Representing Conversations for Scalable Overhearing
نویسندگان
چکیده
منابع مشابه
Representing Conversations for Scalable Overhearing
Open distributed multi-agent systems are gaining interest in the academic community and in industry. In such open settings, agents are often coordinated using standardized agent conversation protocols. The representation of such protocols (for analysis, validation, monitoring, etc) is an important aspect of multi-agent applications. Recently, Petri nets have been shown to be an interesting appr...
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The collaboration between two intelligent agents can be greatly enhanced if a third agent, who has some understanding of the communication between the first two, intervenes giving appropriate information or acting helpfully without having been explicitly involved. The behavior of this third agent, quite common in human interaction, is called overhearing. We present an agent architecture modelin...
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Recent research indicates that toddlers can monitor others' conversations, raising the possibility that they can acquire vocabulary in this way. Three studies examined 2-year-olds' (N = 88) ability to learn novel words when overhearing these words used by others. Children aged 2,6 were equally good at learning novel words-both object labels and action verbs-when they were overhearers as when th...
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Despite its significance for understanding of language acquisition, the role of childhood language experience has been examined only in linguistic deprivation studies focusing on what cannot be learned readily beyond childhood. This study focused instead on long-term effects of what can be learned best during childhood. Our findings revealed that adults learning a language speak with a more nat...
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We present a framework for group formation within teams of non-selfish agents cooperating in a dynamic environment with local broadcast communication. This framework is based on a set of six types of propositional attitudes, the concept of overhearing and a mechanism that allows agents to track the organization of the team. We explain the principles of this framework, formalize the organization...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2006
ISSN: 1076-9757
DOI: 10.1613/jair.1829