Bicchieri, C.: ¬The potential for the evolution of co-operation among web agents (1998)
0.00
0.0017568587 = product of:
0.009662722 = sum of:
0.0072322977 = weight(_text_:a in 2297) [ClassicSimilarity], result of:
0.0072322977 = score(doc=2297,freq=14.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.23593865 = fieldWeight in 2297, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0546875 = fieldNorm(doc=2297)
0.0024304248 = weight(_text_:s in 2297) [ClassicSimilarity], result of:
0.0024304248 = score(doc=2297,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.08408674 = fieldWeight in 2297, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0546875 = fieldNorm(doc=2297)
0.18181819 = coord(2/11)
- Abstract
- In building intelligent network agents, computer scientists may employ a variety of different design strategies, and their design decisions can have a significant effect on the ultimative nature of network interactions. Focuses on a particular design question, the multiple-access problem: if an agent seeking a piece of information knows of several sites that have, or might have, that information, how many queries should it issue, and when? Provides a formal analysis that demonstrates the viability of cooperative responses th this question under certain assumptions. discusses the limitations of this analysis and presents the results of experiments done using a genetic-algorithms approach in which simulated network agents 'evolve' cooperative strategies under less restrictive assumptions tham those made in the formal analysis
- Source
- International journal of human-computer studies. 48(1998) no.1, S.9-29
- Type
- a
