The future of money as digital money becoming essential concept of machine intelligent adopting to the knowledge of dynamic environments, information theory, information technology and computing.

1. DOLLARIZATION
THE
FUTURE
OF
MONEY
DIGITAL MONEY
MUSTAPHA "BLOMBERG' AKINTONA

2. INTRODUCTION
What is intelligence and
techniques of knowledge
reasonable for decision making
and knowledge processing
when the soft computational
intelligence within an innovative
and versatile paradigm treated
interaction with the physical
world and human related to the
concept of knowledge
economy, human intelligence
neural network, artificial
intelligence and deep learning
computation?

3. HUMAN-MACHINE
INTERACTION
Human-machine interaction
developed and involving a
human-interface device in
responding to the utility and
efficiency of the devices and
degree of the complexity to be
considered intelligent in human
behavior and high intelligence
by the utilization of human-
machine performance to
enhance and improve decision-
making capability.

4. OPTIMALITY
The best possible decision
performance within the
optimality of the decision
utilized in the concept of mind
relationship to guidance system
which lead to convergence in
the sense and pattern of
responses for determining
convergence or divergence of a
human behavior and human-
machine interaction

5. DIGITAL MONEY
Digital money as human-
interaction system developing in
computer and information
technology, in sensing
technology and in artificial
intelligence techniques to
achieve more precise and
process information, sense
information on digital money
and environment interact
intelligently by striving to
achieve automation in the
physical exertion and mental
activities of human being and
adapt to change in the
environment.

6. MECHATRONICS
Th practical reality of human
behavior evolved Artificial
intelligence and mechatronics to
acquire and retain knowledge as
the human behavior response to
faculty of reason in solving
problems through
comprehensively reasonable
learn about processes,
disturbances and operating
conditions of digital money in
order to optimize, utilize and
enhance the performance of the
process under consideration
and knowledge suitable
consideration for precise
dynamic model of the system
necessary for intelligent control
of mechatronics, complexity,
uncertainty and inexact
information.

7. INTELLIGENT MACHINE
Digital money become essential
concept of intelligent machine an
external environment by utilize sensor
technology to acquire information
and together with principle and
algorithm gained from the past
experience from the knowledge to
adopt to the dynamic environment,
with fundamental human-like function
with inference and decision-making
ability in able to predict the effect and
improve from its previous complexity,
uncertainty and inexact information to
the level of knowledge acquisition,
learning, acting, sensing and
perceptions.

8. ARTIFICIAL NEURAL
NETWORK
Artificial neural networks
motivated by neurons and
function of neural networks as a
perception, interconnection with
an associative memory used in
pattern recognition and
classification for adaptive
control of digital money and
environment significant to great
advantage in achieving greater
speed of processing and
learning to map complex
function by input-output data,
memory of network and value
of interconnecting weights to
properly match actual dynamic
and continue to maintain
performance and higher-level
learning and decision-making
processes.

9. COMPUTER
INTELLIGENCE
Computer intelligence deal with
analyzing and modeling of
information processing
capabilities important for
artificial intelligence with
operating environments and
performance objectives for a
higher degree of intelligence in
the supporting devices includes
households appliances,
consumer electronics,
transportation system, industrial
processes, manufacturing
system, and services with
emphasizes on fuzzy logic, deep
learning, intelligent system and
neural network.

10. DEEP-LEARNING
Deep learning represent the
human knowledge in a domain
of application and reason with
learning and knowledge
acquisition to make useful of
inferences and artificial neural
networks, value optimization for
the development of an optimal
and intelligent machine through
convergence to the global
optimum include Blackboard
architecture, knowledge
engineering, and computational
intelligence in generating
intelligent behavior.

11. DEEP-LEARNING
An economic future of
information knowledge and
machine determined by labor,
capital, land and enterprise to
steadily increase and design
capability in development of
meta-processes and
development of intelligence in
principle, information theory
and complexity theory that offer
the awesome prospect and
progress for the development of
social system and society.

12. CONCLUSIO
N
 The objective of modern science
and future of money recognize the
importance of world of
consciousness, intellect, experience
and basic attributes of life and
dynamic whirlpool of life, culture,
science, technology and religion
relevance to industrialization,
science, innovation, instruction and
technology.