SNARE: Social Network Analysis and Reasoning Environment

Doug Riecken, Anita Raja, Rebecca Jane Passonneau, David L. Waltz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The importance of diversity in reasoning and learning to successfully address complex problems is examined. We discuss an approach by which a multiagent framework with decentralized control mechanisms provides diverse perspectives and hypotheses addressing a class of complex problems. We introduce the SNARE multiagent system. SNARE performs tasks to gain situational awareness of situations of interest in a Social Media Space. It applies a decentralized control mechanism for each agent; this mechanism enables an agent to interact with other agents to reason and learn. This approach facilitates dynamic agent organizations that adapt the topologies of interactions between agents based on the problem context.

Original languageEnglish (US)
Title of host publicationAI, The Fundamental Social Aggregation Challenge, and the Autonomy of Hybrid Agent Groups - Papers from the AAAI Spring Symposium
Pages42-48
Number of pages7
StatePublished - Aug 16 2012
Event2012 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 26 2012Mar 28 2012

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-12-01

Other

Other2012 AAAI Spring Symposium
CountryUnited States
CityStanford, CA
Period3/26/123/28/12

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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    Riecken, D., Raja, A., Passonneau, R. J., & Waltz, D. L. (2012). SNARE: Social Network Analysis and Reasoning Environment. In AI, The Fundamental Social Aggregation Challenge, and the Autonomy of Hybrid Agent Groups - Papers from the AAAI Spring Symposium (pp. 42-48). (AAAI Spring Symposium - Technical Report; Vol. SS-12-01).