Mihaela Ulieru

A Socio-Physical Approach to Systemic Risk Reduction in Emergency Response and Preparedness

IEEE transactions on systems, man, and cybernetics, Aug 1, 2015

This paper proposes a socio-physical approach that considers jointly the interaction and integrat... more This paper proposes a socio-physical approach that considers jointly the interaction and integration of the social and physical views of a system to improve emergency response and preparedness. Using network analysis, it is shown that the explicit socio-physical approach yields meaningful qualitative and quantitative differences when compared with approaches that focus on the social and physical views in isolation. The benefits of this proposed approach are illustrated on a case study using clustering analysis and a proof-of-concept simulation. This new approach leads to risk reduction by enabling a more informed and coordinated response strategy following an incident and a better identification of possible consequences and preparation strategies prior to an incident.

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Fuzzy Logik für die Diagnose

Fuzzy logic in diagnosis: possibilistic networks

Blockchain 2.0 and Beyond: Adhocracies

New economic windows, 2016

This concluding chapter offers a book synopsis. Parsing the chapters which follow the evolution o... more This concluding chapter offers a book synopsis. Parsing the chapters which follow the evolution of decentralized platforms from initial attempts at peer to peer lending and crowdfunding to new market dynamics enabled by blockchain rooted, smart contract fueled P2P platforms-we reveal the ultimate quest in deploying this social technology for building new economies. Keywords Synopsis ⋅ P2P platforms evolution ⋅ Social technology ⋅ New economy ⋅ Self-organizing communities ⋅ Adhocracies ⋅ Catallaxies Current institutional structures are drastically challenged by the rate of change of society, technology and the environment which far outstrips their capacity to adapt. Governments and international organizations are losing their legitimacy to competition from entirely new structures of collective action emerging from adhocracies, aka self-organising Information Communication Technologies (ICT)-enabled groups and communities (Ulieru 2014). We consider four key factors fuelling institutional change under the above mentioned disruptions. Firstly, that individuals, ICT-enabled devices and conventional institutions are now deeply entangled. Secondly, that is it possible to equip those devices with social intelligence to be equal participants in society . Thirdly, that out of the entanglement and the intelligence, new dynamical structures emerge which are more responsive, have greater agility and are less prone to path dependency and this socio-technical entanglement can lead to the emergence of high quality constructive social processes (Ulieru and Doursat 2011). And finally, that people still retain the power to self-organise these structures and self-regulate their behaviour in the context of these structures according to agreed rules (Chase 2015). The book features pioneering attempts at deploying new economic models which move the field from describing monetary flows to understanding complex social processes that underlie the dynamics of the economy. It begins by describing M. Ulieru ( ✉ )

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Special Issue on Digital Ecologies

IEEE transactions on systems, man, and cybernetics, Nov 1, 2010

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Architecting the eSociety on Blockchain: A Provocation to Human Nature

Social Science Research Network, 2017

INDIN 2003 : International Conference on Industrial Informatics : proceedings : August 21-24, 2003, Banff, Alberta, Canada

IEEE eBooks, 2003

Processing Fault-Trees by Approximate Reasoning in Solving the Technical Diagnostic Problem(A Possibilistic Diagnostic Decision-Making Method)

IFAC Proceedings Volumes, Jul 1, 1993

Abstract The work may be viewed as a qualitative jump from the use of artificial intelligence (AI... more Abstract The work may be viewed as a qualitative jump from the use of artificial intelligence (AI) techniques to that of fuzzy logic based methods in the design of diagnost expert systems. In response to the classical AI approaches of solving the technical diagnostic problem by forward and backward processing causality propagation through a probabilistic knowledge tree, a fuzzy logic - based approach is proposed which is able to overcome the main disadvantages of the AI approaches. The main steps of the diagnostic methodology are briefly exposed in the following. A-priori a symptoms-faults fuzzy interrelational diagnostic. model is OFF-LINE designed as a basis for the diagnostic reasoning. The acquired diagnostic information is first organized in diagnostic causal networks. These, via a fuzzification procedure are transformed in diagnostic relevant networks (DRN) . By compressing via fuzzy composition the information from the DRNs the diagnostic model is obtained and encoded within the knowledge base as a collection of fuzzy IF-THEN rules. The inference mechanism performes ON-LINE diagnosis in two steps. First by approximate reasoning on the fuzzy diagnostic model with the detected values of the symptoms the model is adapted to the current diagnostic situation. Then, by aggregating its information according to the connectives of the URNs, the adapted diagnostic model is compressed to a vector containing fault possibilities. As fault candIdates the ones with the maximal fault possibilities are considered by being validated via generalized modus tollens. The proposed diagnostic methodology is developed on a very simple example for a DC motor.

Addressing the challenges of eNetwork cyberengineering

ABSTRACT Vis-a-vis the state-of-the-art we illustrate how our approach to opportunistic communica... more

Approximate Reasoning Approaches for Diagnostic Decision

IFAC Proceedings Volumes, Jun 1, 1994

Abstract A unified frame for analysis of the approximate reasoning approaches to diagnostic decis... more Abstract A unified frame for analysis of the approximate reasoning approaches to diagnostic decision is designed aiming to clarify their accomplishments (from a neutral position). The equivalence probabilistic ⇔ possibilistic formalizations under the conditions of perfect evidence is proven. A comparison of the abilities of each approach to cope with the requirements of the diagnostic task suggests the possibilistic approach as more adequate.

Dutch Emergency Response Organization: Safety Region—Quantitative Approach to Operational Resilience

Complex and enterprise systems engineering series, Jun 23, 2014

ABSTRACT Currently emergency response organizations face tough challenges caused by nature; techn... more ABSTRACT Currently emergency response organizations face tough challenges caused by nature; technology or man. Many threats are fully capable of disrupting society on a local, national or global scale. To cope adequately with these challenges and threats emergency response organizations should possess the right structure so a minimum amount of (long term) disruption of society may be achieved. This structure may be defined by resilience or more precisely Operational Resilience also known as Organizational Resilience. This chapter defines and quantifies Operational Resilience in relation to a Dutch Emergency Response Service: a “Safety Region” where the Safety Region acts during a crisis as a System of Systems (SoS). The case study involves a major incident in The Netherlands in 2011 (an industrial and chemical blaze) and its response by the emergency services with respect to Resilience and as a System of Systems.

A Fuzzy Mathematics Approach to Modeling Emergent Holonic Structures

ABSTRACT

Engineering Industrial Ecosystems in a Networked World

2007 5th IEEE International Conference on Industrial Informatics, 2007

Abstract-We underline the co-evolutionary progress from collaborative automation to the extended ... more

SC-Web-CS: Supply Chain Web-Centric Systems

Proc IASTED International …, 2000

This paper proposes a generic framework, SC-web-CS, for the development of next generation web-ce... more

Integrated Soft Computing Methodology for Diagnosis and Prediction With Application to Glaucoma Risk Evaluation

… of 6th IASTED International Conference on …, 2002

INTEGRATED SOFT COMPUTING METHODOLOGY FOR DIAGNOSIS AND PREDICTION WITH APPLICATION TO GLAUCOMA R... more

The Holonic Enterprisea Model for Internet-Enabled Global Supply Chain and Workflow Management

International Journal of Integrated Manufacturing …, 2002

Lessons from the past for the future Internet

We believe the clamour to throw away our well managed stable and reliable time division multiplex... more We believe the clamour to throw away our well managed stable and reliable time division multiplexing (TDM) in favour of collision based networks, meaning code division multiplexing in the case of wireless and unmanaged packets in the case of wireline, is a serious mistake. Before we finally throw away a network that works so well, we are researching the use

Evolving the ‘DNA blueprint’ of eNetwork middleware to control resilient and efficient Cyber-Physical Ecosystems

The Internet of the future will be a nervous system for the entire economy, integrating 'opportun... more The Internet of the future will be a nervous system for the entire economy, integrating 'opportunistic ecosystems' of single devices / departments / enterprises into a larger and more complex infrastructure which we refer to as 'Cyber-Physical Ecosystem' (CPE). In the CPE, the individual properties or attributes of single entities will be dynamically combined to achieve an emergent desired behavior of the ecosystem. It is extremely hard -if not impossible -to control large scale CPE by building a global logic 'top-down' system able to rapidly adapt to changes by instructing each element what to do at each step. Using the latest knowledge of complexity science, we aim to develop a methodological framework for designing large scale CPE capable of generating resilient and scalable structure from the 'bottom-up' by evolving self-organized basic architectural component 'cells.' These cells will be adaptively crafted through dynamic protocols enabling service composition into novel architectural components. The statistical properties displayed by the underlying network structure of the complex distributed system reveals the appropriate parameters on which efficient reliable operation depends. The parameters will be tuned using the dynamical network model of the CPE co-evolved with an 'eNetwork middleware' embedded into the complex system's fabric similar to how DNA molds the fundamental cells in natural systems such that they can evolve to accommodate gradual or abrupt change in the environment or internal operating conditions. Validation on the stateof-the-art testbed recently deployed in the Adaptive Risk Management Lab at UNB enable proof of concept opening the door to applications that will revolutionize several areas of crucial importance,

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A Complex Systems Approach to the Design and Evaluation of Holistic Security Ecosystems

Springer eBooks, 2012

A conceptual model for the design and evaluation of Holistic Security Ecosystems is introduced to... more A conceptual model for the design and evaluation of Holistic Security Ecosystems is introduced together with a proof of concept test bed for exploring the social, cognitive, geographic and informational dynamics in the emergence of such large scale interdependent meta-organizations. The model is based on recent developments of the holonic paradigm of cross-organizational workflow coordination and decision making. Focused on the dynamic, on-the-fly creation of targeted, short-lived meta-organizations that work towards achieving a common goal (crisis resolution) the model guarantees optimal coordination and decision making at various levels of resolution across the holarchic levels of the organization.

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Evolving the 'DNA blueprint' of eNetwork Middleware to Control Resilient and Efficient Cyber-Physical Ecosystems

The Internet of the future will be a nervous system for the entire economy, integrating 'opportun... more The Internet of the future will be a nervous system for the entire economy, integrating 'opportunistic ecosystems' of single devices / departments / enterprises into a larger and more complex infrastructure which we refer to as 'Cyber-Physical Ecosystem' (CPE). In the CPE, the individual properties or attributes of single entities will be dynamically combined to achieve an emergent desired behavior of the ecosystem. It is extremely hard -if not impossible -to control large scale CPE by building a global logic 'top-down' system able to rapidly adapt to changes by instructing each element what to do at each step. Using the latest knowledge of complexity science, we aim to develop a methodological framework for designing large scale CPE capable of generating resilient and scalable structure from the 'bottom-up' by evolving self-organized basic architectural component 'cells.' These cells will be adaptively crafted through dynamic protocols enabling service composition into novel architectural components. The statistical properties displayed by the underlying network structure of the complex distributed system reveals the appropriate parameters on which efficient reliable operation depends. The parameters will be tuned using the dynamical network model of the CPE co-evolved with an 'eNetwork middleware' embedded into the complex system's fabric similar to how DNA molds the fundamental cells in natural systems such that they can evolve to accommodate gradual or abrupt change in the environment or internal operating conditions. Validation on the stateof-the-art testbed recently deployed in the Adaptive Risk Management Lab at UNB enable proof of concept opening the door to applications that will revolutionize several areas of crucial importance,

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