
AbstractDynamic Epistemic Logic (DEL) deals with the representation of situations in a multi-agent and dynamic setting. It can express in a uniform way statements about:(i)what is true about an initial situation(ii)what is true about an event occurring in this situation(iii)what is true about the resulting situation after the event has occurred. After proving that what we can infer about (ii) given (i) and (iii) and what we can infer about (i) given (ii) and (iii) are both reducible to what we can infer about (iii) given (i) and (ii), we provide a tableau method deciding whether such an inference is valid. We implement it in LOTRECscheme and show that this decision problem is NEXPTIME-complete. This contributes to the proof theory and the study of the computational complexity of DEL which have rather been neglected so far.
[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], computational complexity, tableau method, Dynamic epistemic logic, Theoretical Computer Science, Computer Science(all)
[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], computational complexity, tableau method, Dynamic epistemic logic, Theoretical Computer Science, Computer Science(all)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
