Agent-based abstractions for verifying alternating-Time temporal logic with imperfect information

Abstract : We introduce a 3-valued abstraction technique for alternating-Time temporal logic (ATL) in contexts of imperfect information. We introduce under-And over-Approximations of an agent's strategic abilities in terms of must-And may- strategies and provide a 3-valued semantics for ATL based on agents in interpreted systems (IS). We define a relation of simulation between the agents and prove that it preserves defined truth values of ATL formulas. Finally, we introduce a notion of abstraction on IS and show that it simulates the concrete interpreted system. Under this setting we present a procedure that enables the direct construction of a finite abstraction from an infinite-state system.