151,176 research outputs found
MEDIATOR: TOWARDS A NEGOTIATION SUPPORT SYSTEM
MEDIATOR is a negotiation support system (NSS) based on
evolutionary systems design (ESD) and database-centered implementation.
It supports negotiations by consensus seeking through exchange of
information and, where consensus is incomplete, by compromise. The
negotiation problem is shown --graphically or as relational data in
matrix form-- in three spaces as a mapping from control space to goal
space (and through marginal utility functions) to utility space. Within
each of these spaces the negotiation process is characterized by
adaptive change, i.e., mappings of group target and feasible sets by
which these sets are redefined in seeking a solution characterized by a
single-point intersection between them.
This concept is being implemented in MEDIATOR, a data-based micro-mainframe
NSS intended to support the players and a human mediator in
multi-player decision situations. Each player employs private and
shared database views, using his/her own micro-computer decision support
system enhanced with a communications manager to interact with the
mediator DSS. Sharing of views constitutes exchange of information
which can lead towards consensus. The human mediator can support
compromise, as needed, through use of solution concepts and/or
concession-making procedures in the NSS model base. As a concrete
example, we demonstrate the use of the system for group car buying
decisions.Information Systems Working Papers Serie
MEDIATOR: TOWARDS A NEGOTIATION SUPPORT SYSTEM
MEDIATOR is a negotiation support system (NSS) based on
evolutionary systems design (ESD) and database-centered implementation.
It supports negotiations by consensus seeking through exchange of
information and, where consensus is incomplete, by compromise. The
negotiation problem is shown --graphically or as relational data in
matrix form-- in three spaces as a mapping from control space to goal
space (and through marginal utility functions) to utility space. Within
each of these spaces the negotiation process is characterized by
adaptive change, i.e., mappings of group target and feasible sets by
which these sets are redefined in seeking a solution characterized by a
single-point intersection between them.
This concept is being implemented in MEDIATOR, a data-based micro-mainframe
NSS intended to support the players and a human mediator in
multi-player decision situations. Each player employs private and
shared database views, using his/her own micro-computer decision support
system enhanced with a communications manager to interact with the
mediator DSS. Sharing of views constitutes exchange of information
which can lead towards consensus. The human mediator can support
compromise, as needed, through use of solution concepts and/or
concession-making procedures in the NSS model base. As a concrete
example, we demonstrate the use of the system for group car buying
decisions.Information Systems Working Papers Serie
Co-management: A Synthesis of the Lessons Learned from the DFID Fisheries Management Science Programme
For the last eleven years, the UK Department for International Development (DfID) have been funding research projects to support the sustainable management of fisheries resources (both inland and marine) in developing countries through the Fisheries Management Science Programme (FMSP). A number of these projects that have been commissioned in this time have examined fisheries co-management. While these projects have, for the most part, been implemented separately, the FMSP has provided an opportunity to synthesise and draw together some of the information generated by these projects. We feel that there is value in distilling some of the important lessons and describing some of the useful tools and examples and making these available through a single, accessible resource. The wealth of information generated means that it is impossible to cover everything in detail but it is hoped that this synthesis will at least provide an overview of the co-management process together with some useful information relating to implementing co-management in a developing country context and links to the more detailed re-sources available, in particular on information systems for co-managed fisheries, participatory fish stock assessment (ParFish) and adaptive learning that have, in particular, been drawn upon for this synthesis. This synthesis is aimed at anyone interested in fisheries management in a developing country context
Towards adaptive multi-robot systems: self-organization and self-adaptation
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.The development of complex systems ensembles that operate in uncertain environments is a major challenge. The reason for this is that system designers are not able to fully specify the system during specification and development and before it is being deployed. Natural swarm systems enjoy similar characteristics, yet, being self-adaptive and being able to self-organize, these systems show beneficial emergent behaviour. Similar concepts can be extremely helpful for artificial systems, especially when it comes to multi-robot scenarios, which require such solution in order to be applicable to highly uncertain real world application. In this article, we present a comprehensive overview over state-of-the-art solutions in emergent systems, self-organization, self-adaptation, and robotics. We discuss these approaches in the light of a framework for multi-robot systems and identify similarities, differences missing links and open gaps that have to be addressed in order to make this framework possible
Informal Online Decision Making: Current Practices and Support System Design
Existing group decision support systems are too complex to support lightweight, informal decision making made popular by the amount of information available on the Web. From an examination of related work, an online survey and a formative study to examine how people currently use the Web for decision support, we present a set of design recommendations towards the development of an informal Web decision support tool
Why Invest in Collaborative Leadership Development? Summary Report
The Casey Foundation values skillful leadership in creating sustained social change. The Foundation partnered with the University of Maryland, School of Public Policy in sculpting a new approach to match leadership ability with constructive results for children, families and communities -- a collaborative leadership style for complex social issues. Readers, especially other foundations and nonprofit investors, get a look at the findings, lessons learned and recommendations from three years of collaborative leadership capacity-building effort
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