Abstract: This ICIS deliverable concerns the research proposal as accepted by the Radboud University Nijmegen and the DECIS Lab/TRT-NL and the first results of pilot studies regarding the effect of music to influence the mood of participants. The first pilot study revealed that males react differently to music as mood manipulation than females, that is, males are less affected by music as a mood manipulation. The second pilot study was intended to disambiguate the male response from social-unwillingness to discuss their mood versus no effect at all of the music as mood manipulation. The method to measure mood implicitly, however, did not seem to be a reliable measure. However, the explicit measure revealed a difference in negative feelings for both males and females for the two different mood manipulations (happy vs. sad music).
Abstract: The DECIS Lab conducts research on Actor-Agent Communities, especially in the
domain of crisis response and management. The ICIS research program among others
hosts the SEAT (Sustained Effectiveness of Actor Agents Teams) research project in
which the researchers Dr. Niek Wijngaards, Dr. Masja Kempen and Dr. Manuela Viezzer
focus on the effectiveness over time of humans, agents, and teams composed thereof, in
difficult circumstances. Within this research project, theories and models are developed
which need to be tested in crisis situations. Decided was that ultimately a scenario
simulation toolkit is needed and that my project would explore and formulate
requirements for the use of scenarios and specifications of scenario aspects.
This report describes the results of this project. The scenario specification approach is
outlined and the (atomic) actions are described and illustrated in some detail.
Furthermore, this report describes the whole progress of the project. The student also
gives his personal evaluation about the project and the relevance to his education.
This graduation has several topics in which the student’s tasks and contributions lay.
These are each handled in detail further in this report.
• The student has created the game world concept which was based on the results
from the SES project. This resulted in a RDF specification. Details of these
specifications are found in chapter two.
• The student created several scenarios for a select number of researchers. These
scenarios have the intent to validate the researchers’ research and provide them
with some meaningful results. The student also created those scenarios in Game
, which functions as a simulation of the simulator.
• For future use, the student also created guidelines for scenario creation. These
topics can be found in chapter three.
• The student created a requirements document for the development phase of the
scenario toolkit. These requirements can be found in chapter four.
• Most importantly, the student also participated in the development process of the
RISK simulator toolkit, which resulted in consistency in design and construction
and that the original game world concept only received some limited changes.
This resulted in the development of the current version of the toolkit. This topic is
handled in chapter five of this document.
Abstract: The investigations presented in this thesis are part of the 'Integrated Collaborative Information Systems' (ICIS) project, focussing on the 'Enhanced Situation Awareness' (ESA). As a partner in ths project, we investigated the feasibility of using morphologicallt elaborate model neurons to enhance robustness and adaptivity in robotic systems.
Abstract: One of the major ICIS valorization efforts in 2006 concerned the dissemination of ICIS’ results to the Gemeente Borsele (in the Province of Zeeland, The Netherlands). DECIS Lab and Gemeente Borsele have jointly conducted empirical research in the context of a crisis management exercise for Gemeente Borsele. DECIS Lab was involved to set up the crisis management exercise experiment and according measurements regarding an improvement in internal communication at Gemeente Borsele. The major objectives of DECIS Lab (collect crisis data, acquire domain knowledge, discover feasibility) and Gemeente Borsele (improve internal communication, and involve entire internal crisis management organization) were mostly achieved. This report contains our evaluation as a whole together with specific results, as presented to Gemeente Borsele.
Abstract: This research stems from the MOSAIC project, a part of the valorization and knowledge transfer effort of
the Interactive Collaborative Information Systems (ICIS) research programme (http://www.icis.decis.nl/),
supported by the Dutch Ministry of Economic Affairs, grant no.: BSIK03024. ICIS is hosted by the D-CIS
Lab (http://www.decis.nl/), the open research partnership of Thales Nederland, the Delft University of
Technology, the University of Amsterdam and the Netherlands Organization for Applied Scientific
Abstract: Probabilistic graphical models, and in particular Bayesian networks, are nowadays well established as a modeling tool for domains with
uncertainty. A drawback is that large, complex graphical models are intractable for exact computation. Therefore there is a lot of research interest in approximate inference.
The lack of open source "reference" implementations hampers progress in research on approximate inference. Methods differ widely in terms of quality and performance characteristics, which also depend in different ways on various properties of the graphical models. Finding the best approximate inference method for a particular application therefore often requires empirical comparisons. However, implementing and debugging these methods takes a lot of time which could otherwise be spent on research. Therefore we have developed libDAI. libDAI is a free/open source C++ library (licensed under GPL) that provides implementations of various (deterministic) approximate inference methods for discrete graphical models. libDAI supports arbitrary `factor graphs` with discrete variables (this includes discrete Markov Random Fields and Bayesian Networks).
This release is an additional contribution to the LibDAI library. This code implements the Z2 algorithm, a particular way of correcting the Belief Propagation (BP) solution, developed in the ICIS project SNN1 (see Gomez (2009), Approximate inference on planar graphs using Loop Calculus and Belief Propagation).
Abstract: This research report describes an experiment regarding assessing the effectiveness of actor-agent teams within the SEAT project in the CDM cluster in the ICIS research program. This document focuses on the background of actor-agent teaming, and on a methodology to assess the performance of an actor-agent team in comparison with an actor-only team. The experimental design is described together with the measurements and analysis. The results show that the experimental setup using the REsearch and Simulation toolKit(RESK) provides a repeatable construct. The results of the current performance comparison show no large decrement; but also not a large increment in performance. This is mostly due to the current (low) level ofagent complexity, where improvements are needed in communication capabilities and (more) team-oriented helpful behavior.
Abstract: The main objective of this document is to bring together our assumptions, models, definitions and other findings regarding actor-agent teams, and effectiveness thereof. As such, this whitepaper by the SEAT project contains our findings on sustained effectiveness of actor-agent teams of the first half of ICIS research programme. The foundations of our research reported herein are formed by three main topics: actor-agent teams, effectiveness, and methodology. This document contains material to gain insight in the width and scope of actor-agent communities, and should be treated as a starting point for additional research and explorations. These demarcations are necessary to restrict the amount of information and effort to manageable proportions.
Abstract: This report is the first of four documents, which describe the distributed tasking architecture that
has been developed by Thales Research and Technology (UK) Ltd. This architecture has been
developed to test generic tasking and re-tasking policies as part of the Tasking and Re-tasking
sub-project for the Interactive Collaborative Information Systems (ICIS) programme. This report offers: 1) An overview of the entire architecture, focusing on those components that are common
to both distributed and centralised tasking processes
2) Information on the Java services required to run the tasking architecture.
Abstract: This report is the second of four documents, which describe the distributed tasking
architecture that has been developed by Thales Research and Technology (UK) Ltd.
This architecture has been developed to test generic tasking and re-tasking policies as
part of the Tasking and Re-tasking sub-project for the Interactive Collaborative
Information Systems (ICIS) programme. This second document focuses on how objects and interfaces have been implemented
to enable centralised tasking algorithms processes to be utilised in the tasking
architecture. Centralised tasking is a traditional, top down approach to tasking whereby
a centralised actor or agent has access to all information about tasks and resources and
is responsible for making all task allocations.
Abstract: This deliverable is a demonstrator of the preliminary UAV (Unmanned Aerial Vehicle) system software packaged for the control and simulation of mini UAVs. The software package allows actual operation of mini UAVs (under development), hardware in the loop simulation and full simulation.
The demonstrator simulates the flight of four UAVs of the EasyStar type above a virtual compound near Kandahar, Afghanistan. The mission over Afghanistan was inspired by participating in the Frame Game 2006. The software supports missions with true WGS84 (GPS) coordinates around the world when the appropriate maps are provided. At this time the Kandahar map is fully supported but maps of Delft and Braunschweig (Germany) have also been loaded in earlier versions.
This version allows the simulation of the Aero-DPN UAV-Flight. In this scenario the UAV is located at a sports field upwind from the stadium in Lima city (Brussels) where an explosion has taken place. A flightplan can be loaded to guide the UAV along a number of waypoints where radiation measurements will be taken and sent to the DPN software (not part of this bundle, by Gregor Pavlin). This scenario serves to demonstrate how the UAV can be deployed in a crisis scenario and be combined with other ICIS projects software (DPN). In addition to the first release this version better supports the human operator to control the UAV in a flexible manner.