Searching for optimal solutions to a problem using lower bounds obtained from a relaxation is a common idea in Heuristic Search and Planning. In SAT and CSPs, however, explicit rel...
Adopting a programming-language perspective, we study the problem of implementing authentication in a distributed system. We define a process calculus with constructs for authent...
Conformant planning is a variation of classical AI planning where the initial state is partially known and actions can have nondeterministic effects. While a classical plan must a...
We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
The task of designing and implementing a compiler can be a difficult and error-prone process. In this paper, we present proach based on the use of higher-order abstract syntax and...