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  • 1. Almberg, Wah-Sui
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    An active agent portfolio algorithm2003In: Artificial intelligence and computer science, Nova publishers , 2003, 1, p. 123-134Chapter in book (Refereed)
    Abstract [en]

    An algorithm for managing a portfolio of stocks using a trading agent is presented. A simulation game inspired by history-based Parrondo games is described. A performance measure is defined, with which various strategy mixes can be judged. Even when transaction costs are taken into account, active portfolio management (as opposed to Buy and Hold) is shown to be profitable.

  • 2. Andersson, Gerd
    et al.
    Bullock, Adrian
    RISE - Research Institutes of Sweden, ICT, SICS.
    Laaksolahti, Jarmo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Nylander, Stina
    RISE, Swedish ICT, SICS, Software and Systems Engineering Laboratory.
    Olsson, Fredrik
    RISE - Research Institutes of Sweden, ICT, SICS.
    Sjölinder, Marie
    RISE, Swedish ICT, SICS.
    Waern, Annika
    RISE, Swedish ICT, SICS.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Classifying Mobile Services2004Report (Other academic)
    Abstract [en]

    A categorization of telecommunications services is presented, as a deliverable in a project commissioned by TeliaSonera.

  • 3. Aurell, Erik
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Carlsson, Mats
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    A trading agent built on constraint programming2002Conference paper (Refereed)
    Abstract [en]

    The Trading Agent Competition (TAC) combines a fairly realistic model of the Internet commerce of the future, including shopbots and pricebots, with a challenging problem in automated reasoning and decision making. Automated trading via auctions under severe time constraints are to be con-ducted by entering autonomous agents into TAC, assuming the role of travel agents. The TAC game rules, as well as a description of the discrete op-timization problem faced by an agent that wishes to allocate goods to its clients, are described. The TAC’01 entry “006”, encapsulating a constraint programming solution, is explained in some detail.

  • 4. Bertels, Koen
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Agent-based social simulation in markets2001In: Electronic Commerce Research, ISSN 1389-5753, E-ISSN 1572-9362, Vol. 1, no 1-2, p. 149-158Article in journal (Refereed)
    Abstract [en]

    We show that certain desired behavioural properties of agent-based models can be deterministically induced by an appropriate mathematical structure. We also point out problems related to the handling of parameters, and of the modelling of time, in agent-based models. Our purpose is to illustrate some problems of agent-based social simulations in markets, as a first step towards the more ambitious goal of providing a methodology for such simulations.

  • 5. Bertels, Koen
    et al.
    Jacques, Jean-Marie
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Risk and crises management in complex systems2005In: MICRO MESO MACRO: Addressing Complex Systems Couplings, World Scientific Publishing Company , 2005, 4, , p. 12p. 305-316Chapter in book (Refereed)
    Abstract [en]

    Many theories attempt to explain the nature of industrial and other kinds of hazards and some of the also stress the dynamical aspects of such events. We investigate to what extent the theory of self-organized criticality contributes to our understanding of industrial hazards.

  • 6.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Artificial agent action in markets2001In: Electronic Commerce Research, ISSN 1389-5753, E-ISSN 1572-9362, Vol. 1, no 1-2, p. 159-168Article in journal (Refereed)
    Abstract [en]

    We summarise our experiences of a number of demonstrators and simulation experiments designed to test the feasibility of using artificial decision making agents in real-time domains, and comment on the significance of our results to autonomous artificial agent action patterns in markets. Our main hypothesis is that the use of norms can extend the capability of artificial decision makers beyond what is obtained from implementing individual utility maximisers in keeping with rational choice theory.

  • 7.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    On Understanding Catastrophe — The Case of Highly Severe Influenza-Like Illness2011Conference paper (Refereed)
    Abstract [en]

    Computational epidemiology is a form of spatiotemporal reasoning in which social link structures are employed, and spatially explicit models are specified and executed. We point to issues thus far addressed neither by engineers, nor scientists, in the light of a use case focusing on catastrophic scenarios that assume the emergence of a highly unlikely but lethal and contagious strain of influenza. Our conclusion is that important perspectives are missing when dealing with policy issues resulting from scenario execution and analyses in computational epidemiology.

  • 8.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Speedwriting in Networked Foresight2014Conference paper (Refereed)
  • 9.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    The joy of mesh2008In: British Medical JournalArticle in journal (Refereed)
  • 10.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Trading agents2001In: AgentLink News, ISSN 1465-3842, Vol. 6, p. 15-17Article in journal (Other (popular science, discussion, etc.))
  • 11.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Who Were Where When? On the Use of Social Collective Intelligence in Computational Epidemiology2014In: Social Collective Intelligence, Switzerland: Springer , 2014, 9, p. 203-225Chapter in book (Refereed)
    Abstract [en]

    A triangular (case, theoretical, and literature) study approach is used to investigate if and how social collective intelligence is useful to computational epidemiology. The hypothesis is that the former can be employed for assisting in converting data into useful information through intelligent analyses by deploying new methods from data analytics that render previously unintelligible data intelligible. A conceptual bridge is built between the two concepts of crowd signals and syndromic surveillance. A concise list of empirical observations supporting the hypothesis is presented. The key observation is that new social collective intelligence methods and algorithms allow for massive data analytics to stay with the individual, in micro. It is thus possible to provide the analyst with advice tailored to the individual and with relevant policies, without resorting to macro (statistical) analyses of homogeneous populations.

  • 12.
    Boman, Magnus
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS. KTH Royal Institute of Technology, Sweden.
    Ben Abdesslem, Fehmi
    RISE - Research Institutes of Sweden, ICT, SICS.
    Forsell, Erik
    Karolinska Institute, Sweden; Stockholm County Council, Sweden.
    Gillblad, Daniel
    RISE - Research Institutes of Sweden, ICT, SICS.
    Görnerup, Olof
    RISE - Research Institutes of Sweden, ICT, SICS.
    Isacsson, Nils
    Karolinska Institute, Sweden; Stockholm County Council, Sweden.
    Sahlgren, Magnus
    RISE - Research Institutes of Sweden, ICT, SICS.
    Kaldo, Viktor
    Karolinska Institute, Sweden; Stockholm County Council, Sweden; Linnaeus University, Sweden.
    Learning machines in Internet-delivered psychological treatment2019In: Progress in Artificial Intelligence, ISSN 2192-6352Article in journal (Refereed)
    Abstract [en]

    A learning machine, in the form of a gating network that governs a finite number of different machine learning methods, is described at the conceptual level with examples of concrete prediction subtasks. A historical data set with data from over 5000 patients in Internet-based psychological treatment will be used to equip healthcare staff with decision support for questions pertaining to ongoing and future cases in clinical care for depression, social anxiety, and panic disorder. The organizational knowledge graph is used to inform the weight adjustment of the gating network and for routing subtasks to the different methods employed locally for prediction. The result is an operational model for assisting therapists in their clinical work, about to be subjected to validation in a clinical trial.

  • 13.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Bylund, Markus
    RISE - Research Institutes of Sweden, ICT, SICS.
    Espinoza, Fredrik
    RISE, Swedish ICT, SICS.
    Trading agents for roaming users2002Conference paper (Refereed)
  • 14.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Espinoza, Fredrik
    RISE, Swedish ICT, SICS.
    Franzén, Kristofer
    RISE, Swedish ICT, SICS.
    Hansen, Preben
    RISE, Swedish ICT, SICS.
    Bylund, Markus
    RISE - Research Institutes of Sweden, ICT, SICS.
    Svensson, Martin
    RISE, Swedish ICT, SICS.
    Human Grid: En förstudie2007Report (Other academic)
    Abstract [sv]

    Vi har granskat förutsättningarna och möjligheterna att implementera Human Grid: en så kallad mellanprogramvara för att integrera samarbetsfrämjande IT-lösningar som redan idag finns i datorer och telefoner, med hänsyn tagen till formella och informella sociala nätverk.

  • 15.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Ghaffar, Asim
    Liljeros, Fredrik
    Stenhem, Mikael
    Social network visualization as a contract tracing tool2006Conference paper (Refereed)
    Abstract [en]

    Something many pathogens have in common is the requirement for tracing their spread under harsh time constraints, posing a so-called contact tracing (or ``race-to-trace'') problem. We present a tool for visualizing contact networks, an important step towards practical use by epidemiologists, which generates interactive three-dimensional (3D) network visualizations. Its general purpose visualization engine can support multiple applications and varying pathogens. The main purpose is to trace, in the case of an outbreak, contacts among individuals known to have been at the same place.

  • 16.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Gillblad, Daniel
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Learning machines for computational epidemiology2014Conference paper (Refereed)
    Abstract [en]

    Resting on our experience of computational epidemiology in practice and of industrial projects on analytics of complex networks, we point to an innovation opportunity for improving the digital services to epidemiologists for monitoring, modeling, and mitigating the effects of communicable disease. Artificial intelligence and intelligent analytics of syndromic surveillance data promise new insights to epidemiologists, but the real value can only be realized if human assessments are paired with assessments made by machines. Neither massive data itself, nor careful analytics will necessarily lead to better informed decisions. The process producing feedback to humans on decision making informed by machines can be reversed to consider feedback to machines on decision making informed by humans, enabling learning machines. We predict and argue for the fact that the sensemaking that such machines can perform in tandem with humans can be of immense value to epidemiologists in the future.

  • 17.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holm, Einar
    Multi-agent systems, time geography, and microsimulations2004In: Systems Approaches and Their Application, Kluwer , 2004, 1, , p. 340p. 95-118Chapter in book (Refereed)
    Abstract [en]

    In this chapter we consider the role virtual conferencing has to play in realising a successful Inhabited Information Space (IIS). For any IIS to be successful it needs to weave together many different constituent elements and present these in a coherent and seamless manner. For example, Maher et al (2000) describe how many different components are used together to create a virtual design studio for architectural collaboration. For the IIS to function all the elements must work both individually and collectively. Communication is one of the basic building blocks for an IIS, and can be in many modes across many media. Approaches to virtual conferencing offer support for communication across a number of media and can be utilised in an IIS. These approaches are also starting to additionally offer support for collaboration. By providing an introduction to and overview of various possibilities for virtual conferencing we aim to show how these solutions can provide the required and appropriate support for communication and collaboration between inhabitants in a shared information space. Of course virtual conferencing solutions exist at many levels of sophistication and fidelity. Communication media can range from text through 3d graphics to video representations. The aim of this chapter is to present these many and varied possibilities, drawing on the experience of the author as well as insights into the past, present and future. In this way it is possible to see how diverse a range of IISes can make use of virtual conferencing functionality.

  • 18.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Johansson, Stefan J.
    Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games2007Conference paper (Refereed)
    Abstract [en]

    A virtual plague is a process in which a behavior-affecting property spreads among characters in a Massively Multiplayer Online Game (MMOG). The MMOG individuals constitute a synthetic population, and the game can be seen as a form of interactive executable model for studying disease spread, albeit of a very special kind. To a game developer maintaining an MMOG, recognizing, monitoring, and ultimately controlling a virtual plague is important, regardless of how it was initiated. The prospect of using tools, methods and theory from the field of epidemiology to do this seems natural and appealing. We will address the feasibility of such a prospect, first by considering some basic measures used in epidemiology, then by pointing out the differences between real world epidemics and virtual plagues. We also suggest directions for MMOG developer control through epidemiological modeling. Our aim is understanding the properties of virtual plagues, rather than trying to eliminate them or mitigate their effects, as would be in the case of real infectious disease.

  • 19.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Johansson, Stefan
    Lybäck, David
    Parrondo strategies for artificial traders2001In: Intelligent Agent Technology, World Scientific, 2001, 1, , p. 10p. 150-159Chapter in book (Refereed)
    Abstract [en]

    On markets with receding prices, artificial noise traders may consider alternatives to buy-and-hold. By simulating variations of the Parrondo strategy, using real data from the Swedish stock market, we produce first indications of a buy-low-sell-random Parrondo variation outperforming buy-and-hold. Subject to our assumptions, buy-low-sell-random also outperforms the traditional value and trend investor strategies. We measure the success of the Parrondo variations not only through their performance compared to other kinds of strategies, but also relative to varying levels of perfect information, received through messages within a multi-agent system of artificial traders.

  • 20.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS.
    Karlgren, Jussi
    RISE, Swedish ICT, SICS.
    Abstrakta maskiner och formella språk1996 (ed. 1)Book (Refereed)
    Abstract [sv]

    Lärobok i formella språk.

  • 21.
    Boman, Magnus
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS. KTH Royal Institute of Technology, Sweden.
    Kruse, Erik
    Ericsson, Sweden.
    Supporting global health goals with information and communications technology2017In: Global Health Action, ISSN 1654-9716, E-ISSN 1654-9880, Vol. 10, article id 1321904Article in journal (Refereed)
    Abstract [en]

    The objective of this study is to critically assess the possible roles of information and communications technology (ICT) in supporting global health goals. This is done by considering privilege and connectibility. In short, ICT can contribute by providing health information via four different kinds of access, each with its own history and prospective future. All four are analyzed here, in two perspectives: business-as-usual and disruptive. Health data analytics is difficult since the digital representation of past, current, and future health information is lacking. The flow of analytics that may prove beneficial to the individual and not just meet abstract population-level goals or ambitions is analyzed in detail. Sensemaking is also needed, to meet the minimum requirement of making prospective future services understandable to policymakers. Drivers as well as barriers for areas in which policy decisions have the potential to drive positive developments for meeting the Sustainable Development Goals are identified. © 2017 The Author(s).

  • 22.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Laaksolahti, Jarmo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Espinoza, Fredrik
    RISE - Research Institutes of Sweden, ICT, SICS.
    Cöster, Rickard
    RISE - Research Institutes of Sweden, ICT, SICS.
    Trust in Micro Service Environments2006Report (Other academic)
    Abstract [en]

    Report produced in the project Enabling and Promoting Trust in Micro Service Environments (EPTMSE) with a web site at www.trust-eze.org. The report gives an overview of the concept of trust in domains such as psychology, sociology, philosophy, and computer science, and then describes the current domain of Micro Service Environments - open and unregulated electronic service environments - where users can create, use, and share electronic services, and where the need for decentralized trust mechanisms is high. Some design and implementation choices and solutions for trust mechanisms are suggested.

  • 23.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab. KTH Royal Institute of Technology, Sweden.
    Sanches, Pedro
    RISE, Swedish ICT, SICS.
    Sensemaking in Intelligent Health Data Analytics2015In: Künstliche Intelligenz, ISSN 0933-1875, E-ISSN 1610-1987, Vol. 29, no 2, p. 143-152Article in journal (Refereed)
    Abstract [en]

    A systemic model for making sense of health data is presented, in which networked foresight complements intelligent data analytics. Data here serves the goal of a future systems medicine approach by explaining the past and the current, while foresight can serve by explaining the future. Anecdotal evidence from a case study is presented, in which the complex decisions faced by the traditional stakeholder of results—the policymaker—are replaced by the often mundane problems faced by an individual trying to make sense of sensor input and output when self-tracking wellness. The conclusion is that the employment of our systemic model for successful sensemaking integrates not only data with networked foresight, but also unpacks such problems and the user practices associated with their solutions.

  • 24.
    Boman, Magnus
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Sandin, Anna
    Implementing an agent trade server2004In: Decision Support Systems, ISSN 0167-9236, E-ISSN 1873-5797Article in journal (Refereed)
    Abstract [en]

    An experimental server for stock trading autonomous agents is presented and made available, together with an agent shell for swift development. The server, written in Java, was implemented as proof-of-concept for an agent trade server for a real financial exchange.

  • 25. Borg Gyllenbäck, Katarina
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Narrative Bridging2011In: Design Computing and Cognition '10, Springer , 2011, 7, p. 525-544Chapter in book (Refereed)
    Abstract [en]

    In the design of interactive media, various forms of intuitive practice come into play. It might prove tempting to use templates and strong narrative structures from film, instead of developing the narrative directly for interactive media, leading to a move towards computer implementation too swiftly. The narrative bridging method focuses on the initial design phase, in which the conceptual modeling takes place. The purpose is to provide designers with a non-intrusive method that aids the design without interfering with creativity. The method supports the sentient construction of digital games with a narrative, with the ultimate goal of enhancing the player’s experience. A prototype test served as a first evaluation, and two games from that test are showcased here for the purpose of illustrating the hands-on use of narrative bridging. The test demonstrated that the method could aid time-constrained design, and in the process detect inconsistencies that could prevent the design team from making improvements. The method also provided teams with a shared vocabulary and outlook.

  • 26.
    Borlenghi, Simone
    et al.
    KTH Royal Institute of Technology, Sweden.
    Boman, Magnus
    RISE - Research Institutes of Sweden, ICT, SICS. KTH Royal Institute of Technology, Sweden.
    Delin, Anna
    KTH Royal Institute of Technology, Sweden.
    Modeling reservoir computing with the discrete nonlinear Schrödinger equation2018In: Physical review. E, ISSN 2470-0045, E-ISSN 2470-0053, Vol. 98, no 5, article id 052101Article in journal (Refereed)
    Abstract [en]

    We formulate, using the discrete nonlinear Schrödinger equation (DNLS), a general approach to encode and process information based on reservoir computing. Reservoir computing is a promising avenue for realizing neuromorphic computing devices. In such computing systems, training is performed only at the output level by adjusting the output from the reservoir with respect to a target signal. In our formulation, the reservoir can be an arbitrary physical system, driven out of thermal equilibrium by an external driving. The DNLS is a general oscillator model with broad application in physics, and we argue that our approach is completely general and does not depend on the physical realization of the reservoir. The driving, which encodes the object to be recognized, acts as a thermodynamic force, one for each node in the reservoir. Currents associated with these thermodynamic forces in turn encode the output signal from the reservoir. As an example, we consider numerically the problem of supervised learning for pattern recognition, using as a reservoir a network of nonlinear oscillators.

  • 27. Brouwers, Lisa
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    A Computational Agent Model of Flood Management Strategies2011In: Computational Methods Applied to Agricultural Research: Advances and Applications, IGI Global , 2011, 7, p. 296-307Chapter in book (Refereed)
    Abstract [en]

    A geographically explicit flood simulation model was designed and implemented as a tool for policy making support, illustrated here with two simple flood management strategies pertaining to the Upper Tisza area in Hungary. The model integrates aspects of the geographical, hydrological, economical, land use, and social context. The perspectives of different stakeholders are represented as agents that make decisions on whether or not to buy flood insurance. We demonstrate that agent-based models can be important for policy issues in general, and for sustainable development policy issues in particular, by aiding stakeholder communication and learning, thereby increasing the chances of reaching robust decisions. The agent-based approach enables the highlighting and communication of distributional effects of policy changes at the micro-level, as illustrated by several graphical representations of outputs from the model.

  • 28. Brouwers, Lisa
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Camitz, Martin
    Mäkelä, Kalle
    Tegnell, Anders
    Micro-Simulation of a Smallpox Outbreak using Official Register Data2010In: Eurosurveillance, Vol. 15Article in journal (Refereed)
    Abstract [en]

    To explore the efficacy of four vaccine-based policy strategies (ring vaccination, targeted vaccination, mass vaccination, and pre-vaccination of health care personnel combined with ring vaccination) for controlling smallpox outbreaks in Sweden, disease transmission on a spatially explicit social network was simulated. The mixing network was formed from highcoverage official register data of the entire Swedish population, building on the Swedish Total Population Register, the Swedish Employment Register, and the Geographic Database of Sweden. The largest reduction measured in the number of infections was achieved when combining ring vaccination with a pre-vaccination of health care personnel. In terms of per dose effectiveness, ring vaccination was by far the most effective strategy. While unsurprising, the results can to some extent be adapted to other diseases and environments, including other countries, and the methodology employed can be analysed in its own right. The mixing networks and other intrinsic structures generated with the help of the model could prove useful to a larger class of problems within policy making, for example.

  • 29.
    Cakici, Baki
    et al.
    RISE, Swedish ICT, SICS.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    A Workflow for Software Development within Computational Epidemiology2011In: Journal of Computational Sciences, Vol. 2, p. 216-222Article in journal (Refereed)
  • 30. Camitz, Martin
    et al.
    Brouwers, Lisa
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Tegnell, Anders
    Cakici, Baki
    RISE, Swedish ICT, SICS.
    Economic consequences to society of pandemic H1N1 influenza 2009: preliminary results for Sweden2009In: Eurosurveillance, ISSN 1025-496X, E-ISSN 1560-7917, Vol. 14, no 37Article in journal (Refereed)
    Abstract [en]

    Experiments using a microsimulation platform show that vaccination against pandemic H1N1 influenza is highly cost-effective. Swedish society may reduce the costs of pandemic by about SEK 2.5 billion (approximately EUR 250 million) if at least 60 per cent of the population is vaccinated, even if costs related to death cases are excluded. The cost reduction primarily results from reduced absenteeism. These results are preliminary and based on comprehensive assumptions about the infectiousness and morbidity of the pandemic, which are uncertain in the current situation.

  • 31. Davidsson, Paul
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Distributed monitoring and control of office buildings by embedded agents2005In: Information Sciences, ISSN 0020-0255, E-ISSN 1872-6291, Vol. 171, p. 293-307Article in journal (Refereed)
  • 32. Ekenberg, Love
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Linnerooth-Bayer, Joanne
    General risk constraints2001In: Journal of Risk Research, ISSN 1366-9877, E-ISSN 1466-4461, Vol. 4, no 1, p. 31-47Article in journal (Refereed)
    Abstract [en]

    The risk evaluation process is integrated with procedures for handling vague and numerically imprecise probabilities and utilities. A body of empirical evidence has shown that many managers would welcome new ways of highlighting catastrophic consequences, as well as means to evaluating decision situations involving high risks. When events occur frequently and their consequences are not severe, it is relatively simple to calculate the risk exposure of an organisation, as well as a reasonable premium when an insurance transaction is made, relying on variations of the principle of maximising the expected utility. When, on the other hand, the frequency of damages is low, the situation is considerably more difficult, especially if catastrophic events may occur. When the quality of estimates is poor, e.g., when evaluating low-probability/high-consequence risks, the customary use of quantitative rules together with unrealistically precise data could be harmful as well as misleading. We point out some problematic features of evaluations performed using utility theory and criticise the demand for precise data in situations where none is available. As an alternative to traditional models, we suggest a method that allows for interval statements and comparisons, which does not require the use of numerically precise statements of probability, cost, or utility in a general sense. In order to attain a reasonable level of security, and because it has been shown that managers tend to focus on large negative losses, it is argued that a risk constraint should be imposed on the analysis. The strategies are evaluated relative to a set of such constraints considering how risky the strategies are. The shortcomings of utility theory can in part be compensated for by the introduction of risk constraints.

  • 33.
    Görnerup, Olof
    et al.
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    The Blogosphere at a Glance — Content-Based Structures Made Simple2011Conference paper (Refereed)
    Abstract [en]

    A network representation based on a basic wordoverlap similarity measure between blogs is introduced. The simplicity of the representation renders it computationally tractable, transparent and insensitive to representation-dependent artifacts. Using Swedish blog data, we demonstrate that the representation, in spite of its simplicity, manages to capture important structural properties of the content in the blogosphere. First, blogs that treat similar subjects are organized in distinct network clusters. Second, the network is hierarchically organized as clusters in turn form higher-order clusters: a compound structure reminiscent of a blog taxonomy.

  • 34.
    Harz, Dominik
    et al.
    Imperial College London, UK.
    Boman, Magnus
    RISE - Research Institutes of Sweden, ICT, SICS. KTH Royal Institute of Technolgyy, Sweden.
    The scalability of trustless trust2019In: Part of the                 Lecture Notes in Computer Science                book series (LNCS, volume 10958), Springer Verlag , 2019, p. 279-293Conference paper (Refereed)
    Abstract [en]

    Permission-less blockchains can realise trustless trust, albeit at the cost of limiting the complexity of computation tasks. To explain the implications for scalability, we have implemented a trust model for smart contracts, described as agents in an open multi-agent system. Agent intentions are not necessarily known and autonomous agents have to be able to make decisions under risk. The ramifications of these general conditions for scalability are analysed for Ethereum and then generalised to other current and future platforms. Finally, mechanisms from the trust model are applied to a verifiable computation algorithm and implemented in the Ethereum blockchain. We show in experiments that the algorithm needs at most six semi-honest verifiers to detect false submission.

  • 35.
    Heger, Tobias
    et al.
    University of Potsdam, Germany.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Networked foresight—The case of EIT ICT Labs2014In: Technological Forecasting and Social Change, Vol. 101, p. 147-164Article in journal (Refereed)
    Abstract [en]

    The objective of this article is to explore the value of networked foresight: foresight conducted in innovation networks for the benefit of the network and its partners with active contributions from the partners. Strategic management, specifically the dynamic capabilities approach and vast literature on corporate and strategic foresight argue that deficiencies like one-dimensionality, narrow-sightedness and myopia of closed corporate processes are remedied by incorporating external sources. A broad knowledge base promises to especially benefit foresight in multiple ways. Thus, created an analytical framework that integrates the dynamic capabilities approach with existing results on potential value contributions of foresight, enriched with existing findings in networked foresight and organizational design in the light increasing importance of inter-organizational networks. We conducted a series of interviews and a survey among foresight practitioners in a network to explore the perceived value proposition of networked foresight for the network partners and the network itself. The analysis is based on data drawn from the EIT ICT Labs network of large industry corporations, small-and-medium sized companies, and academic and research institutes. Our study shows that network partners use the results primarily for sensing activities, i.e. data collection and to a lesser extend activity initiation. More sensitive and fundamental organizational aspects such as strategy and decision-making or path-dependency are less affected. Especially SMEs may benefit substantially from network approaches to foresight whereas MNEs are more confident in their existing corporate foresight processes and results. The value for the network itself is substantial and goes beyond value creation potential for companies as discussed in literature. The development of a shared vision—relatable to organizational learning and reconfiguration capabilities—was identified as particularly valuable for the network.

  • 36.
    Laaksolahti, Jarmo
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Anticipatory Guidance of Plot2003In: Anticipatory Behavior in Adaptive Learning Systems, Berlin, Heidelberg, New York: Springer Verlag , 2003, 1Chapter in book (Refereed)
  • 37. Lybäck, David
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Agent trade servers in financial exchange systems2004In: ACM Transactions on Internet Technology, ISSN 1533-5399, E-ISSN 1557-6051, Vol. 4, no 3Article in journal (Refereed)
    Abstract [en]

    New services based on the best-effort paradigm could complement the current deterministic services of an electronic financial exchange. Four crucial aspects of such systems would benefit from a hybrid stance: proper use of processing resources, bandwidth management, fault tolerance, and exception handling. We argue that a more refined view on Quality-of-Service control for exchange systems, in which the principal ambition of upholding a fair and orderly marketplace is left uncompromised, would benefit all interested parties.

  • 38. Moore, Heather
    et al.
    Sanches, Pedro
    RISE, Swedish ICT, SICS.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Ethnographies of Practice, Visioning, and Foresight2014Conference paper (Refereed)
  • 39. Moore, Heather
    et al.
    Sanches, Pedro
    RISE, Swedish ICT, SICS.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Ethnographies of Practice, Visioning and Foresight in Future-Oriented Technology Analysis2014Conference paper (Refereed)
  • 40.
    Nylander, Stina
    et al.
    RISE, Swedish ICT, SICS, Software and Systems Engineering Laboratory.
    Bylund, Markus
    RISE - Research Institutes of Sweden, ICT, SICS.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Mobile Access to Real-Time Information - The case of Autonomous Stock Brokering2004In: Personal and Ubiquitous Computing, ISSN 1617-4909, E-ISSN 1617-4917, Vol. 8, no 1, p. 5Article in journal (Refereed)
    Abstract [en]

    When services providing real-time information are accessible from mobile devices, functionality is often restricted and no adaptation of the user interface to the mobile device is attempted. Mobile access to real-time information requires designs for multi-device access and automated facilities for the adaptation of user interfaces. We present TapBroker, a push update service that provides mobile and stationary access to information on autonomous agents trading stocks. TapBroker is developed for the Ubiquitous Interactor system and is accessible from Java Swing user interfaces and Web user interfaces on desktop computers, and from a Java Awt user interface on mobile phones. New user interfaces can easily be added without changes in the service logic.

  • 41.
    Nylander, Stina
    et al.
    RISE, Swedish ICT, SICS, Software and Systems Engineering Laboratory.
    Bylund, Markus
    RISE - Research Institutes of Sweden, ICT, SICS.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Mobile Access to Real-Time Information - The case of Autonomous Stock Brokering2003Report (Other academic)
    Abstract [en]

    If services providing real-time information are accessible from mobile devices, functionality is often restricted and no adaptation of the user interface to the mobile device is attempted. Mobile access to real-time information requires designs for multi-device access and automated facilities for adaptation of user interfaces. We present TapBroker, a push update service that provides mobile and stationary access to information on autonomous agents trading stocks. TapBroker is developed for the Ubiquitous Interactor system and is accessible from Java Swing user interfaces and Web user interfaces on desktop computers, and from a Java Awt user interface on mobile phones. New user interfaces can easily be added without changes in the service logic.

  • 42. Odelstad, Jan
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Algebras for agent norm-regulation2004In: Annals of Mathematics and Artificial Intelligence, ISSN 1012-2443, E-ISSN 1573-7470, Vol. 42, no 1-3, p. 141-166Article in journal (Refereed)
    Abstract [en]

    An abstract architecture for idealized multi-agent systems whose behaviour is regulated by normative systems is developed and discussed. Agent choices are determined partially by the preference ordering of possible states and partially by normative considerations: The agent chooses that act which leads to the best outcome of all permissible actions. If an action is non-permissible depends on if the result of performing that action leads to a state satisfying a condition which is forbidden, according to the norms regulating the multi-agent system. This idea is formalized by defining set-theoretic predicates characterizing multi-agent systems. The definition of the predicate uses decision theory, the Kanger-Lindahl theory of normative positions, and an algebraic representation of normative systems.

  • 43. Saffiotti, Alessandro
    et al.
    Boman, Magnus
    RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Team sweden2001In: RoboCup 2000: Robot Soccer World Cup IV, New York: Springer-Verlag , 2001, 2, , p. 4p. 643-646Chapter in book (Refereed)
    Abstract [en]

    ``Team Sweden'' is the Swedish national team that entered the Sony legged robot league at the RoboCup '99 and RoboCup 2000 competitions. We had two main requirements in mind when preparing our entries: 1. The entry should effectively address the specific challenges present in this domain; in particular, it should be able to tolerate errors and imprecision in perception and execution; and 2. it should illustrate our research in autonomous robotics, by incorporating general techniques that can be reused in different robots and environments. While the first requirement could have been met by writing some ad hoc competition software, the second one led us to develop principled solutions that drew upon our current research in robotics, and that pushed it further ahead.

1 - 43 of 43
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