Information Technology Reference
In-Depth Information
• the decision language
DL
distinguishes
- a set of goals
. This set of literals
identifiesvariousgoalsasthecost( cheap or expensive ), the quality of service ( good or
bad ) and the availability ( slow or fast ),
- a set of decisions
G = {
cheap , expensive , fast , slow , bad , good
}
D = { s (
x
) |
x
∈{ a , b , c , d }}
. This set of literals identifies different
alternatives,
- a set of beliefs , i.e. a set of literals identifying various features Price (
x , y
)
,
Resolution (
∈{ high , low }
(which means that y is the level of a certain feature of x) and a set of literals identifying the
possible replies of the responders
x , y
)
and DeliveryTime (
x , y
)
with x
∈{ a , b , c , d }
,y
{ reply (
) |
∈{ accept , reject }}
y
y
;
P
• the set of presumptions
sm contains the possible replies;
• the incompatibility relation
I
is trivially defined. In particular,
reply ( accept ) I reply ( reject )
,
reply ( reject ) I reply ( accept )
,and
s (
) I s (
)
=
y
good I bad , bad I good , expensive I cheap , cheap I expensive ,
slow I fast , fast I slow ;
• the theory
x
y
,withx
T
(whatever the agent is the buyer or the seller) is the set of rules shown in Table 2;
• the preferences of the buyer in our example are such that:
fast P cheap and fast P good ;
• The reservation value of the buyer is defined as:
RV = { fast }
. If the agent is the seller, then the
reservation value is defined as :
RV = {
}
.
expensive
(
x
)
: expensive s (
x
)
, Price (
x , high )
, reply ( accept )
r 11
(
x
)
: cheap s (
x
)
, Price (
x , low )
, reply ( accept )
r 12
(
x
)
: good s (
x
)
, Resolution (
x , high )
, reply ( accept )
r 21
r 22 (
x
)
: bad s (
x
)
, Resolution (
x , low )
, reply ( accept )
(
x
)
: fast
(
x
)
, DeliveryTime
(
x , low
)
, reply
(
)
r 31
s
accept
r 32 (
x
)
: slow s (
x
)
, DeliveryTime (
x , high )
, reply ( accept )
f 11 : Price ( a , high )
f 12 : Resolution ( a , low )
f 13 : DeliveryTime ( a , high )
f 21 : Price ( b , high )
f 22 : Resolution ( b , high )
f 23 : DeliveryTime ( b , high )
f 31 : Price ( c , high )
f 32 : Resolution ( c , low )
f 33 : DeliveryTime ( c , low )
f 41 : Price ( d , low )
f 42 : Resolution ( d , low )
f 43 : DeliveryTime ( d , low )
Table 2. The rules of the agents
Our formalism allows to capture the incomplete representation of a decision problem with
presumable beliefs. Arguments are built upon these incomplete statements.
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