TY - GEN
T1 - Goal specification, non-determinism and quantifying over policies
AU - Baral, Chitta
AU - Zhao, Jicheng
PY - 2006
Y1 - 2006
N2 - One important aspect in directing cognitive robots or agents is to formally specify what is expected of them. This is often referred to as goal specification. Temporal logics such as LTL, and CTL* have been used to specify goals of cognitive robots and agents when their actions have deterministic consequences. It has been suggested that in domains where actions have non-deterministic effects, temporal logics may not be able to express many intuitive and useful goals. In this paper we first show that this is indeed true with respect to existing temporal logics such as LTL, CTL*, and π-CTL*. We then propose the language, P-CTL*, which includes the quantifiers, exist a policy and for all policies. We show that this language allows for the specification of richer goals, including many intuitive and useful goals mentioned in the literature which cannot be expressed in existing temporal languages. We generalize our approach of showing the limitations of Tr-CTL* to develop a framework to compare expressiveness of goal languages.
AB - One important aspect in directing cognitive robots or agents is to formally specify what is expected of them. This is often referred to as goal specification. Temporal logics such as LTL, and CTL* have been used to specify goals of cognitive robots and agents when their actions have deterministic consequences. It has been suggested that in domains where actions have non-deterministic effects, temporal logics may not be able to express many intuitive and useful goals. In this paper we first show that this is indeed true with respect to existing temporal logics such as LTL, CTL*, and π-CTL*. We then propose the language, P-CTL*, which includes the quantifiers, exist a policy and for all policies. We show that this language allows for the specification of richer goals, including many intuitive and useful goals mentioned in the literature which cannot be expressed in existing temporal languages. We generalize our approach of showing the limitations of Tr-CTL* to develop a framework to compare expressiveness of goal languages.
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M3 - Conference contribution
AN - SCOPUS:33750684645
SN - 1577352815
SN - 9781577352815
T3 - Proceedings of the National Conference on Artificial Intelligence
SP - 231
EP - 237
BT - Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
T2 - 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
Y2 - 16 July 2006 through 20 July 2006
ER -