| Tao Yang , Bridging the Universe and the Cognition, International Journal of Computational Cognition, vol.3, no.4, December 2005, pages 1-15, [full-text pdf file] [References] |
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Abstract: In this paper the following questions are answered:
- What is the cognition?
- Where does the cognition came from?
- Can we set up a theoretical framework that is similar to the physics for the cognition?
- Which one is the most essential, the Universe or the Cognition?
- Which one did exist first, the Universe or the Cognition?
- Is it true to say that the cognition is an emergent phenomenon from brains?
The theory presented in this paper is called the Unicogse Theory. In this theory, the ``real'' physical world(the Universe) and the ``imaginary'' cognitive world(the Cognition) are two coexisting and indispensable sub-Beings of the super-Being called the Unicogse (Universe+Cognition). The Universe and the
Cognition are a dual pair. The cognition is not generated by a
physical system such as a brain. Yet, a physical system with
grounded logics, such as natural languages, can access the
Cognition through a window between the Universe and the Cognition.
Only a grounded logics such as a human natural language has the
ability to bridge the Universe and the Cognition. Therefore, the
cognition of a brain is not generated by a brain, it is
``received'' by the brain from the Cognition side. From this point
of view, a human brain is a ``sink'' of a cognition while the
``source'' of this cognition is at the Cognition side, its natural
language is the ``antenna''
. |
| Xiang Li, Sync in Complex Dynamical Networks: Stability, Evolution, Control, and Application (Invited Paper), International Journal of Computational Cognition, vol.3, no.4, December 2005, pages 16-26, [full-text pdf file] [References] |
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Abstract: In the past few years, the discoveries of small-world and
scale-free properties of many natural and artificial complex
networks have stimulated significant advances in better
understanding the relationship between the topology and the
collective dynamics of complex networks. This paper reports recent
progresses in the literature of synchronization of complex
dynamical networks including stability criteria, network
synhronizability and uniform synchronous criticality in different
topologies, and the connection between control and synchronization
of complex networks as well. The economic-cycle synchronous
phenomenon in the World Trade Web, a scale-free type of social
economic networks, is used to illustrate an application of the
network synchronization mechanism. |
| Mansour Souissi, Mohamed Chaabane and Ahmed Toumi, Greenhouse Climate Discrete Control with Guaranteed $H_{\infty}$
Performance, International Journal of Computational Cognition, vol.3, no.4, December 2005, pages 27-33. [full-text pdf file] [References] |
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Abstract: In this paper we present a fuzzy controller of a greenhouse
climate which guaranteed $H_{\infty }$ performance. Based on the
Takagi-Sugeno models an identification procedure to estimate the
greenhouse models parameters is considered. In first scheme we
have elaborate a fuzzy model of greenhouse. The model based fuzzy
controller design integrating such performance specifications is
proposed. The associated controller is formulated as Linear Matrix
Inequality (LMI) problems. Simulation results show that the fuzzy
controller yields the optimal disturbance rejection performance
and the desired set-point tracking. |
| Altion Simo, Marc Cavazza and Ryugo Kijima, Planning the Cardiac Emergencies: Virtual Patients Based on
Qualitative Physiology(Invited Paper), International Journal of Computational Cognition, vol.3, no.4, December 2005, pages 34-47. [full-text pdf file] [References] |
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Abstract: We propose a system that simulates the cardiovascular system and
other related physiological sub-systems through Qualitative
Processes Theory (QPT) with respect to several cardiac emergencies
(mainly shock states). One among other goals of this cooperative
approach is the realistic 3D visualization through a virtual
patient and its environment context, i.e. Emergency Room (ER). The
user interface for this training application tends not only to be
a natural one but also bring closer the real medical training and
accurately simulated models. Various conditions of shock states
are realized adapting QTP to represent the physiological processes
governing the corresponding medical cases. The qualitative
simulation of the cardiovascular system and related anatomical
sub-systems with a strong dependence on it, suggest the trainee's
interactive response regarding the clinical syndromes and their
sequences. Benefits that can be derived from the use of this
interface through a virtual patient in the terms of training are
that it offers an integration of the behavioral and emotional
aspects with the graphical patient representation in the ER. In
addition to being a perfect interface for the field of training,
aiming the medical students, the system resembles an integrated
intelligent virtual environment. |
| Mirna Atieh, Rafic Youn\`{e}s, Mohamad Khalil and Herman Akdag, Classification of the Car Seats by Detecting the Muscular Fatigue
in the EMG Signal, International Journal of Computational Cognition, vol.3, no.4, December 2005, pages 48-54. [full-text pdf file] [References] |
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Abstract: The objective of this paper is to evaluate and detect muscular
tiredness in natural activities, in particular, to select the most
comfortable car seat. This work consists to identifying and to
classify the EMG signal of the techniques from data mining and
from the statistical techniques. We thus tried hybridization
between some to lead to a better separation between the classes.
The methods of clustering will be applied to some signals
resulting from the experiments of discomfort of long duration on
seats of different vehicles. These methods consist in separating
segments EMG in two classes corresponding to the frequential
variation from EMG signal. |
| Ting-Cheng Chang, Feng-Che Tsai and Jiuan-Hung Ke, Selection of Discharge Parameters and Optimum Interactive
Parameter Combination under Multiple Quality Properties with Grey
Taguchi Method, International Journal of Computational Cognition, vol.3, no.4, December 2005, pages 55-72. [full-text pdf file] [References] |
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Abstract: This study aims to obtain the optimum combination of discharge
parameters under various currents and multiple electrodes,
considering both the multiple quality properties and the
interactions between discharge parameters. The discernibility
matrix was initially application to figure out the most important
of various parameters. Experiments based on the orthogonal Taguchi
method were then performed to consider the interaction between
discharge parameters. Optimum combinations of parameters for each
electrode under various currents and quality properties were
(obtained accordingly. The set with interactions and satisfying
all quality properties was chosen as the optimum combination of
discharge parameters obtained from a collective Grey correlation
analysis. Results of this study demonstrate that interactions
between discharge parameters and the optimum combination provides
significant improvements to improve discharge quality. |
| Seema Chopra, R. Mitra and Vijay Kumar, Fuzzy Controller: Choosing an Appropriate and Smallest Rule Set, International Journal of Computational Cognition, vol.3, no.4, December 2005, pages 73-79. [full-text pdf file] [References] |
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Abstract: Design of fuzzy controller depends mainly on rule base and to
derive the desired and small fuzzy rule base is still based on
trial and error. This paper concentrates on choosing the rule base
and gives some useful results. Firstly, it has been shown that
increasing the rules and number of membership functions beyond a
certain limit is useless as it increases the complexity of FLC and
has almost no effect on output response on the system. Secondly,
the authors investigate how fuzzy subtractive clustering approach,
modelled from a set of input/output data; can be applied to the
area of control theory for linear and nonlinear dynamic systems.
The objective of using this approach is to design a fuzzy logic
controller with less number of rules leading to a smaller amount
of computational time. Although the number of rules is
automatically determined by this method, an user-specified
parameter $r_{a}$ (the radius of influence of cluster center)
strongly affects the number of rules that will be generated.
Thirdly, a suggestion to choose the value of $r_{a }$ is also
given. To support the work, well-known examples of linear and
nonlinear systems are simulated under the Matlab/Simulink
environment. Both noisy and non-noisy data have been considered.
Simulation shows the effectiveness of the proposed fuzzy logic
controller as compared to existing fuzzy logic controllers.
|
| Robert Czaba\'{n}ski, Fuzzy If-Then Rules Extraction by Means of $\varepsilon $-Insensitive
Learning Techniques Integrated with Deterministic Annealing
Optimization Method, International Journal of Computational Cognition, vol.3, no.4, December 2005, pages 80-89. [full-text pdf file] [References] |
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Abstract: This paper introduces the research on possibility of global
optimization elements and $\varepsilon$-insensitive learning
techniques integration in aim of fuzzy if-then rules extraction
quality increase. The new learning algorithm of neuro-fuzzy system
with parameterized consequents is introduced. It consists in
integration of deterministic annealing and $\varepsilon$ iterative
quadratic programming method. The proposed algorithm indicates
generalization ability and outliers robustness improvement
comparing with zero-tolerance learning procedures. To show
usefulness of introduced method two numerical experiments
concerning system identification and chaotic time series
prediction problems are provided. |
