Analytics
• Networked Foresight and Management Science
• Foundational AI and Multi-Agent Systems, plus Applications outside of Health
• Logic, Mathematics, and Physics

• Boman, M. (2014)
  Who Were Where When? On the Use of Social Collective Intelligence in Computational Epidemiology
  In Miorandi, D.; Maltese, V.; Rovatsos, M.; Nijholt, A. and Stewart, J. (eds.), Social Collective Intelligence, Computational Social Sciences, Springer, pp. 203-225 (PDF)

• Boman, M. (2011)
  On Understanding Catastrophe: The Case of Highly Severe Influenza-Like Illness
  Presented at the 2011 IJCAI WS on Link Analysis in Heterogeneous Networks (PDF)

• Boman, M., Ben Abdesslem, F., Forsell, E., Gillblad, D., Görnerup, O., Isacsson, N., Sahlgren, M. and Kaldo, V. (2019)
  Learning Machines in Internet-Delivered Psychological Treatment
  Progress in Artificial Intelligence 8(4):475-485 (PDF)

• Boman, M., Cakici, B., Guttmann, C., Al Hosani, F., and Al Mannaei, A. (2012)
  Syndromic surveillance in the United Arab Emirates
  In Innovations in Information Technology (IIT), pp. 31-35, IEEE Xplore, doi: 10.1109/INNOVATIONS.2012.6207758 (PDF)

• Boman, M., Downs, J., Karali, A., & Pawlby, S. (2020)
  Toward Learning Machines at a Mother and Baby Unit
  Frontiers in Psychology 11 (PDF)

• Boman, M.; Ghaffar, A.; Liljeros, F. and Stenhem, M. (2006)
  Social network visualization as a contract tracing tool
  In Jennings, N. et al. (eds.), Proc 1st Intl WS on Agent Technology for Disaster Management, 131--133, Hakodate, Japan. (PDF)

• Boman, M. and Gillblad, D. (2014)
  Learning Machines for Computational Epidemiology
  1st Workshop on Computational Epidemiology, Proc IEEE Big Data, pp. 1-5. (PDF)

• Boman, M. and Lerenius, S. (2022)
  Artificial Intelligence Medical Decision-Making: From Successful Pilot to Clinic
  Proc ISPIM, Copenhagen, ISPIM Society.

• Boman, M. and Johansson, S. (2007)
  Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games
  Proc Digital Games Research Association (DiGRA), Tokyo, September 2007. (PDF)

• Brouwers, L., Boman, M., Camitz, M., Mäkilä, K. and Tegnell, A. (2010)
  Micro-Simulation of a Smallpox Outbreak using Official Register Data
  Eurosurveillance, 15(35).
  REF: Euro Surveill. 2010;15(35):pii=19651. PMID: 20822732 [PubMed - indexed for MEDLINE]. (PDF)

• Brouwers, L., Cakici, B., Camitz, M., Tegnell, A. and Boman, M. (2009)
  Economic consequences to society of pandemic H1N1 influenza 2009: Preliminary results for Sweden
  Eurosurveillance, 14(37)
  REF: Euro Surveill. 2009;14(37):pii=19333. PMID: 19761738 [PubMed - indexed for MEDLINE]. (PDF)

• Cakici, B. and Boman, M. (2011)
  A Workflow for Software Development within Computational Epidemiology
  Journal of Computational Sciences, 2(3):216-222. DOI: 10.1016/j.jocs.2011.05.004. (PDF)

• Eloranta, S and Boman, M. (2022)
  Predictive models for clinical decision making: Deep dives in practical machine learning
  Journal of Internal Medicine 292(2): 278-295. (PDF)

• Fernández Carbonell M., Boman M., Laukka P. (2021)
  Comparing supervised and unsupervised approaches to multimodal emotion recognition
  PeerJ Computer Science 7:e804 DOI 10.7717/peerj-cs.804 (PDF)

• Fletcher-Sandersjöö A, Tatter C, Yang, L, Pontén, E, Boman, M, et al. (2022)
  Stockholm score of lesion detection on computed tomography following mild traumatic brain injury (SELECT-TBI): study protocol for a multicentre, retrospective, observational cohort study
  BMJ Open 12:e060679 (PDF).

• Forsell, E., Isacsson, N., Blom, K., Jernelöv, S., Ben Abdesselem, F., Lindefors, N., Boman, M. and Kaldo, V. (2019)
  Predicting Treatment Failure in Regular Care Internet-Delivered Cognitive Behavior Therapy for Depression and Anxiety using only Weekly Symptom Measures
  Journal of Consulting and Clinical Psychology 88(4), 311-321. https://doi.org/10.1037/ccp0000462 (Online First)

• Gogoulou, E., Boman, M., Ben Abdesslem, F., Hentati Isacsson, N., Kaldo, V., Sahlgren, M. (2021)
  Predicting Treatment Outcome from Patient Texts: The Case of Internet-Based Cognitive Behavioural Therapy
  Proc Conf European Chapter of the Association for Computational Linguistics: Main Volume (EACL 2021), pp. 575-580.

• Hayes, Joseph F., David PJ Osborn, Emma Francis, Gareth Ambler, Laurie A. Tomlinson, Magnus Boman, Ian CK Wong, John R. Geddes, Christina Dalman, and Glyn Lewis. (2021)
  Prediction of individuals at high risk of chronic kidney disease during treatment with lithium for bipolar disorder
  BMC Medicine 19(1): 1-16. (PDF)

• Rodríguez-Ruiz, N.R., Abd Own, S., Smedby, K.E., Eloranta, S., Koch, S., Wästerlid, T., Krstic, A. and Boman, M. (2022)
  Data-driven support to decision-making in molecular tumour boards for lymphoma: A design science approach
  Frontiers in Oncology 12:984021. doi: 10.3389/fonc.2022.984021. (PDF)

• Tate, A.E., Akingbuwa, W.A., Karlsson, R., Hottenga, J.J., Pool, R., Boman, M., Larsson, H., Lundström, S., Lichtenstein, P., Middeldorp, C.M. and Bartels, M. (2022)
  A genetically informed prediction model for suicidal and aggressive behaviour in teens
  Translational psychiatry 12(1): 488 (PDF)

• Wallert, J., Boberg, J., Kaldo, V., Mataix-Cols, D., Flygare, O., Crowley, J., Halvorsen, M., Ben Abdesslem, F.. Boman, M., Andersson, E., Hentati Isacsson, N., Ivanova, E., Rück, C. (2022)
  Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data.
  Translational Psychiatry 12: 357 (PDF)

• Bertels, K.; Jacques, J-M. and Boman, M. (2005)
  Risk and crises management in complex systems
  Chapter 16 in Liljenström, H. and Svedin, U. (eds.), Micro-Meso-Macro: Adressing Complex System Couplings, 305-316, World Scientific.

• Boman, M. (2008)
  The Joy of Mesh, British Medical Journal, 337:a2500.

• Boman, M.; Bubenko, jr., J.; Johannesson, P. and Wangler, B. (1997)
  Conceptual Modelling, Prentice-Hall.

• Boman, M. and Kruse, E. (2017)
  Supporting Global Health Goals with Information and Communications Technology
  Global Health Action 10(sup3): 1321904. DOI 10.1080/16549716.2017.1321904 (PDF)

• Boman, M. and Sanches, P. (2015)
  Sensemaking in Intelligent Health Data Analytics
  Künstliche Intelligenz 29: 143-152. DOI 10.1007/s13218-015-0349-0 (PDF)

• Görnerup, O. and Boman, M. (2011)
  The Blogosphere at a Glance: Content-Based Structures Made Simple
  Presented at the IJCAI WS on Social Web Mining. (PDF)

• Perez-Ramirez, D.F., Pérez-Penichet, C., Tsiftes, N., Voigt, T., Kostić, D. and Boman, M. (2023)
  DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks
  Proc 22nd Intl Conf on Information Processing in Sensor Networks, pp. 163-176. DOI: 10.1145/3583120.3586957. (PDF)

• Sanches, P., Svee, E., Bylund, M., Hirsch, B. and Boman, M. (2013)
  Knowing Your Population: Privacy-Sensitive Mining of Massive Data
  Network and Communication Technologies, 2(1):34-51. DOI: 10.5539/nct.v2n1p34. (PDF)

• Boman, M. et al. (2014)
  Insights into promising ICT-related developments and trends
  EIT Digital Innovation Radar, 2014 Annual Trend Report (PDF)

• Boman, M. (2014)
  Active Healthy Ageing
  White Paper, Health and Wellbeing, TR2014-004, EIT Digital (PDF)

• Boman, M. (2013)
  Future Media Distribution
  Technical Foresight Report, TR2013-00x, EIT ICT Labs (PDF)

• Boman, M. (2013)
  Digital Cities
  White Paper, EIT ICT Labs (PDF)

• Boman, M. et al. (2013)
  Insights into promising ICT-related developments and trends
  EIT ICT Labs Innovation Radar, Annual Trend Report 2013 (PDF)

• Boman, M. and Gullström-Hughes, C. (2013)
  Mediated Futures
  Technical Foresight Report, TR2013-002, EIT ICT Labs (PDF)

• Boman, M. and Heger,T. (2019)
  Circles of Impression: External Foresight in Global Enterprises
  In D. A. Schreiber and Z. L. Berge (eds.), Futures Thinking and Organizational Policy, pp. 179-199, palgrave macmillan (PDF)

• Ekenberg, L.; Boman, M. and Linnerooth-Bayer, J. (2001)
  General Risk Constraints
  Journal of Risk Research 4(1): 31-47 (PDF)

• Heger, T. and Boman, M. (2014)
  Networked foresight: The case of EIT ICT Labs
  Technological Forecasting and Social Change 101: 147-164. DOI: 10.1016/j.techfore.2014.02.002.(PDF)

• Heger, T. and Boman, M. (2013)
  Value Creation from Networked Foresighting in the EIT ICT Labs
  In Proc Innovating in Global Markets: Challenges for Sustainable Growth Conference, Helsinki, Finland, June 2013, ISPIM.

• OECD (2009)
  Beyond Textbooks: Digital Learning Resources as Systemic Innovation in the Nordic Countries
  Appointed expert writing assignment, country case study: Iceland.

• Thorngren, B.; Andersson, P.; Bohlin, E. and Boman, M. (2004)
  Seamless mobility: More than it seems
  INFO 6(3): 169-171.

• Aurell, E., Boman, M., Carlsson, M., Eriksson, J., Finne, N., Janson, S., Kreuger, P. and Rasmusson, L. (2002)
  A constraint programming agent for automated trading
  In Proc Eighth International Conference of the Society for Computational Economics: Computing in Economics and Finance
  (PDF)

• Behravesh, R; Rao, A (joint first authors); Perez-Ramirez, D.; Harutyunyan, D.; Riggio, R. and Boman, M. (2022)
  Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming over HTTP (DASH)
  IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2022.3193856 (PDF)

• Bertels, K. and Boman, M. (2001)
  Agent-Based Social Simulation in Markets
  Electronic Commerce Research 1(1-2): 149-158

• Boman, M. (1999)
  Norms in artificial decision making
  Artificial Intelligence and Law 7: 17-35. (PDF)

• Boman, M. (1999)
  Towards artificial decision making
  Robotics and Autonomous Systems 24(3-4): 89-91.

• Boman, M. (1996)
  Implementing norms through normative advice
  In Conte, R. and Falcone, R. (eds.), Proc ICMAS96/IMSA96 Workshop on Norms, Obligations, and Conventions.

• Boman, M. (1993)
  A logical specification of federated information systems, Ph D thesis, DSV Report 93-019-DSV, Stockholm Univ. (PDF).

• Boman, M. (1989)
  Formal representation of the reasoning of intelligent agents by means of epistemic and doxastic modal propositional logic
  M Sc thesis, DSV Report WP153, Stockholm Univ.

• Boman, M.; Åberg, H.; Åhman, Å.; Andreasen, J.; Danielson, M.; Jansson, C-G.; Kummeneje, J.; Verhagen, H. and Walter, J. (1999)
  UBU: Utility-based uncertainty handling in synthetic soccer
  In Asada, M. and Kitano, H. (eds.), RoboCup-98; Robot Soccer World Cup II, 352-357, LNCS 1604, Springer-Verlag.

• Boman, M.; Andreasen, J.; Danielson, M.; Jansson, C-G.; Kummeneje, J.; Sikström, J.; Verhagen, H. and Younes, H. (1998)
  UBU: Pronouncers in RoboCup teams
  In Kitano, H.; Seet, G. and Jagannathan, K. (eds.), Proc Pacific Rim International Conference on Artificial Intelligence, Workshop on RoboCup, 117-122.

• Boman, M.; Davidsson, P.; Kummeneje, J. and Verhagen, H. (2000)
  An anticipatory multi-agent architecture for socially acceptable action
  In Pagello, E.; Groen, F.; Arai, T.; Dillmann, R. and Stentz, A. (eds.), Intelligent Autonomous Systems 6, 744-750, IOS Press.

• Boman, M.; Davidsson, P. and Younes, H. (1999)
  Artificial decision making under uncertainty in intelligent buildings
  Proc UAI'99, Laskey & Prade (eds.), pp.65-70, Morgan Kaufmann

• Boman, M. and Ekenberg, L. (1995)
  Decision making agents with relatively unbounded rationality
  In Nawarecki (ed.), Proc DIMAS95, I/28--I/35, AGH, Krakow

• Boman, M. and Ekenberg, L. (1994)
  Eliminating paraconsistencies in 4-valued cooperative deductive multidatabase systems with classical negation
  In Deen, M. (ed.), Proc Cooperating Knowledge Based Systems, 161--176, Keele Univ Press.

• Boman, M. and Holm, E. (2004)
  Multi-agent systems, time geography, and microsimulations
  Chapter 4 in Olsson, M-O. and Sjöstedt, G., eds., Systems Approaches and their Application, 95--118, Kluwer Academic (PDF)

• Boman, M. and Johannesson, P. (1990)
  Axiomatic epistemic systems for federated information systems.
  In Prakash, N. (ed.), Data Management, 195--213. McGraw-Hill.

• Boman, M. and Johannesson, P. (1990)
  Epistemic logic as a framework for federated information systems.
  In Deen, M. (ed.), Cooperating Knowledge Based Systems, 255--270. Springer-Verlag.

• Boman, M.; Johansson, S. and Lybäck, D. (2001)
  Parrondo strategies for artificial traders
  In Zhong, N.; Liu, J.; Ohsuga, S. and Bradshaw, J. (eds.), Proc IAT'01, pp. 150--159, World Scientific

• Boman, M.; LeBlanc, K.; Guttmann, C. and Saffiotti, A. (2000)
  Team Sweden
  In Veloso, M. M.; Pagello, E. and Kitano, H. (eds.), RoboCup- 99: Robot Soccer World Cup III, 784-787, LNCS 1856, Springer-Verlag.

• Boman, M.; Sahlgren, M.; Görnerup, O. and Gillblad, D. (2018)
  Learning Machines
  Proc Learning, Inference and Control of Multi-Agent Systems, AAAI Spring Symposium Series, Stanford Univ, pp. 610--613 (PDF)

• Boman, M. and Sandin, A. (2006)
  Implementing an Agent Trade Server
  Decision Support Systems, 42(1): 318--327 (PDF)

• Boman, M. and Verhagen, H. (1998)
  Social intelligence as norm adaptation
  Proc workshop on Socially Situated Intelligence, Dautenhahn, K. and Edmonds, B. (eds.), part of 5th Intl Conf on Simulation of Adaptive Behavior (PDF)

• Borg Gyllenbäck, K. and Boman, M. (2011)
  Narrative Bridging
  In Design Computing and Cognition '10, Gero, J.S. (ed.), pp. 525-544, Springer-Verlag (PDF)

• Brouwers, L. and Boman, M. (2011)
  A Computational Agent Model of Flood Management Strategies
  In: Computational Methods Applied to Agricultural Research: Advances and Applications,
  do Prado, H.A.; Luiz, A.J.B.; Filho, H.C. (eds.), pp. 296-307, IGI Global (PDF)

• Corcoran, D., Kreuger, P., Boman, M. (2021)
  Reinforcement Learning for Automated Energy Efficient Mobile Network Performance Tuning
  In Proc 17th Intl Conf on Network and Service Management (CNSM), IFIP, pp. 216-224 (PDF)

• Corcoran, D., Kreuger, P., Boman, M. (2022)
  A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning
  In Proc 18th Intl Conf on Network and Service Management (CNSM), IFIP, pp. 338-344. (PDF)

• Davidsson, P. and Boman, M. (2005)
  Distributed Monitoring and Control of Office Buildings by Embedded Agents
  Information Sciences 171: 293-307 (PDF)

• Ekenberg, L.; Boman, M. and Danielson, M. (1995)
  A tool for coordinating autonomous agents with conflicting goals
  In Lesser, V. (ed.), Proc ICMAS95, pp. 89--93, AAAI/MIT Press

• Ekenberg, L.; Danielson, M. and Boman, M. (1997)
  Imposing security constraints on agent-based decision support
  Decision Support Systems 20(1): 3-15

• Ekenberg, L.; Danielson, M. and Boman, M. (1996)
  From local assessments to global rationality
  Intelligent and Cooperative Information Systems 5(2&3): 315-331 (PDF)

• Harz, D. and Boman, M. (2019)
  The Scalability of Trustless Trust
  In Financial Cryptography and Data Security, pp. 279-293, Zohar, A et al. (eds.), LNCS, Volume 10958, Springer Verlag. (PDF)

• Kjellin, H. and Boman, M. (1994)
  A Fielded Machine Learning System for Vocational Counselling
  Applied Artificial Intelligence 8(4): 543-563

• Laaksolahti, J. and Boman, M. (2003)
  Anticipatory Guidance of Plot
  In Butz, M.; Sigaud, O. and Gerard, P., eds., Anticipatory Behavior in Adaptive Learning Systems. Springer-Verlag, LNAI2684 pp. 243--261 (PDF)

• Lybäck, D. and Boman, M. (2004)
  Agent trade servers in financial exchange systems
  ACM Transactions on Internet Technology 4(3): 329--339 (PDF)

• Nylander, S.; Bylund, M. and Boman, M. (2004)
  Mobile access to real-time information - The case of autonomous stock brokering
  Personal and Ubiquitous Computing 8: 42--46 (PDF)

• Vesselinova, N.; Steinert, R.; Perez-Ramirez, D. and Boman, M. (2020)
  Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
  IEEE Access 8: 120388--120416 (PDF)

• Boman, M. (1993)
  A survey of provability logic
  DSV Internal Working Note 46

• Boman, M. and Karlgren, J. (1996)
  Abstrakta maskiner och formella språk
  Studentlitteratur. In Swedish.

• Borlenghi, S.; Boman, M. and Delin, A. (2018)
  Modeling reservoir computing with the discrete nonlinear Schrödinger equation
  Phys. Rev. E 98: 052101

• Odelstad, J. and Boman, M. (2004)
  Algebras for agent norm-regulation
  Annals of Mathematics and Artificial Intelligence, 42(1-3): 141--166 (PDF)

• Rasmusson, L. and Boman, M. (2002)
  Analytical expressions for Parrondo games
  Fluctuation and Noise Letters 2(4): L343--L348 (PDF)

Most recent edit by m a b @ k t h . s e on 27 May 2023.