Paper abstract bibtex

The relationship between two well established formalisms for temporal reasoning is first investigated, namely between Allen’s interval algebra (or Allen’s temporal logic, abbreviated ATL) and linear temporal logic (LTL). A discrete variant of ATL is defined, called Allen linear temporal logic (ALTL), whose models are ω-sequences of timepoints. It is shown that any ALTL formula can be linearly translated into an equivalent LTL formula, thus enabling the use of LTL techniques on ALTL requirements. This translation also implies the NP-completeness of ATL satisfiability. Then the problem of monitoring ALTL requirements is investigated, showing that it reduces to checking satisfiability; the similar problem for unrestricted LTL is known to require exponential space. An effective monitoring algorithm for ALTL is given, which has been implemented and experimented with in the context of planning applications.

@article{rosu_allen_2006, title = {Allen {Linear} ( {Interval} ) {Temporal} {Logic} – {Translation} to {LTL} and {Monitor}}, issn = {03029743}, url = {http://link.springer.com/chapter/10.1007/11817963_25?LI=true}, abstract = {The relationship between two well established formalisms for temporal reasoning is first investigated, namely between Allen’s interval algebra (or Allen’s temporal logic, abbreviated ATL) and linear temporal logic (LTL). A discrete variant of ATL is defined, called Allen linear temporal logic (ALTL), whose models are ω-sequences of timepoints. It is shown that any ALTL formula can be linearly translated into an equivalent LTL formula, thus enabling the use of LTL techniques on ALTL requirements. This translation also implies the NP-completeness of ATL satisfiability. Then the problem of monitoring ALTL requirements is investigated, showing that it reduces to checking satisfiability; the similar problem for unrestricted LTL is known to require exponential space. An effective monitoring algorithm for ALTL is given, which has been implemented and experimented with in the context of planning applications.}, journal = {Computer Aided Verification}, author = {Rosu, Grigore and Bensalem, Saddek}, year = {2006}, note = {ISBN: 354037406X}, pages = {263--277} }

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