Abstract:
Computers with the Von-Neumann architecture improve their processing power with the
support of memory. This architecture has been
improved by introducing different types of memories.
The research we conduct has been inspired by the fact
that humans are able to improve their memories with
the support of continuous processing in the mind. It is
evident that we can start with a smaller memory to
drive the processing, which in turn improves, both the
memory and the processing. This is analogous to how a
person uses short-notes to do processing on a larger
knowledge base. We postulate the processor to use the
said smaller memory to access the bigger knowledge
base, without the processor directly accessing the
knowledge base as in the present computations. Thus
we are researching into the development of the said
small memory, say tactics memory, as a novel memory
for Von-Neumann architecture. In doing so, we have
exploited the Buddhist theory of mind, which presents
everything as a phenomenon that occurs when the
related conditions are met We have developed algebra
for modeling the tactics memory. The tactics memory
can be introduced both as a software or hardware
solution for computations.