IMPACT

Impact: A Multi-Agent Framework with Declarative Semantics. The IMPACT project (http://www.cs.umd.edu/projects/impact) aims at developing a powerful multi-agent system platform, which (1) is able to deal with heterogenous and distributed data, (2) can be realised on top of arbitrary legacy code, (3) is built on a clear foundational basis, and (4) scales up for realistic applications. We will describe its main features and several extensions of the language that have been investigated (and partially implemented).

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References in zbMATH (referenced in 5 articles )

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  1. Dix, Jürgen; Fisher, Michael: Where logic and agents meet (2011)
  2. Lloyd, John W.; Ng, Kee Siong: Declarative programming for agent applications (2011) ioport
  3. Dastani, Mehdi M.; Hindriks, Koen V.; Novák, Peter; Tinnemeier, Nick A. M.: Combining multiple knowledge representation technologies into agent programming languages (2009)
  4. Slota, Martin; Leite, João: EVOLP: Tranformation-based semantics (2009)
  5. Greco, Gianluigi: Solving abduction by computing joint explanations. Logic programming formalization, applications to P2P data integration, and complexity results (2007)