Abstract: The present paper explores the dynamic level ofinformation sensory fusion which is to be appropriatefor hardware implementations. We associate tomultitracking sensors their abstractions, beingdiscrete time multihead state circuits. We presumesensors are to be independent from each other and thereare no direct interfaces between them. The fusion isachieved by sensor-to-sensor track association which iscontrolled by the global state transition system. Weinvestigate synchronous and asynchronous fusion modelsover common and distributed resource spaces and wecompare the recognition capacities of these and someother models, like Turing Machines, stack automata etc.Then the fusioned circuits are applied to analyzearithmetical predicates, social games and an unsolved`Syracuse Conjecture'.!19
展开▼
