Enabling Intelligence Analysis through Agent-Support: the CISpaces Toolkit
نویسندگان
چکیده
We demonstrate CISpaces, a system for agent-aided collaborative intelligence analysis. CISpaces exploits collaboration to ease the effort of constructing hypotheses from acquired information. Argumentation-based reasoning is employed by a sensemaking agent to identify plausible hypotheses and to compute their likelihood to be justified. Information requirements are handled by a crowdsourcing agent that elaborates responses mitigating biases and a provenance agent assists analysts in assessing the credibility of hypotheses.
منابع مشابه
Argumentation-based collaborative intelligence analysis in CISpaces
We present the CISpaces framework, a collaborative virtual space for intelligence analysts for the elaboration of information to explain a situation. CISpaces supports the analysis of conflicting information in collaboration exploiting argumentation schemes to structure and share analyses, crowd-sourcing to collect information and provenance to establish the credibility of hypotheses.
متن کاملAn approach to argumentation-based reasoning under uncertainty
Argumentation is an important mechanism for nonmonotonic reasoning. Extending argumentation to permit reasoning about uncertainty would result in reasoners capable of operating in a wide variety of realistic domains. This paper describes one such formalism, which associates uncertainty with abstract argument, thereby allowing us to determine the level of uncertainty with respect to argument jus...
متن کاملLEAF: A Toolkit for Developing Coordinated Learning Based MAS
This paper describes LEAF, the “Learning Agent based FIPA-Compliant Community Toolkit”, a toolkit for developing multiagent systems coordinated using utility function assignment, based on Collective Intelligence by Wolpert et al. LEAF agents use machine learning techniques such as reinforcement learning to maximise local utility functions, where local utility functions are assigned to agents su...
متن کاملZEUS: A Toolkit for Building Distributed Multiagent Systems
The multi-agent systems approach of knowledge level co-operation between autonomous agents promises significant benefits to distributed systems engineering, such as enhanced interoperability, scalability and reconfigurability. However, thus far, because of the innate difficulty of constructing multi-agent systems, this promise has been largely unrealised. Hence, there is an emerging desire amon...
متن کاملEnterprise Resource Planning and Business Intelligence: The Importance of Integration
The advancement of information and communications technologies (ICT) has significantly intensified market competition the world over. One of the most widespread solutions is the use of enterprise resource planning systems that has proved to support the integration and automation of the processes, the improvement of the performance, and the reduction of costs. ERP involves the planning and manag...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015