Abstract:
We study an extension of temporal logic, a multi-agent logic on
models with nontransitive linear time (which is, in a sense, also an
extension of interval logic). The proposed relational models admit
lacunas in admissibility relations among agents: information
accessible for one agent may be inaccessible for others. A logical
language uses temporary operators ‘until’ and ‘next’ (for each of
the agents), via which we can introduce modal operations ‘possible’
and ‘necessary.’ The main problem under study for the logic
introduced is the recognition problem for admissibility of inference
rules. Previously, this problem was dealt with for a logic in which
transitivity intervals have a fixed uniform length. Here the
uniformity of length of not assumed, and the logic is extended by
individual temporal operators for different agents. An algorithm is
found which decides the admissibility problem in a given logic,
i.e., it recognizes admissible inference rules.
Keywords:temporal logics, multi-agent
logics, information, problem of admissibility of rules,
decision algorithms.