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CORR
2000
Springer
92views Education» more  CORR 2000»
13 years 6 months ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee
ENDM
2000
116views more  ENDM 2000»
13 years 6 months ago
Conceptual Models for Combined Planning and Scheduling
Planning and scheduling attracts an unceasing attention of computer science community. Several research areas like Artificial Intelligence, Operations Research and Constraint Prog...
Roman Barták
IJCSS
2000
176views more  IJCSS 2000»
13 years 6 months ago
AI-based discrete sliding-mode control for real-time implementation
Combination of sliding-mode control and an AI block based on fuzzy logic is introduced. This hybrid control structure provides very good control performance and robustness of contr...
Vladimir B. Bajic, Daohang Sha, Xinzhong Li, Xingm...
IJSEKE
2000
90views more  IJSEKE 2000»
13 years 6 months ago
Planning Support to Software Process Evolution
The ability to handle changes is a characteristic feature of successful software projects. The problem addressed in this paper is what should be done in project planning and itera...
Reidar Conradi, Minh Ngoc Nguyen, Alf Inge Wang, C...
ANLP
1997
110views more  ANLP 1997»
13 years 8 months ago
Automating NL Appointment Scheduling with COSMA
Appointment scheduling is a problem faced daily by many individuals and organizations. Cooperating agent systems have been developed to partially automate this task. In order to e...
Stephan Busemann