Adaptive resilience of complex safety-critical sociotechnical systems: Toward a unified conceptual framework and its formalization

M Vert, A Sharpanskykh, R Curran - Sustainability, 2021 - mdpi.com
Resilience is commonly understood as the capacity for a system to maintain a desirable
state while undergoing adversity or to return to a desirable state as quickly as possible after …

[HTML][HTML] Modeling the emergence of informational content by adaptive networks for temporal factorisation and criterial causation

J Treur - Cognitive Systems Research, 2021 - Elsevier
Propagated activation of neurons through their network is an important process in the brain.
Another crucial part of neural processing concerns adaptation over time of characteristics of …

Design and validation of a relative trust model

M Hoogendoorn, SW Jaffry, PP Van Maanen… - Knowledge-Based …, 2014 - Elsevier
When considering intelligent agents that interact with humans, having an idea of the trust
levels of the human, for example in other agents or services, can be of great importance …

An ambient agent model for monitoring and analysing dynamics of complex human behaviour

T Bosse, M Hoogendoorn, MCA Klein… - Journal of Ambient …, 2011 - research.vu.nl
In ambient intelligent systems, monitoring of a human could consist of more complex tasks
than merely identifying whether a certain value of a sensor is above a certain threshold …

Formal and computational modeling of anticipation mechanisms of resilience in the complex sociotechnical air transport system

AN Blok, A Sharpanskykh, M Vert - Complex Adaptive Systems Modeling, 2018 - Springer
With ever-growing numbers of passengers and complexity of the air transport system, it
becomes more and more of a challenge to manage the system in an effective, safe, and …

Methods for model-based reasoning within agent-based Ambient Intelligence applications

T Bosse, F Both, C Gerritsen, M Hoogendoorn… - Knowledge-Based …, 2012 - Elsevier
Within agent-based Ambient Intelligence applications agents react to humans based on
information obtained by sensoring and their knowledge about human functioning …

Modelling biased human trust dynamics

M Hoogendoorn, SW Jaffry… - Web Intelligence and …, 2013 - content.iospress.com
Within human trust related behaviour, according to the literature from the domains of
Psychology and Social Sciences often non-rational behaviour can be observed. Current …

How the brain creates emergent information by the development of mental models: an analysis from the perspective of temporal factorisation and criterial causation

J Treur - Mental Models and Their Dynamics, Adaptation, and …, 2022 - Springer
Mental models usually are considered to represent a form of information or knowledge about
situations or processes in the world or about mental states and processes in humans. In this …

A computational model for dynamics of desiring and feeling

T Bosse, M Hoogendoorn, ZA Memon, J Treur… - Cognitive Systems …, 2012 - Elsevier
In this paper a computational model is presented for how a desire triggers responses and
feelings. The model shows how these feelings can be biased, for example due to addicting …

Grouping behaviour in AmI-enabled crowd evacuation

A Sharpanskykh, K Zia - … Symposium on Ambient Intelligence (ISAmI 2011 …, 2011 - Springer
Grouping behaviour occurs often in crowd evacuation. On the one hand, groups are needed
for efficient evacuation. On the other hand, large uncontrolled groups (herds) may cause …