We propose a logical framework to represent and reason about some important aspects of a theory of institutional action: (1) the distinctions between physical facts and actions and...
Pearl's probabilistic causal model has been used in many domains to reason about causality. Pearl's treatment of actions is very different from the way actions are repre...
An event space is a set of instantaneous events that vary both in time and specificity. The concept of an event space provides a foundation for a logical--i.e., modular and open-a...
Causality is a central issue in many AI applications. Social causality, in contrast to physical causality, seeks to attribute cause and responsibility to social events, and account...
The problem of model checking threads interacting purely via the standard synchronization primitives is key for many concurrent program analyses, particularly dataflow analysis. U...