2010
DOI: 10.1017/s0890060410000156
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Using contexts to supervise a collaborative process

Abstract: This article describes an investigation into the feasibility of using contextual reasoning to monitor and supervise the collaborative work of several knowledge workers working together on a project. Managing large and complex projects is a difficult task that requiressituational awarenessby the project manager to be able to be proactive when possible and to react correctly in the presence of events. In complex projects, effective oversight of the project personnel and the progress of the project are essential … Show more

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Cited by 20 publications
(9 citation statements)
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“…Therefore, the context based counselor agent [9] was proposed. It holds three features, namely (1) trust buildup, (2) ELIZA-like mirroring, and (3) context based reasoning [12] according to the dynamic change of situations and goals [10].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, the context based counselor agent [9] was proposed. It holds three features, namely (1) trust buildup, (2) ELIZA-like mirroring, and (3) context based reasoning [12] according to the dynamic change of situations and goals [10].…”
Section: Related Workmentioning
confidence: 99%
“…This agent replies with (1) ELIZA-like paraphrases but followed by (2) context respectful refinement prompts to narrow contexts or clarify problems such as "tell me more in detail". The reasoning process is based on the dynamic change of situations/ goals and is implemented using a Context-Based Reasoning (CBR) mechanism [10].…”
Section: Introductionmentioning
confidence: 99%
“…Then, we feed this XML context base to an efficient Context-based Reasoning (CxBR) engine. CxBR ([17,41]), entirely written in Java, was originally designed to efficiently control time-based missions. Its ability to efficiently and effectively control agent platforms in tactical situations has been proven in several application areas such as automobile driving [41], submarine warfare [16], project management [41], etc.…”
Section: Design and Implementation Of The Context Based Systemmentioning
confidence: 99%
“…In other words, the our proposed agent performs 1) summarization of several dialogue like paraphrasing several previous sentences, 2) reasoning based on dynamic change of situations and goals [10] [13] by utilizing context-based reasoning mechanism [9] [14] and counseling knowledge for IT workers, 3) ELIZA-like single sentence paraphrasing to support client's reflection when specific knowledge is no longer required, i.e. after the client's problem has been clarified.…”
Section: Introductionmentioning
confidence: 99%