Research Cell: An International Journal of Engineering Sciences

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Computational Consciousness


Affiliations
1 Dept. of Computer Science and Engineering, Gandhi Institute of Technology and Management(GITAM), Bhubaneswar, India
2 Applied Statistical Unit, Indian Statistical Institute(ISI), Kolkata, India
3 Dept. Electronics Engineering, Orissa Engineering College(OEC), Bhubaneswar, India
4 Dept. of Computer Science and Engineering, Gandhi Institute For Technology(GIFT), Bhubaneswar, India
 

Every Science has a philosophy in its background and every computation has a natural phenomenon in it's background. One of the most pronounced research domains in the recent times is study of consciousness, what we have chosen as our area of research. This field of research conglomerates both philosophy and phenomenology. Philosophy of consciousness helped to derive the scientific interpretation of it, and phenomenology of consciousness helped us to derive the computational aspect of consciousness. Scientific study of consciousness is historically being the most challenging and has a history which is prolonged to origin of human civilisation. In all age, saints, philosophers, mathematicians and scientists have expressed their depiction about consciousness as the peak of their scientific arena. In recent times, one new dimension of scientific study of consciousness has emerged i.e., phenomenal view of consciousness which is proposed to develop computational aspect of it. The present paper is the resultant of my Phd research work on computational consciousness where we have started with philosophical interpretation of consciousness in context with Vedic philosophy and derived few noble scientific definition and logical explanations of consciousness. Then, we have used the phenomenal aspects of consciousness to design a computational model of consciousness architecture. The prime goal behind the study is to derive the computational aspect of it and implement it into artificial system architecture. The obvious benefit is that, we can automate the intelligence aspect of machine so that adaptability of machines can be as natural as a biological being and can be used to solve various complex decision making problems. The domain of study of consciousness is an highly interdisciplinary one and includes subject domains such as philosophy, mathematics, physics, biology, analog and digital signal processing, Natural language processing, Computational Intelligence, Machine Learning, Data Mining, Knowledge Mining and still the list is inclusive.

It will not wrong to say that, whatever philosophy, art, science, mathematics, engineering is involved in designing this beautiful creation, will involve to model the consciousness. In brief, consciousness is the origin of all knowledge streams and all knowledge streams required to have a complete model of consciousness. Here with my limited ability, I have constricted my work to probe it's structure or architecture, develop a logical definition and concentrate on optimisation property of consciousness, develop a computational model of it and apply into artificial systems for enhancing better adaptability of the artificial systems and enable it to take human like automated intelligent actions and decision making process in pre-defined domains.


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  • Computational Consciousness

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Authors

Chinmayananda Padhy
Dept. of Computer Science and Engineering, Gandhi Institute of Technology and Management(GITAM), Bhubaneswar, India
P. Pal Choudhury
Applied Statistical Unit, Indian Statistical Institute(ISI), Kolkata, India
H. N. Pratihari
Dept. Electronics Engineering, Orissa Engineering College(OEC), Bhubaneswar, India
R. R. Panda
Dept. of Computer Science and Engineering, Gandhi Institute For Technology(GIFT), Bhubaneswar, India

Abstract


Every Science has a philosophy in its background and every computation has a natural phenomenon in it's background. One of the most pronounced research domains in the recent times is study of consciousness, what we have chosen as our area of research. This field of research conglomerates both philosophy and phenomenology. Philosophy of consciousness helped to derive the scientific interpretation of it, and phenomenology of consciousness helped us to derive the computational aspect of consciousness. Scientific study of consciousness is historically being the most challenging and has a history which is prolonged to origin of human civilisation. In all age, saints, philosophers, mathematicians and scientists have expressed their depiction about consciousness as the peak of their scientific arena. In recent times, one new dimension of scientific study of consciousness has emerged i.e., phenomenal view of consciousness which is proposed to develop computational aspect of it. The present paper is the resultant of my Phd research work on computational consciousness where we have started with philosophical interpretation of consciousness in context with Vedic philosophy and derived few noble scientific definition and logical explanations of consciousness. Then, we have used the phenomenal aspects of consciousness to design a computational model of consciousness architecture. The prime goal behind the study is to derive the computational aspect of it and implement it into artificial system architecture. The obvious benefit is that, we can automate the intelligence aspect of machine so that adaptability of machines can be as natural as a biological being and can be used to solve various complex decision making problems. The domain of study of consciousness is an highly interdisciplinary one and includes subject domains such as philosophy, mathematics, physics, biology, analog and digital signal processing, Natural language processing, Computational Intelligence, Machine Learning, Data Mining, Knowledge Mining and still the list is inclusive.

It will not wrong to say that, whatever philosophy, art, science, mathematics, engineering is involved in designing this beautiful creation, will involve to model the consciousness. In brief, consciousness is the origin of all knowledge streams and all knowledge streams required to have a complete model of consciousness. Here with my limited ability, I have constricted my work to probe it's structure or architecture, develop a logical definition and concentrate on optimisation property of consciousness, develop a computational model of it and apply into artificial systems for enhancing better adaptability of the artificial systems and enable it to take human like automated intelligent actions and decision making process in pre-defined domains.