KQML

KQML - A Language and Protocol for Knowledge and Information Exchange. This paper describes the design of and experimentation with the Knowledge Query and Manipulation Language (KQML), a new language and protocol for exchanging information and knowledge. This work is part a larger effort, the ARPA Knowledge Sharing Effort which is aimed at developing techniques and methodology for building large-scale knowledge bases which are sharable and reusable. KQML is both a message format and a message-handling protocol to support run-time knowledge sharing among agents. KQML can be used as a language for an application program to interact with an intelligent system or for two or more intelligent systems to share knowledge in support of cooperative problem solving. KQML focuses on an extensible set of performatives, which defines the permissible operations that agents may attempt on each other’s knowledge and goal stores. The performatives comprise a substrate on which to develop higher-level models of inter-agent interaction such as contract nets and negotiation. In addition, KQML provides a basic architecture for knowledge sharing through a special class of agent called communication facilitators which coordinate the interactions of other agents The ideas which underlie the evolving design of KQML are currently being explored through experimental prototype systems which are being used to support several testbeds in such areas as concurrent engineering, intelligent design and intelligent planning and scheduling.


References in zbMATH (referenced in 32 articles )

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  1. Hanna, Nader; Richards, Deborah: Speech act theory as an evaluation tool for human-agent communication (2019)
  2. Gassmann, Horand; Ma, Jun; Martin, Kipp: Communication protocols for options and results in a distributed optimization environment (2016)
  3. Lebrun, Yoann; Adam, Emmanuel; Mandiau, René; Kolski, Christophe: A model for managing interactions between tangible and virtual agents on an RFID interactive tabletop: case study in traffic simulation (2015) ioport
  4. Zhuge, Hai: Interactive semantics (2010) ioport
  5. Klenk, Matthew; Forbus, Ken: Analogical model formulation for transfer learning in AP physics (2009) ioport
  6. Haase, Peter; Siebes, Ronny; Van Harmelen, Frank: Expertise-based peer selection in peer-to-peer networks (2008) ioport
  7. Ma, Jiefei; Russo, Alessandra; Broda, Krysia; Clark, Keith: DARE: a system for distributed abductive reasoning. (2008) ioport
  8. Kagal, Lalana; Finin, Tim: Modeling conversation policies using permissions and obligations. (2007) ioport
  9. Middleton, S. E.; Surridge, M.; Benkner, S.; Engelbrecht, G.: Quality of service negotiation for commercial medical grid services (2007) ioport
  10. Camacho, David; Aler, Ricardo; Borrajo, Daniel; Molina, José M.: Multi-agent plan based information gathering (2006) ioport
  11. Camacho, David; Aler, Ricardo; Borrajo, Daniel; Molina, José M.: Multi-agent plan based information gathering (2006)
  12. Grütter, Rolf: Software-agenten im semantic web (2006) ioport
  13. Ludwig, Simone A.; Rana, Omer F.; Padget, Julian; Naylor, William: Matchmaking framework for mathematical web services (2006) ioport
  14. Santos, Eugene; DeLoach, Scott A.; Cox, Michael T.: Achieving dynamic, multi-commander, multi-mission planning and execution (2006) ioport
  15. de Boer, Frank S.; de Vries, Wieke; Meyer, John-Jules Ch.; van Eijk, Rogier M.; van der Hoek, Wiebe: Process algebra and constraint programming for modeling interactions in MAS (2005)
  16. Quintero, Alejandro; Konaré, Dougoukolo; Pierre, Samuel: Prototyping an intelligent decision support system for improving urban infrastructures management (2005)
  17. Heutte, L.; Nosary, A.; Paquet, T.: A multiple agent architecture for handwritten text recognition (2004) ioport
  18. de Boer, Frank S.; van Eijk, Rogier M.; van der Hoek, Wiebe; Meyer, John-Jules Ch.: A fully abstract model for the exchange of information in multi-agent systems. (2003)
  19. Luo, Xudong; Jennings, Nicholas R.; Shadbolt, Nigel; Leung, Ho-fung; Lee, Jimmy Ho-man: A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments (2003)
  20. Vlahavas, Ioannis: MACLP: multi agent constraint logic programming (2002)

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