While the facilitated modelling literature recognises the importance of the group process within facilitated modelling workshops, published empirical research rarely examines their dynamic nature. In this paper, we address this gap in the literature in two ways. First, we propose to locate facilitated modelling workshops as the main focus of investigation, and adopt decision development as the ...

Public health responses to HIV epidemics have long relied on epidemiological modelling analyses to help prospectively project and retrospectively estimate the impact, cost-effectiveness, affordability, and investment returns of interventions, and to help plan the design of evaluations. But translating model output into policy decisions and implementation on the ground is challenged by the diffe...

A virtual mining environment aims to provide dynamic decision support to improve building life-cycle modelling and management. This paper presents the system architecture of a virtual mining environment, its interfaces and a user scenario. This virtual mining environment integrates data mining with agent-based technology, database management systems, object-based CAD systems, and 3D virtual env...

Decisions and actions produced by computer users (observed process) contain much information about their mental models, individual problem solving strategy and underlying decision structure for a given task. Our tool AMME analyses observed processes and automatically extracts a Petri net description of the task dependent decision structure (logical structure). This net is extended by goal setti...

In this paper, an approach to facilitate the treatment with variabilities in system families is presented by explicitly modelling variants. The proposed method of managing variability consists of a variant part, which models variants and a decision table to depict the customisation decision regarding each variant. We have found that it is easy to implement and has advantage over other methods. ...

A recent research project showed that decision-makers with different personality dispositions may display distinct preferences when making decisions. This paper presents a decision support framework which attempts to provide the basis for systems that are capable of adapting to their users based on their personality preferences. The capabilities of adaptation are facilitated through the constru...

Social choice theory is the study of mechanisms for collective decision making. While originally concerned with modelling and analysing political decision making in groups of people, its basic principles, arguably, are equally relevant to modelling and analysing the kinds of interaction taking place in a multiagent system. In support of this position, I review examples from three strands of res...

Human modelling is an interdisciplinary research field. The topic, emotion affected decision making, was originally a cognitive psychology issue, but now has been recognized as an important research direction for computer science, biomedical modelling, etc. To fill the gap between psychology and bioengineering on emotion affected decision making is the main focus of this paper. This paper is ba...