9,970 research outputs found
Towards Verifiably Ethical Robot Behaviour
Ensuring that autonomous systems work ethically is both complex and
difficult. However, the idea of having an additional `governor' that assesses
options the system has, and prunes them to select the most ethical choices is
well understood. Recent work has produced such a governor consisting of a
`consequence engine' that assesses the likely future outcomes of actions then
applies a Safety/Ethical logic to select actions. Although this is appealing,
it is impossible to be certain that the most ethical options are actually
taken. In this paper we extend and apply a well-known agent verification
approach to our consequence engine, allowing us to verify the correctness of
its ethical decision-making.Comment: Presented at the 1st International Workshop on AI and Ethics, Sunday
25th January 2015, Hill Country A, Hyatt Regency Austin. Will appear in the
workshop proceedings published by AAA
Developing an agent-based simulation model of software evolution
Context In attempt to simulate the factors that affect the software evolution behaviour and possibly predict it, several simulation models have been developed recently. The current system dynamic (SD) simulation model of software evolution process was built based on actor-network theory (ANT) of software evolution by using system dynamic environment, which is not a suitable environment to reflect the complexity of ANT theory. In addition the SD model has not been investigated for its ability to represent the real-world process of software evolution. Objectives This paper aims to re-implements the current SD model to an agent-based simulation environment âRepastâ and checks the behaviour of the new model compared to the existing SD model. It also aims to investigate the ability of the new Repast model to represent the real-world process of software evolution. Methods a new agent-based simulation model is developed based on the current SD model's specifications and then tests similar to the previous model tests are conducted in order to perform a comparative evaluation between of these two results. In addition an investigation is carried out through an interview with an expert in software development area to investigate the model's ability to represent real-world process of software evolution. Results The Repast model shows more stable behaviour compared with the SD model. Results also found that the evolution health of the software can be calibrated quantitatively and that the new Repast model does have the ability to represent real-world processes of software evolution. Conclusion It is concluded that by applying a more suitable simulation environment (agent-based) to represent ANT theory of software evolution, that this new simulation model will show more stable bahaviour compared with the previous SD model; And it will also shows the ability to represent (at least quantatively) the real-world aspect of software evolution.Peer reviewedFinal Accepted Versio
A conceptual model for the development of CSCW systems
Models and theories concerning cooperation have long been recognised as an important aid in the development of Computer Supported Cooperative Work (CSCW) systems. However, there is no consensus regarding the set of concepts and abstractions that should underlie such models and theories. Furthermore, common patterns are hard to discern in different models and theories. This paper analyses a number of existing models and theories, and proposes a generic conceptual framework based on the strengths and commonalities of these models. We analyse five different developments, viz., Coordination Theory, Activity Theory, Task Manager model, Action/Interaction Theory and Object-Oriented Activity Support model, to propose a generic model based on four key concepts common to these developments, viz. activity, actor, information and service
Towards collaborative learning via shared artefacts over the Grid
The Web is the most pervasive collaborative technology in widespread use today; and its use to support
eLearning has been highly successful. There are many web-based Virtual Learning Environments such as
WebCT, FirstClass, and BlackBoard as well as associated web-based Managed Learning Environments. In
the future, the Grid promises to provide an extremely powerful infrastructure allowing both learners and
teachers to collaborate in various learning contexts and to share learning materials, learning processes,
learning systems, and experiences. This position paper addresses the role of support for sharing artefacts
in distributed systems such as the Grid. An analogy is made between collaborative software development
and collaborative learning with the goal of gaining insights into the requisite support for artefact sharing
within the eLearning community
Socio-technical transition pathways and social networks: a toolkit for empirical innovation studies
In this note we investigate socio-technical transition pathways concentrating our attention on innovation niches formations. Specifically, we present a methodological conceptualization of innovation-niches and propose a preliminary protocol, based on a Social Network Analysis (SNA), aiming to capture and measure the internal status of niches. The suggested protocol provides a toolkit with insights on three SN concepts which can be used to study and measure the evolution process of technological niches. This allowed us to suggest a set of possible policy actions, which derives directly from the conceptualisation of innovation-niches propose in this paper. Although preliminary, we believe this study represents an important step in a much-needed direction, which is science-policy interface in socio-technical transition studies.socio-technical transition, innovation, social network analysis, science-policy interface
Intelligent student engagement management : applying business intelligence in higher education
Advances in emerging ICT have enabled organisations to develop innovative ways to intelligently collect data that may not be possible before. However, this leads to the explosion of data and unprecedented challenges in making strategic and effective use of available data. This research-in-progress paper presents an action research focusing on applying business intelligence (BI) in a UK higher education institution that has developed a student engagement tracking system (SES) for student engagement management. The current system serves merely as a data collection and processing system, which needs significant enhancement for better decision support. This action research aims to enhance the current SETS with BI solutions and explore its strategic use. The research attempts to follow socio-technical approach in its effort to make the BI application a success. Progress and experience so far has revealed interesting findings on advancing our understanding and research in organisation-wide BI for better decision-making
Managing healthcare workflows in a multi-agent system environment
Whilst Multi-Agent System (MAS) architectures appear to offer a more flexible model for designers and developers of complex, collaborative information systems, implementing real-world business processes that can be delegated to autonomous agents is still a relatively difficult task. Although a range of agent tools and toolkits exist, there still
remains the need to move the creation of models nearer to code generation, in order that the development path be more rigorous and repeatable. In particular, it is essential that complex organisational
process workflows are captured and expressed in a way that MAS can successfully interpret. Using a complex social care system as an exemplar, we describe a technique whereby a business process is
captured, expressed, verified and specified in a suitable format for a healthcare MAS.</p
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