22.2062, Confs: Cognitive Science, Pragmatics, Discourse Anlaysis, Comp Ling/USA

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LINGUIST List: Vol-22-2062. Fri May 13 2011. ISSN: 1068 - 4875.

Subject: 22.2062, Confs: Cognitive Science, Pragmatics, Discourse Anlaysis, Comp Ling/USA

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1)
Date: 12-May-2011
From: Wende Frost [wende.frost at asu.edu]
Subject: AAAI Symposium on Building Common Ground with Intelligent Agents
 

	
-------------------------Message 1 ---------------------------------- 
Date: Fri, 13 May 2011 11:42:03
From: Wende Frost [wende.frost at asu.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: wende.frost at nrl.navy.mil 
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
Presuppositions
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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