Unformatted text preview: an item that is substitutable for A?"
In addition to solving realistic problem instances without complete information revelation, it is also important that dynamic methods allow an agent to respond to requests
for information with an approximate solution to its own valuation function. Notice that
in each of the preceding examples an agent can respond without rst computing its exact
value for all bundles. Examples: Complete Information is Not Necessary
Examples 1 3 are simple problems instances in which the optimal allocation and the Vickrey payments can be computed without complete information from agents. Although there
is no consideration of agent incentives at this stage, a well structured iterative auction can
compute optimal outcomes without complete information from agents and provide incentives for agents to reveal truthful information. Example 1. Singleitem auction with 3 agents, and values v1 = 16; v2 = 10; v3 = 4. The Vickrey outcome is to sell the item to agent 1 for agent 2's value, i.e. for 10. Instead of
information fv1 ; v2 ; v3 g it is su cient to know fv1 10; v2 = 10; v3 10g to compute this
outcome. Example 2. Consider a combinatorial auction problem in which we ask every agent for the bundle that maximizes their value. If the response from each agent is nonoverlapping,
as illustrated in Figure 3.1 then we cam immediately compute the outcome of the GVA.
The e cient allocation is to give each agent its favorite bundle; every agent gets its valuemaximizing bundle so there can be no better solution. The Vickrey payments in this
example are zero, intuitively because there is no competition between agents. We do not
need any information about the value of an agent for any other bundles, and we do not
need even need an agent's value for its favorite bundle. Example 3. Consider the simple combinatorial allocation problem instance in Table 3.1, with items A, B and agents 1, 2, 3. The values of agent 1 for item B and bundle AB are
stated as a b and b 15, but otherwise left unde ned. Consider the following cases:
77 4 1 3 2 Figure 3.1: A simple combinatorial allocation problem. Each disc represents an item, and the selected bundles represent the bundles with maximum value for agents 1, 2, 3 and 4. In this
example this is su cient information from agents to compute the e cient solution and the Vickrey
payments. a 5 In this case the GVA assigns bundle AB to agent 3, with V = 15, V,3 =
max 10+ a; b , so that the payment for agent 3 is pvick 3 = 15 , 15 , max 10+ a; b =
max 10 + a; b . It is su cient to know fa 5; b 15; max 10 + a; b g to compute the
outcome. a 5 In this case the GVA assigns item B to agent 1 and item A to agent 2, with
V = 10 + a, V,1 = 15, and V,2 = 15. The payment for agent 1 is pvick1 =
a,10+a,15 = 5 and the payment for agent 2 is pvick 2 = 10,10+a,15 = 15,a.
It is su cient to know fa; b 15g to compute the outcome.
Notice that it is not necessary to compute the value of the optimal allocation S to
compute Vickrey payments; we only need to...
View
Full
Document
This document was uploaded on 03/19/2014 for the course COMP CS286r at Harvard.
 Fall '13
 DavidParkes

Click to edit the document details