By Michael Wooldridge (auth.), James O’Shea, Ngoc Thanh Nguyen, Keeley Crockett, Robert J. Howlett, Lakhmi C. Jain (eds.)
This ebook constitutes the refereed lawsuits of the fifth KES foreign convention on Agent and Multi-Agent platforms, KES-AMSTA 2011, held in Manchester, united kingdom, in June/July 2011.
The sixty nine revised papers offered have been rigorously reviewed and chosen for inclusion within the e-book. moreover the amount comprises one summary and one complete paper size keynote speech. The papers are geared up in topical sections on conversational brokers, discussion platforms and textual content processing; brokers and on-line social networks; robotics and production; agent optimisation; negotiation and safety; multi-agent structures; mining and profiling; agent-based optimization; doctoral music; computer-supported social intelligence for human interplay; electronic financial system; and clever workflow, cloud computing and systems.
Read Online or Download Agent and Multi-Agent Systems: Technologies and Applications: 5th KES International Conference, KES-AMSTA 2011, Manchester, UK, June 29 – July 1, 2011. Proceedings PDF
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Extra info for Agent and Multi-Agent Systems: Technologies and Applications: 5th KES International Conference, KES-AMSTA 2011, Manchester, UK, June 29 – July 1, 2011. Proceedings
1 Introduction A conversational agent (CA) is an agent which uses natural language dialogue to communicate with users . The CA will also have the ability to reason and pursue a course of action based on its interactions with humans and other agents. g. customer self service on the web, internal advice on an organisation’s policies and procedures, and would allow users to be able to ask questions in natural language. At the same time, the information / advice given by the CA would always be consistent, appropriate and valid whilst the agent can be designed to exhibit sympathetic or compassionate behaviour to a particular circumstance.
Depending on their level of knowledge, participants were exposed to various resources and given hints and help as required. Finally, each participant was asked to complete the same multiple choice test to measure their learning over the session. The results of the gave an accuracy of predicting learning style on the Sequential/Global dimension of 75-80%. Overall, the results have shown that the Oscar CITS tutoring seemed to help learning as all participants who did not initially achieve full marks improved their test scores by an average of 25%.
The user enters dialogue, the discourse manager requests a response from the expert system or the DA, and then instructs the GUI to update its display accordingly. • The expert system contains a rule base comprising of the domain knowledge. Through dialogue with the DA, the rule base will gather information about the user’s circumstances and will inform the discourse manager which attributes and its associated value needs to be captured in order to progress. • Goal Orientated Conversational Agents: Applications to Benefit Society • • 19 The graphical user interface component manages the display and responds to the users requests either in the form of mouse click, button selection or natural language dialogue.
Agent and Multi-Agent Systems: Technologies and Applications: 5th KES International Conference, KES-AMSTA 2011, Manchester, UK, June 29 – July 1, 2011. Proceedings by Michael Wooldridge (auth.), James O’Shea, Ngoc Thanh Nguyen, Keeley Crockett, Robert J. Howlett, Lakhmi C. Jain (eds.)