A multi-agent system to support location based group decision making in mobile teams

This paper describes an agent-based approach for developing a location-based asynchronous group decision-support system for mobile teams. The approach maximises the use of reusable service components (GSCmas — generic service component for multi-agent systems) as the main interaction mechanism between agents to allow flexible support of a new group-decision process. The paper describes the architecture of a GSCmas and provides details of how the GSCmas is integrated within a decision support system. Finally a system (mPower) based on the proposed approach is introduced and applied to a location-based group decision problem

Peer to Peer: At the Heart of Influencing More Effective Philanthropy

The William and Flora Hewlett Foundation has had a long-standing commitment to increasing the effectiveness of grantmaking organizations, a commitment reflected in its Philanthropy Grantmaking Program. In 2015, the Foundation commissioned Harder+Company Community Research, in partnership with Edge Research, to conduct a field scan to inform its own strategies in this area as well as those of other organizations working to increase philanthropic effectiveness. Drawing on data from multiple sources, the field scan identified which knowledge sources and formats are most likely to be accessed by funders, how that knowledge is assessed by its users, and the ways in which knowledge is used to shape the practice of philanthropy

Work Organisation and Innovation in Ireland

[Excerpt] Innovations in work organisation have the potential to optimise production processes in companies and improve employees’ overall experience of work. This report explores the links between innovations in work organisation – under the broader label of high performance work practices (HPWPs) – and the potential benefits for both employees and organisations. It draws on empirical evidence from three case studies carried out in the Republic of Ireland, where workplace innovations have resulted in positive outcomes and where social partners played a significant role in their design and development

Social Dialogue for Decent Work

[Excerpt] This paper aims to develop usable indicators of the concept of social dialogue, as part of the ILO\u27s effort to develop operational measures of Decent Work. Section 1 examines the concept of social dialogue. Section 2 looks at past approaches to measuring social dialogue. Section 3 discusses what we have learned from past approaches and the implications for developing indicators and collecting data. Section 4 describes and justifies the proposed indicators. Section 5 concludes the paper with a discussion of the implications of this methodology for practice, and an examination of the costs

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. A survey of NLG is timely in view of the changes that the field has undergone over the past decade or so, especially in relation to new (usually data-driven) methods, as well as new applications of NLG technology. This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of relatively recent research topics that have arisen partly as a result of growing synergies between NLG and other areas of artificial intelligence; (c) draw attention to the challenges in NLG evaluation, relating them to similar challenges faced in other areas of Natural Language Processing, with an emphasis on different evaluation methods and the relationships between them.Comment: Published in Journal of AI Research (JAIR), volume 61, pp 75-170. 118 pages, 8 figures, 1 tabl