Multiagent Systems Engineering
By Scott A. DeLoach, M. F. Wood, Clint H. Sparkman. International journal of software engineering and knowledge engineering, 2001
537 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/12ce0e39d13b2e96d5b66c61d0c83764b51cecc3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Lin Padgham
- Michael Winikoff
- Juan C. García-Ojeda
- Scott A. DeLoach
- Pr Djamila Rekioua
- Barbara Messing
In Computer Networks and Communications
Citations in the corpus
- The PASSI and Agile PASSI MAS Meta-models Compared with a Unifying Proposal (2005, unknown): “different philosophical possible approaches [1,2,3,4, 5 ].”
- Developing intelligent agent systems - a practical guide (2004, methodology): “The MaSE methodology (DeLoach et al. 2001) is one of the few methodologies that appears to have significant tool support.”
- Optimization of Photovoltaic Power Systems (2012, background): “Furthermore, four main applications of MAS have been identified [59]: • Monitoring and diagnostics.”
- Prometheus: a methodology for developing intelligent agents (2002, background): “[2, 3, 4, 5, 6, 7, 9]) in that it focuses on the development of intelligent agents rather than black boxes, supports software engineering activities from requirements specification through to detailed design and implementation,”
- O-MaSE: a customisable approach to designing and building complex, adaptive multi-agent systems (2010, background): “Goal models are widespread in many agent-oriented methodologies (DeLoach et al., 2001; Giorgini et al., 2005; Padgham and Winikoff, 2002).”