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LINGUIST List 22.2062

Fri May 13 2011

Confs: Cognitive Science, Pragmatics, Discourse Anlaysis, Comp Ling/USA

Editor for this issue: Amy Brunett <brunettlinguistlist.org>

LINGUIST is pleased to announce the launch of an exciting new feature: Easy Abstracts! Easy Abs is a free abstract submission and review facility designed to help conference organizers and reviewers accept and process abstracts online. Just go to: http://www.linguistlist.org/confcustom, and begin your conference customization process today! With Easy Abstracts, submission and review will be as easy as 1-2-3!
        1.     Wende Frost , AAAI Symposium on Building Common Ground with Intelligent Agents

Message 1: AAAI Symposium on Building Common Ground with Intelligent Agents
Date: 12-May-2011
From: Wende Frost <wende.frostasu.edu>
Subject: AAAI Symposium on Building Common Ground with Intelligent Agents
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AAAI Symposium on Building Common Ground with Intelligent Agents

Date: 04-Nov-2011 - 06-Nov-2011
Location: Arlington, VA, USA
Contact: Wende Frost
Contact Email: < click here to access email >
Meeting URL: https://sites.google.com/site/buildingcommonground2011/

Linguistic Field(s): Cognitive Science; Computational Linguistics; Discourse Analysis; Pragmatics

Meeting Description:

Building Representations of Common Ground with Intelligent Agents

Much of the success of natural language interaction is caused by the participants' mutual understanding of the circumstances surrounding the communication. These circumstances range from reminiscing about a shared experience, such as a birthday party, to coordinating fire-fighting efforts amongst a team using joint beliefs about mutual capabilities. This mutual understanding of perceived context is termed 'common ground,' and is made up of all of the background and shared information that will lead to the eventual success of the communication. Some measure of common ground is used in most, if not all, successful interactions between human actors. For humans to have a convincing and beneficial experience interacting with intelligent agents, the agents must have mechanisms that support the fundamentals of common ground. Otherwise, the consequence may be unsuccessful and incomplete interactions.

This symposium aims to bring together researchers from robotics, artificial intelligence, human-computer interaction, computational linguistics, and cognitive modeling to share their diverse perspectives on common ground and its component factors. This investigation of how existing work explicitly or implicitly uses aspects of common ground will bring us closer to a practical approach for a complete common ground in intelligent, computational agents. Work to be presented may consist of currently implemented applications that contain common ground components, theoretical formalisms of these components, proposed frameworks, and work in progress.

Components of common ground include, but are not limited to, the following:

Background knowledge
World knowledge
Mutual knowledge
Mutual beliefs
Beliefs about beliefs
Conversational maxims

Examples of how these components may have been incorporated into current work include:

Building of shared histories between actors
Representations of beliefs or beliefs about beliefs
Identifying and representing suppositions and presuppositions
Reasoning about other actors' beliefs
Creating untruthful or deceptive common ground
Formalizations of any common ground component
Agents or models which use common ground components in interaction
Discourse or dialogue models which use some aspect of common ground
Extraction of perlocutionary actions or effects from utterances
Inferring common ground
Using common ground to ground referents

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