TY  - JOUR
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
T1  - Decision-Theoretic Planning with Fuzzy Notions in GOLOG
T2  - International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
N2  - In this paper we present an extension of the action language Golog that allows for using fuzzy notions in non-deterministic argument choices and the reward function in decision-theoretic planning. Often, in decision-theoretic planning, it is cumbersome to specify the set of values to pick from in the non-deterministic-choice-of-argument statement. Also, even for domain experts, it is not always easy to specify a reward function. Instead of providing a finite domain for values in the non-deterministic-choice-of-argument statement in Golog, we now allow for stating the argument domain by simply providing a formula over linguistic terms and fuzzy uents. In Golog’s forward-search DT planning algorithm, these formulas are evaluated in order to find the agent’s optimal policy. We illustrate this in the Diner Domain where the agent needs to calculate the optimal serving order.
Y1  - 2016
UR  - https://opus.bibliothek.fh-aachen.de/opus4/frontdoor/index/index/docId/8211
SN  - 1793-6411
VL  - 24
IS  - Issue Suppl. 2
SP  - 123
EP  - 143
PB  - World Scientific
CY  - Singapur
ER  -