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» Learning the required number of agents for complex tasks
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GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
14 years 6 days ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
14 years 2 days ago
Transfer of Learning for Complex Task Domains: a Demonstration using Multiple Robots
— This paper demonstrates a learning mechanism for complex tasks. Such tasks may be inherently expensive to learn in terms of training time and/or cost of obtaining each training...
Sameer Singh, Julie A. Adams
ATAL
2008
Springer
13 years 8 months ago
Content-oriented composite service negotiation with complex preferences
In e-commerce, for some cases the service requested by the consumer cannot be fulfilled by the producer. In such cases, service consumers and producers need to negotiate their ser...
Reyhan Aydogan
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
14 years 6 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
ICSE
2000
IEEE-ACM
13 years 9 months ago
Requirements engineering in the year 00: a research perspective
Requirements engineering (RE) is concerned with the identification of the goals to be achieved by the envisioned system, the operationalization of such goals into services and con...
Axel van Lamsweerde