This is a personal page, for which KTH requires a disclaimer in Swedish. With that out of the way, hello, my name is Magnus Boman, welcome, and I do research on

Learning Machines

and how these

relate to each other, and to us, now and in the future
may be used for precision medicine
force us to think about evolving norms and values in future services and products
learn over time for cross-domain applications and then save or share their learned structures
may take on energy-efficient forms that address the von Neumann bottleneck, such as reservoirs for neuromorphic computing

I am a professor at KTH since 2003 in Intelligent Software Services. I am affiliated with:

Karolinska Institute (KI/LIME: Department of Learning, Informatics, Management and Ethics)
King's College London (KCL/IoPPN: Institute of Psychiatry, Psychology and Neuroscience)
University College London (UCL: Division of Psychiatry)

My application area has chiefly been health for the last 15+ years, namely computational epidemiology (digital epidemiology), adaptive treatments in psychiatry, and more recently precision medicine. I am on the Precision Medicine Task Force, jointly at Karolinska University Hospital and Karolinska Institutet (KI).

I was also leading an AI strategy project for the President of KI (2020-21) and my AI assignment at KI continues.

I am on a team that builds learning machines for Internet-based cognitive therapies in several projects, old and new, with Professor Viktor Kaldo.

I also work on patch learning models for emotion-tracking in the human face, funded by the Marianne and Marcus Wallenberg Foundation, with PI Dr Petri Laukka.

Genetic data is analysed using data science in a number of projects, for example with funding from FORTE, with Professor Christian Rück as PI.

I am also a member of the Network Intelligence group led by Professor Dejan Kostic (KTH), contributing to the group's work on time-critical clouds, funded by SSF; we recently received funding from VR for 2022-24 to do scalable federated learning.

Facilitating Early Diagnosis of Lung Cancer: Transdisciplinary Efforts Combining Data from Patient-Reports, Biomarkers and Imaging, is a new project financed by The Sjöberg Foundation, PI Professor Lars E Eriksson.

Finally, I have studied foresight methodology and innovation diffusion in several projects, for example with funding from VINNOVA.

Because of the recent interest in federated learning, I have made my Ph D thesis from 1993 on this topic available again, thanks to the Internet Archive I was able to locate a .ps file from my Web page mid-90s so a PDF can now be found here.

I am also

a fellow at the Royal Society of Medicine, London
an associate editor of Eurosurveillance journal
an associate partner of Rohrbeck und Heger GmbH
an alumnus at IIASA outside Vienna
an owner of a record company and a music publishing house, since 1982
an ashtanga yoga practitioner

Jump down for more on:

PhD Students
KTH Courses
Master Students
Publications

PhD students

I am currently supervising

Jan Cedervall
Abubakr Karali
Akhila Rao
Evangelia Gogoulou
Diarmuid Corcoran

where Jan is at Stockholm University, and I supervise him through my habilitation degree there. I also co-supervise the following PhD students, where Nils and Pontus are at KI.

Nils Isacsson (asst supervisor)
Pontus Bjurner (asst supervisor)
Gizem Çaylak (asst supervisor)
Daniel F. Perez-Ramirez (asst supervisor)

I have had the pleasure of supervising the following people, sorted by their graduation date.

Saranya Natarajan: Programming Language Primitives and Tools for Integrated Real-Time Systems Development
Doctoral thesis (asst supervisor)
TRITA-EECS-AVL; 2021:32, KTH
June 2021
Kambiz Ghoorchian: Graph Algorithms for Large-Scale and Dynamic Natural Language Processing
Doctoral thesis
TRITA-EECS-AVL; 2019:85, KTH
December 2019
Magnus Hjelmblom: Norm-Regulation of Agent Systems: Instrumentalizing an algebraic approach to agent system norms
Doctoral thesis
DSV Report 15-014, Stockholm University
November 2015
Pedro Sanches: Health Data: Representation and (In)visibility
Doctoral thesis
DOI: 10.13140/RG.2.1.4749.5206, KTH
January 2015
Baki Cakici: The Informed Gaze: On the Implications of ICT-Based Surveillance
Doctoral thesis
DSV Report 13-006, Stockholm University
October 2013
Jan Odelstad: Many-Sorted Implicative Conceptual Systems
Doctoral thesis
DSV Report 08-012, KTH
December 2008
Thomas Sandholm: Statistical Methods for Computational Markets---Proportional Share Market Prediction and Admission Control
Doctoral thesis
DSV Report 08-006, KTH
May 2008
Jarmo Laaksolahti: Plot, Spectacle and Experience---Contributions to the Design and Evaluation of Interactive Storytelling
Doctoral thesis (asst supervisor)
DSV Report 08-001, Stockholm University
February 2008
Markus Bylund: A Design Rationale for Pervasive Computing---User Experience, Contextual Change, and Technical Requirements
Doctoral thesis
DSV Report 05-015, KTH
SICS Dissertation Series 40
June 2005
Lisa Brouwers: Microsimulation Models for Disaster Policy Making
Doctoral thesis
DSV Report 05-012, Stockholm University
May 2005
Stefan Johansson: On Coordination in Multi-Agent Systems
Doctoral thesis (asst supervisor)
Department of Software Engineering and Computer Science, Blekinge Institute of Technology
May 2002
Bengt Carlsson: Conflicts in Information Ecosystems---Modelling Selfish Agents and Antagonistic Groups
Doctoral thesis (asst supervisor)
Department of Software Engineering and Computer Science, Blekinge Institute of Technology
December 2001
Harko Verhagen: Norm Autonomous Agents
Doctoral thesis
DSV Report 00-004, Stockholm University
May 2000

Current courses

Learning Machines (ID2225/IK3616), teacher, course responsible, examiner

Research Methodology and Scientific Writing (II2202), teacher, assistant, responsible chiefly for Year 1 students in the Data Science programme

Critical Perspectives on Engineering and Construction of ICT Systems (IK3615), examiner

Philosophy of Science (IC2002), teacher, course responsible, examiner

Philosophy of Science (FIV3000), teacher, course responsible, examiner

Research Methodology in Computer Science (FID3023), teacher, course responsible, examiner

M Sc theses

I always have a stimulating number of master students, which means too many. But feel free to ask about opportunities nevertheless. Please do not expect any of the links to theses below to work, but most theses are available in the open portal DIVA. They are listed in pretty much reverse chronological order (most recent ones on top) and the list is not exhaustive. For some, I was the examiner and for others the supervisor, but I was actively involved with all of the below theses.

David Mellin: "Improving a Few-shot Named Entity Recognition Model Using Data Augmentation” (KTH, Receiver: Findwise)

Styliani Katsarou: "Improving Multilingual Models for the Swedish Language - Exploring Cross-Lingual Transferability and Stereotypical Biases” (KTH, Receiver: Peltarion)

Sevket Melih Zenciroglu: "Comparing Non-Bayesian Uncertainty Evaluation Methods in Chromosome Classification by Using Deep Neural Networks" (KTH, Receiver: Arkus AI)

Sarthak Langde: "QPLaBSE: Quantized and Pruned Language-Agnostic BERT Sentence Embedding Model - Production-ready compression for multilingual transformers" (KTH, Receiver: Sinch)

Robin de Groot: "Developing a Mobile Eye Tracking Solution using Transfer Learning" (KTH, Receiver: Lexplore)

Juan Aldamis Orcajo: "A Machine Learning Approach to the analysis of mortality in patients with cardiovascular diseases" (KTH, Receiver: Intelligent Data Analysis Laboratory, Valencia Uni)

Omar Emilio Contreras Zaragoza: "Explainable Antibiotics Prescriptions in NLP with Transformer Models" (KTH, Receiver: Peltarion)

Boris Bubla: "DistilLaBSE: Task-agnostic distillation of multilingual sentence embeddings" (KTH, Receiver: Sinch)

Bazil Muzaffar Kotriwala: "Predictive Maintenance of Construction Equipment using Log Data" (KTH: Receiver: Volvo Construction Equipment)

Einar Lennelöv: "Overcoming generative likelihood bias for voxel-based out-of-distribution detection" (KTH, Receiver: RaySearch)

Annika Gerigoorian and Maha Kloub: "A Cross-Sectional Technology Acceptance Study of an AI CAD System in a Breast Screening Unit" (KTH B Sc thesis, Receiver: Sankt Görans hospital, Stockholm)

Tengfei Ma: "A Graph Attention plus Reinforcement Learning Method for Antenna Tilt Optimization" (KTH, Receiver: Ericsson)

Esoon Ko: "Product Matching through Multimodal Image and Text Combined Similarity Matching" (KTH: Receiver: APPRL)

Johan Vikström: "Comparing decentralized learning to Federated Learning when training Deep Neural Networks under churn" (KTH)

Mastafa Foufa: "Anomaly Detection Across Multiple Languages" (KTH, Receiver: Microsoft, Dublin)

Pietro Alovisi: "Static Branch Prediction with Representation Learning" (KTH)

Eric Samikwa: "Multi-modal IoT sensing with edge computing for early warning systems" (KTH, Receiver: RISE, Kista)

Xin Ren: "Machine Learning for Genome-Wide Association Study Data" (KTH, Receiver: KI, Huddinge)

Marcos Fernández Carbonell: "Automated Multimodal Emotion Recognition" (KTH, Receiver: Stockholm University, Psychology Dept)

Ronja Jösch: "Managing Microservices with a Service Mesh---An implementation of a service mesh with Kubernetes and Istio" (KTH, Receiver: Sveriges Television)

Tongtong Fang: "Learning from noisy labels by importance reweighting: A deep learning approach" (KTH, Receiver: RIKEN AIP, Tokyo)

Christian Boersmaa: "Designing a platform to communicate posture and movement data to medical professionals" (KTH, Receiver: Qinematic)

Ottar Gudmunsson: "Gating Networks in Learning Machines for Multimodal Data: Decision Fusion on Single Modality Classifiers" (KTH, Receiver: RISE)

Diego Roa: "Analysis of Short Text Classification Strategies using Out-of-Domain Vocabularies" (KTH, Receiver: Celonis)

Hadi Sotudeh: "Predicting Undesired Business Process Behavior using Supervised Machine Learning" (KTH, Receiver: Celonis)

Mattias Arro: "Label-Efficient Multi-Objective Machine Learning for e-Commerce" (KTH, Receiver: SICS)

Erik Droh: "T-Distributed Stochastic Neighbor Embedding Data Preprocessing Impact on Image Classification using Deep Convolutional Neural Networks" (KTH, kex)

Staffan Jansson Aldenfalk: "Prediction of Alarms in a Pump Station using Neural Networks" (KTH, Receiver: Xylem Inc.)

Tijmen Verhulsdonck: "One Shot Object Detection for Tracking Purposes" (KTH, Receiver: ETH / UC Berkeley)

Daniyal Shahrokhian: "Syna: Emotion Recognition based on Spatio-Temporal Machine Learning" (KTH, Receiver: SICS)

Akash Singh: "Anomaly Detection for Temporal Data using Long Short-Term Memory (LSTM)" (KTH, Receiver: Ericsson)

Filip Stojanovski: "Churn Prediction using Sequential Activity Patterns in an On-Demand Music Streaming Service" (KTH, Receiver: Spotify)

Dominik Harz: "Trust and verifiable computation for smart contracts in permissionless blockchains" (KTH, Receiver: SICS)

Mazen Aly: "Automated Bid Adjustments in Search Engine Advertising" (KTH, Receiver: Precis Digital)

Andrea Azzini: "Deep Learning Quantification: Extracting Quantitative Information from Images using Convolutional Autoencoders" (KTH)

Henny Selig: "Continuous Event Log Extraction for Process Mining" (KTH, Receiver: Signavio, Berlin)

Robert Velu: "BarcodeCheck: Retrieval of Product Information" (KTH, Receiver: SICS)

Ali Merikh: "A Triplestore built on Document-Oriented Databases" (KTH, Receiver: SICS)

Mikael Stoltz: "A Parrondo asset allocation strategy based on a discrete time microstructure model" (KTH, Receiver: SICS)

Abdulah Kayal: "A Neural Networks Filtering Mechanism For Foreign Exchange Trading Signals" (KTH, Receiver: SICS)

Stephanie Habib: "Web Caching in IPTV Portals" (KTH, Receiver: Ericsson)

Anusharani Gopu: "Using non-medical risk factors related to dementia and cognitive decline for developing an evidencebased e-health tool" (KTH, Receiver: SICS)

Khurram Shairyar Qalander: "Translating policy statements of Abu Dhabi health authorities into Business Rules" (KTH)

Eric-Oluf Svee: "Time Geography and Structuration Theory as a Basis for Human-centered Microsimulation" (KTH, Receiver: SICS)

Mathias Engvall: "The design of an order flow simulator to validate algorithmic trading strategies" (KTH, Receiver: OMX)

Sharenya Krishnan: "Text-Based Information Retrieval Using Relevance Feedback" (KTH, Receiver: SICS)

Jon Gretar Gudjonsson & Gary MacRitchie: "Strategy Adapting Trading Agent" (KTH, Receiver: SICS)

Henrik Aronsson: "Modeling strategies using predictive analytics: Forecasting future sales and churn management" (KTH, Receiver: Attollo)

Maryamossadat Nematollahi Mahani: "Resolving ambiguities in service robots' behavior"

Alexander Bea: "Re-engineering two financial trading invoicing systems into one integrated solution" (KTH, Receiver: Nordicstation)

Somshree Mukherjee: "Ranking System for IoT Industry Platform" (KTH, Receiver: SICS)

Baki Cakici: "Pickman's Machine: A Reasoning Architecture" (KTH, Receiver: SICS)

Katarina Gyllenbäck: "Narrative bridging: A specification of a modelling method for game design" (KTH, Receiver: SICS)

Nicolas Grasset: "Multi-agent microsimulations with time geography" (KTH, Receiver: SICS)

Khandaker Tabin Hasan: "Metadata-rich Web development methodology" (KTH, Receiver: Univ of Trento)

German Gonzalez: "Kinematic tracking and activity recognition using motion primitives" (KTH, Receiver: Brown Univ, NY)

Ka Lok Chan: "Integration of browsing and searching for semantic information spaces" (KTH)

Zinat Sultana: "Improving the Design Method of the Analysis Pipeline for Spatial Transcriptomics" (KTH, Receiver: SciLife Lab / KI)

Robert Nilsson "Genetiska algoritmer och neurala nät tillämpade på aktiehandel" (KTH, Receiver: SICS)

Asim Ghaffar: "Visualization of Epidemic Spread" (KTH, Receiver: SMI, Fredrik Liljeros)

Dimitrios Konstantinou & Sofia Savvidou "Benchmark för mobiltelefoner" (KTH, Receiver: SICS)

Niklas Boström: "Implementing advanced business logic for stock trade agents" (SU, Receiver: SICS)

Daniel Hilmersson: "SmartTrader: Implementing an Advanced Business Logic Agent for Agent Trade Servers" (Mid-Sweden University, Examiner: Prof Love Ekenberg, Receiver: SICS)

Tobias Hasselrot: "Fair Bandwidth Allocation in Internet Access Gateways: Using Agent-Based Electronic Markets" (KTH, Receiver: SICS, Erik Aurell)

Kristina Andréasson: "Modelling Infectious Disease Control" (SU, Receiver: SICS)

Jesper Johansson & Michael Poijes: "Agent Shell for Stock Market Systems" (SU, Receiver: SICS)

Jan Odelstad: "Artificial Agents and Norms" (SU)

Peter Hultman: "A Risk-Averse TAC Agent" (KTH, Receiver: SICS)

Wah-Sui Almberg: "Improved Pricing on the Stock Market with Trading Agents" (SU, Receiver: OM)

Vincent Hauser & Joakim Orrhult: "Network Monitoring for Networking Agents" (SU, Receiver: SICS)

Rikard Wigforss: "Artificial Intelligence for Real-Time Computer Games" (KTH, Receiver: Grin)

Terese Lund: "Cell-phones and Context" (KTH, NADA, IPLab, Examiner: Anna Swartling, Receiver: SICS)

Björn Qvarsell: "Programming SIM Cards for Mobile Services" (KTH, Receiver: Razorfish)

Hilde Hasli & Jing Cheng: "Smart Downloading of Multimedia" (SU, Receiver: Ericsson Radio Systems)

Jari Pyyluoma: "The origin of law - An Epistemological Artificial Societies Approach" (SU)

Conny Loung: "Agent Behaviour in Groups" (KTH, Receiver: Ducere)

Magnus Hübner: "Pagent - A Search Engine Interface for Mobile Terminals" (KTH, Receiver: Toshiba, Tokyo branch)

Martin Kalén: "A JINI-Based Multi-Agent System" (KTH, Receiver: Spectral)

Erik Welander: "Decision Analysis on the Internet - The DELTA/CGI Pronouncer" (SU)

Sven-Erik Ceedigh: "Trading Agents" (SU)

Göran Eneroth: "Smart Equipment" (KTH)

Jannilla Lidén: "Agent Related Properties of Dutch and English Auctions" (SU)

Christian Guttmann: "A Software Architecture for Four-Legged Robots" (KTH)

David Lybäck: "Transient Diversity in Multi-Agent Systems" (KTH)

Olle Källander: Behaviour-Based Bots in Quake2" (KTH)

Håkan Younes: "Current Tools for Assisting Intelligent Agents in Real-Time Decision Making" (KTH)

Marcus Hammarberg & Mats Bovin: "Decision Support for Software Agents" (SU, Receiver: Telia Research)

Per Thorsson-Börd: "Adding Resource-Specific Information to Agents in a Multi-Agent System" (KTH, Receiver: Telia Research)

Sebastian Wand: "Building a Monitor for a Multi-Agent System" (KTH, Receiver: Telia Research)

Helena Åberg: "Agent Roles in RoboCup Teams" (KTH)

Åsa Åhman: "Decision Control in RoboCup Teams" (KTH)

Henrik Bergström: "Applications, Minimisation, and Visualisation of Finite State Machines" (SU)

Henrik Engström & Johan Kummeneje: "DR ABBility: Agent Technology and Process Control" (SU, Receiver: ABB Network Partner)

Daniel Ejderberg: "Creating a User Agent in a Distributed Information Retrieval Environment" (KTH, Receiver: Telia Research)

Ioannis Tzikas: "Agents and Objects: The Differences" (SU)

Lars Rasmusson: "Socially Controlled Global Agent Systems" (KTH, Receiver: SICS)

Andreas Rasmusson: "Interactive Security Assistance for End-User Supervision of Untrusted Programs" (KTH, Receiver: SICS)

Gabriel Fuchs: "On Diminishing the Gap Between Speed and Correctness in a Decision-Making System" (SU)

Select publications

ResearchGate, Google Scholar, and other profiles are open and hold (mostly meaningless) quantitative data. The below list can be roughly categorised into the following five areas.

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

Computational Health

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 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)
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)
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)
Wallert, John, Julia Boberg, Viktor Kaldo, David Mataix-Cols, Oskar Flygare, James J Crowley, Matthew Halvorsen, Fehmi Ben Abdesslem, Magnus Boman, Evelyn Andersson, Nils Hentati Isacsson, Ekaterina Ivanova, Christian Rück. (2021)
Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data
medRxiv preprint, DOI 10.1101/2021.04.30.21256367. (PDF)

Data Analytics

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)
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)

Networked Foresight and Management Science

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.

Foundational AI and Multi-Agent Systems, plus Applications outside of Health

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
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Team Sweden
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Learning Machines
Proc Learning, Inference and Control of Multi-Agent Systems, AAAI Spring Symposium Series, Stanford Univ, pp. 610--613 (PDF)
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Implementing an Agent Trade Server
Decision Support Systems, 42(1): 318--327 (PDF)
Boman, M. and Verhagen, H. (1998)
Social intelligence as norm adaptation
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Narrative Bridging
In Design Computing and Cognition '10, Gero, J.S. (ed.), pp. 525-544, Springer-Verlag (PDF)
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A Computational Agent Model of Flood Management Strategies
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Reinforcement Learning for Automated Energy Efficient Mobile Network Performance Tuning
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Distributed Monitoring and Control of Office Buildings by Embedded Agents
Information Sciences 171: 293-307 (PDF)
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A tool for coordinating autonomous agents with conflicting goals
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Imposing security constraints on agent-based decision support
Decision Support Systems 20(1): 3-15
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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
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A Fielded Machine Learning System for Vocational Counselling
Applied Artificial Intelligence 8(4): 543-563
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Anticipatory Guidance of Plot
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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 (Open access)

Logic, Mathematics, and Physics

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)

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Most recent edit by m a b @ k t h . s e on 27 January 2022.