Combining Information from Multiple Internet Sources
Combining Information from Multiple Internet Sources
Combining Information from Multiple Internet Sources
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Example cont:<br />
Then agents enter the next round with their URLs ranked as following:<br />
Answer Agent 1 Agent 2 Agent 3<br />
A<br />
31 (subtracted<br />
cost)<br />
20 25<br />
B 10 28,5 (subtracted<br />
cost)<br />
15<br />
C 20 25 28 (subtracted<br />
cost)<br />
Agent 1 is assigned URL A as the highest ranked. Agent 2 is assigned URL B as<br />
the highest ranked. Agent 3 is assigned URL C as the highest ranked.<br />
Below the table with costs is presented. Costs are on its diagonal:<br />
Agent 1 Agent 2 Agent 3<br />
Agent 1 ((31-10)+(31-20))/10=3,2 35-10=25 35-20=15<br />
Agent 2 30-20=10 ((28,5-20)+(28,5-25))/10=1,2 30-25=5<br />
Agent 3 30-25=5 30-15=15 ((28-15)+(28-25))/10=1,6<br />
As one can see in this round Agent 1 is considered as a loser. Its cost is<br />
3,2 which is the highest one. Since it happened second time in a row - it and<br />
result set assigned to it are removed <strong>from</strong> the further part of the<br />
negotiation. The new ranks for answers are:<br />
(Agent 1, A) = 31 – 3,2 = 27,8<br />
(Agent 2, B) = 28,5 – 1,2 = 27,3<br />
(Agent 3, C) = 28 – 1,6 = 26,4<br />
Then process continues in this way until there is only one agent with his URL<br />
assigned. Then, afterwards next “big” round is started.<br />
Listing 3.2.2 Continuation of the example of Auction round flow process<br />
In Auction method as in the Game theory method there is no direct participation of Search<br />
Agents in the process. Search Agents are just for grouping purposes and could not be used at all.<br />
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