TITLE:
Causality Is Logically Definable—Toward an Equilibrium-Based Computing Paradigm of Quantum Agent and Quantum Intelligence (QAQI) (Survey and Research)
AUTHORS:
Wen-Ran Zhang, Karl E. Peace
KEYWORDS:
Causality and Definability, Causal Logic, Causal Algebra, Quantum Agent, Quantum Intelligence, Quantum Non-Locality, Quantum Logic Gate, Energy-Information Conservation, Laws of Causation, CPT Symmetry, Mind-Body Unification, Growing and Aging, Quantum Biology, Quantum Data Mining
JOURNAL NAME:
Journal of Quantum Information Science,
Vol.4 No.4,
December
22,
2014
ABSTRACT: A survey on agents,
causality and intelligence is presented and an equilibrium-based computing paradigm
of quantum agents and quantum intelligence (QAQI) is proposed. In the survey, Aristotle’s
causality principle and its historical extensions by David Hume, Bertrand Russell,
Lotfi Zadeh, Donald Rubin, Judea Pearl, Niels Bohr, Albert Einstein, David Bohm,
and the causal set initiative are reviewed; bipolar dynamic logic (BDL) is introduced
as a causal logic for bipolar inductive and deductive reasoning; bipolar quantum
linear algebra (BQLA) is introdused as a causal algebra for quantum agent interaction
and formation. Despite the widely held view that causality is undefinable with regularity,
it is shown that equilibrium-based bipolar causality is logically definable using
BDL and BQLA for causal inference in physical, social, biological, mental, and philosophical
terms. This finding leads to the paradigm of QAQI where agents are modeled as quantum
enssembles; intelligence is revealed as quantum intelligence. It is shown that the
enssemble formation, mutation and interaction of agents can be described as direct
or indirect results of quantum causality. Some fundamental laws of causation
are presented for quantum agent entanglement and quantum intelligence. Applicability
is illustrated; major challenges are identified in equilibriumbased causal inference
and quantum data mining.