12 research outputs found
Group decision making via probabilistic belief merging
We propose a probabilistic-logical framework for
group decision-making. Its main characteristic is
that we derive group preferences from agents’ beliefs and utilities rather than from their individual
preferences as done in social choice approaches.
This can be more appropriate when the individual
preferences hide too much of the individuals’ opinions that determined their preferences. We introduce three preference relations and investigate the
relationships between the group preferences and in-dividual and subgroup preferences
Graph-based reasoning in collaborative knowledge management for industrial maintenance
Capitalization and sharing of lessons learned play an essential role in managing the activities of industrial systems. This is particularly the case for the maintenance management, especially for distributed systems often associated with collaborative decision-making systems. Our contribution focuses on the formalization of the expert knowledge required for maintenance actors that will easily engage support tools to accomplish their missions in collaborative frameworks. To do this, we use the conceptual graphs formalism with their reasoning operations for the comparison and integration of several conceptual graph rules corresponding to different viewpoint of experts. The proposed approach is applied to a case study focusing on the maintenance management of a rotary machinery system
A Conceptual Model for User-system Collaboration: Enhancing Usability of Complex Information Systems
A variety of organizations around the world use complex information systems (e.g., enterprise resource planning and supply chain management systems). However, poor usability caused by system complexity continues to frustrate users and damage the reputation of these systems. In this study, we address usability issues with complex information systems from the human-computer collaboration perspective by modeling user-system interaction as a joint activity between the system and its users. We propose a conceptual model for user-system collaboration, elaborate on the components in the model and the relationships between the components, derive the required capabilities for collaborative information systems, and establish conceptual relationships between system collaborative behaviors and usability. We use empirical evidence gathered from a qualitative field study on ERP systems to illustrate the model and the possible impact of system collaborativeness (i.e., the presence or absence of collaborative capabilities) on usability. We do so to provide a strong conceptual foundation for modeling user-system collaboration and to encourage designers to employ the collaboration metaphor during system design and, thus, help them develop future complex information systems with better usability
Collaborative decision making in complex work settings: a process of managing inter dependencies
There exists disparity between the conceptualization and occurrence of Collaborative Decision Making (CDM) in everyday work activities of complex work settings. Current notions in the field of Computer Supported Cooperative Work (CSCW) based on studies of decision making in groups typically portray CDM as an isolated event in which multiple personnel jointly undertake decision making. In the real world, however, decisions are made during work performance and interlaced with other processes and activities. Moreover, the complex work setting is a cooperative arrangement in which decision making is distributed. This research aims to alleviate the disparity by investigating how people in a complex working environment make decisions collaboratively. The original contribution to knowledge made by this thesis is the theory of CDM as a process of managing interdependencies.
Field-studies conducted in an airport to examine the way CDM is undertaken during Air Traffic Control operations inform theory development. The study takes a qualitative approach and is guided by Grounded Theory Methodology (GTM). The findings of this research indicate that undertaking decision making in the cooperative arrangement of complex work settings requires managing the distributions and interconnections inherent in this setup. In addition, participation and contribution of personnel in decision making is found to be structured by the dependencies between their activities. These findings form the central focus of the theory leading to the depiction of CDM as a process of managing interdependencies.
The theory presented in this thesis clarifies and extends existing views by explicating the differentiated process of CDM in the cooperative arrangement of a complex work setting. Based on this a new definition of CDM is formulated. In addition, a conceptual framework of ten parameters is derived to serve as a tool for analysing CDM taking place in a particular work setting. Application of this framework is demonstrated by analysing an aircraft accident report to draw insights about the occurrence of CDM in this setting
Influences on aircraft target off-block time prediction accuracy
With Airport Collaborative Decision Making (A-CDM) as a generic concept of
working together of all airport partners, the main aim of this research project was to
increase the understanding of the Influences on the Target Off-Block Time (TOBT)
Prediction Accuracy during A-CDM. Predicting the TOBT accurately is important,
because all airport partners use it as a reference time for the departure of the flights after
the aircraft turn-round. Understanding such influencing factors is therefore not only
required for finding measures to counteract inaccurate TOBT predictions, but also for
establishing a more efficient A-CDM turn-round process.
The research method chosen comprises a number of steps. Firstly, within the
framework of a Cognitive Work Analysis, the sub-processes as well as the information
requirements during turn-round were analysed. Secondly, a survey approach aimed at
finding and describing situations during turn-round that are critical for TOBT adherence
was pursued. The problems identified here were then investigated in field observations
at different airlines’ operation control rooms. Based on the findings from these previous
steps, small-scale human-in-the-loop experiments were designed aimed at testing
hypotheses about data/information availability that influence TOBT predictability. A
turn-round monitoring tool was developed for the experiments.
As a result of this project, the critical chain of turn-round events and the decisions
necessary during all stages of the turn-round were identified. It was concluded that
information required but not shared among participants can result in TOBT inaccuracy
swings. In addition, TOBT predictability was shown to depend on the location of the
TOBT turn-round controller who assigns the TOBT: More reliable TOBT predictions
were observed when the turn-round controller was physically present at the aircraft.
During the experiments, TOBT prediction could be improved by eight minutes, if
available information was cooperatively shared ten minutes prior turn-round start
between air crews and turn-round controller; TOBT prediction could be improved by 15
minutes, if additional information was provided by ramp agents five minutes after turnround
start
Organization based multiagent architecture for distributed environments
[EN]Distributed environments represent a complex field in which applied solutions should be flexible and include significant adaptation capabilities. These environments are related to problems where multiple users and devices may interact, and where simple and local solutions could possibly generate good results, but may not be effective with regards to use and interaction.
There are many techniques that can be employed to face this kind of problems, from CORBA to multi-agent systems, passing by web-services and SOA, among others. All those methodologies have their advantages and disadvantages that are properly analyzed in this documents, to finally explain the new architecture presented as a solution for distributed environment problems.
The new architecture for solving complex solutions in distributed environments presented here is called OBaMADE: Organization Based Multiagent Architecture for Distributed Environments. It is a multiagent architecture based on the organizations of agents paradigm, where the agents in the architecture are structured into organizations to improve their organizational capabilities.
The reasoning power of the architecture is based on the Case-Based Reasoning methology, being implemented in a internal organization that uses agents to create services to solve the external request made by the users.
The OBaMADE architecture has been successfully applied to two different case studies where its prediction capabilities have been properly checked. Those case studies have showed optimistic results and, being complex systems, have demonstrated the abstraction and generalizations capabilities of the architecture.
Nevertheless OBaMADE is intended to be able to solve much other kind of problems in distributed environments scenarios. It should be applied to other varieties of situations and to other knowledge fields to fully develop its potencial.[ES]Los entornos distribuidos representan un campo de conocimiento complejo en el que las soluciones a aplicar deben ser flexibles y deben contar con gran capacidad de adaptación. Este tipo de entornos está normalmente relacionado con problemas donde varios usuarios y dispositivos entran en juego. Para solucionar dichos problemas, pueden utilizarse sistemas locales que, aunque ofrezcan buenos resultados en términos de calidad de los mismos, no son tan efectivos en cuanto a la interacción y posibilidades de uso.
Existen múltiples técnicas que pueden ser empleadas para resolver este tipo de problemas, desde CORBA a sistemas multiagente, pasando por servicios web y SOA, entre otros. Todas estas mitologías tienen sus ventajas e inconvenientes, que se analizan en este documento, para explicar, finalmente, la nueva arquitectura presentada como una solución para los problemas generados en entornos distribuidos.
La nueva arquitectura aquí se llama OBaMADE, que es el acrónimo del inglés Organization Based Multiagent Architecture for Distributed Environments (Arquitectura Multiagente Basada en Organizaciones para Entornos Distribuidos). Se trata de una arquitectura multiagente basasa en el paradigma de las organizaciones de agente, donde los agentes que forman parte de la arquitectura se estructuran en organizaciones para mejorar sus capacidades organizativas.
La capacidad de razonamiento de la arquitectura está basada en la metodología de razonamiento basado en casos, que se ha implementado en una de las organizaciones internas de la arquitectura por medio de agentes que crean servicios que responden a las solicitudes externas de los usuarios.
La arquitectura OBaMADE se ha aplicado de forma exitosa a dos casos de estudio diferentes, en los que se han demostrado sus capacidades predictivas. Aplicando OBaMADE a estos casos de estudio se han obtenido resultados esperanzadores y, al ser sistemas complejos, se han demostrado las capacidades tanto de abstracción como de generalización de la arquitectura presentada.
Sin embargo, esta arquitectura está diseñada para poder ser aplicada a más tipo de problemas de entornos distribuidos. Debe ser aplicada a más variadas situaciones y a otros campos de conocimiento para desarrollar completamente el potencial de esta arquitectura
3D-in-2D Displays for ATC.
This paper reports on the efforts and accomplishments
of the 3D-in-2D Displays for ATC project at the end of Year 1.
We describe the invention of 10 novel 3D/2D visualisations that
were mostly implemented in the Augmented Reality ARToolkit.
These prototype implementations of visualisation and interaction
elements can be viewed on the accompanying video. We have
identified six candidate design concepts which we will further
research and develop. These designs correspond with the early
feasibility studies stage of maturity as defined by the NASA
Technology Readiness Level framework. We developed the
Combination Display Framework from a review of the literature,
and used it for analysing display designs in terms of display
technique used and how they are combined. The insights we
gained from this framework then guided our inventions and the
human-centered innovation process we use to iteratively invent.
Our designs are based on an understanding of user work
practices. We also developed a simple ATC simulator that we
used for rapid experimentation and evaluation of design ideas.
We expect that if this project continues, the effort in Year 2 and 3
will be focus on maturing the concepts and employment in a
operational laboratory settings
Multi-Agent Systems
A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. Multi-agent systems have been brought up and used in several application domains