PROCEEDINGS IPMU '08
Amoeba-Based Fuzzy Computing for Uncertain Knowledge Processing
Toshinori Munakata, Masashi Aono, Masahiko Hara.
Fuzzy systems have extensively
been applied to process uncertain
information and knowledge, and
have mostly been implemented
on traditional silicon based chips
or electronic circuits. This paper
proposes a new, non-silicon based
paradigm called amoeba-based
computing. In this scheme, fuzzy
systems, such as fuzzy logic (e.g.,
inference) and control, will be
implemented by means of behavior
of an amoeboid organism and an
associated control system. Recently
there has been a growing interest
in amoeba-based, massively parallel
computing that utilizes chaotic
behavior of the amoeba. Amoeba-based
fuzzy computing inherits
advantages of both amoeba-based
computing and fuzzy systems, and
provides unique computing capability
of uncertain information and
knowledge.
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