On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes

2009 ◽  
pp. 141-153
Author(s):  
Yingxu Wang
Keyword(s):  
Software Engineering ◽  
Mathematical Models ◽  
Real Time ◽  
Cognitive Processes ◽  
Reference Model ◽  
Human Perception ◽  
Comprehensive Model ◽  
Time Process ◽  
Rigorous Model ◽  
The Brain

An interactive motivation-attitude theory is developed based on the Layered Reference Model of the Brain (LRMB) and the object-attributerelation (OAR) model. This paper presents a rigorous model of human perceptual processes such as emotions, motivations, and attitudes. A set of mathematical models and formal cognitive processes of perception is developed. Interactions and relationships between motivation and attitude are formally described in real-time process algebra (RTPA). Applications of the mathematical models of motivations and attitudes in software engineering are demonstrated. This work is a part of the formalization of LRMB, which provides a comprehensive model for explaining the fundamental cognitive processes of the brain and their interactions. This work demonstrates that the complicated human emotional and perceptual phenomena can be rigorously modeled and formally treated based on cognitive informatics theories and denotational mathematics.

On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes

2009 ◽  
pp. 685-697
Author(s):  
Yingxu Wang
Keyword(s):  
Software Engineering ◽  
Mathematical Models ◽  
Real Time ◽  
Cognitive Processes ◽  
Reference Model ◽  
Human Perception ◽  
Comprehensive Model ◽  
Time Process ◽  
Rigorous Model ◽  
The Brain

An interactive motivation-attitude theory is developed based on the Layered Reference Model of the Brain (LRMB) and the object-attributerelation (OAR) model. This paper presents a rigorous model of human perceptual processes such as emotions, motivations, and attitudes. A set of mathematical models and formal cognitive processes of perception is developed. Interactions and relationships between motivation and attitude are formally described in real-time process algebra (RTPA). Applications of the mathematical models of motivations and attitudes in software engineering are demonstrated. This work is a part of the formalization of LRMB, which provides a comprehensive model for explaining the fundamental cognitive processes of the brain and their interactions. This work demonstrates that the complicated human emotional and perceptual phenomena can be rigorously modeled and formally treated based on cognitive informatics theories and denotational mathematics.

On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes

2011 ◽  
pp. 65-77 ◽  
Author(s):  
Yingxu Wang
Keyword(s):  
Software Engineering ◽  
Mathematical Models ◽  
Cognitive Processes ◽  
Reference Model ◽  
Human Perception ◽  
Comprehensive Model ◽  
Time Process ◽  
Rigorous Model ◽  
The Brain ◽  
Object Attribute

An interactive motivation-attitude theory is developed based on the Layered Reference Model of the Brain (LRMB) and the Object-Attribute-Relation (OAR) model. This chapter presents a rigorous model of human perceptual processes such as emotions, motivations, and attitudes. A set of mathematical models and formally described cognitive processes are developed. The interactions and relationships between motivation and attitude are formally described in real-time process algebra (RTPA). Applications of the mathematical models of motivations and attitudes in software engineering are demonstrated. This work is the detailed description of a part of the layered reference model of the brain (LRMB) that provides a comprehensive model for explaining the fundamental cognitive processes of the brain and their interactions. This work demonstrates that the complicated human emotional and perceptual phenomena can be rigorously modeled in mathematics and be formally treated and described.

The Cognitive Processes of Formal Inferences

2011 ◽  
pp. 92-105
Author(s):  
Yingxu Wang
Keyword(s):  
Mathematical Models ◽  
Causal Inference ◽  
Real Time ◽  
Cognitive Processes ◽  
Cognitive Process ◽  
Process Algebra ◽  
Applied Research ◽  
Theoretical Research ◽  
Time Process ◽  
The Brain

Theoretical research is predominately an inductive process, while applied research is mainly a deductive process. Both inference processes are based on the cognitive process and means of abstraction. This chapter describes the cognitive processes of formal inferences such as deduction, induction, abduction, and analogy. Conventional propositional arguments adopt static causal inference. This chapter introduces more rigorous and dynamic inference methodologies, which are modeled and described as a set of cognitive processes encompassing a series of basic inference steps. A set of mathematical models of formal inference methodologies is developed. Formal descriptions of the 4 forms of cognitive processes of inferences are presented using Real-Time Process Algebra (RTPA). The cognitive processes and mental mechanisms of inferences are systematically explored and rigorously modeled. Applications of abstraction and formal inferences in both the revilement of the fundamental mechanisms of the brain and the investigation of next generation cognitive computers are explored.

The Theoretical Framework of Cognitive Informatics

2009 ◽  
pp. 33-59
Author(s):  
Yingxu Wang
Keyword(s):  
Cognitive Processes ◽  
Autonomic Computing ◽  
Knowledge Engineering ◽  
Reference Model ◽  
Human Perception ◽  
Theoretical Framework ◽  
Cognitive Informatics ◽  
Rigorous Treatment ◽  
Almost All ◽  
The Brain

Cognitive Informatics (CI) is a transdisciplinary enquiry of the internal information processing mechanisms and processes of the brain and natural intelligence shared by almost all science and engineering disciplines. This article presents an intensive review of the new field of CI. The structure of the theoretical framework of CI is described encompassing the Layered Reference Model of the Brain (LRMB), the OAR model of information representation, Natural Intelligence (NI) vs. Artificial Intelligence (AI), Autonomic Computing (AC) vs. imperative computing, CI laws of software, the mechanism of human perception processes, the cognitive processes of formal inferences, and the formal knowledge system. Three types of new structures of mathematics, Concept Algebra (CA), Real-Time Process Algebra (RTPA), and System Algebra (SA), are created to enable rigorous treatment of cognitive processes of the brain as well as knowledge representation and manipulation in a formal and coherent framework. A wide range of applications of CI in cognitive psychology, computing, knowledge engineering, and software engineering has been identified and discussed.

The Theoretical Framework of Cognitive Informatics

2009 ◽  
pp. 44-73
Author(s):  
Yingxu Wang
Keyword(s):  
Cognitive Processes ◽  
Autonomic Computing ◽  
Knowledge Engineering ◽  
Reference Model ◽  
Human Perception ◽  
Theoretical Framework ◽  
Cognitive Informatics ◽  
Rigorous Treatment ◽  
Almost All ◽  
The Brain

Cognitive Informatics (CI) is a transdisciplinary enquiry of the internal information processing mechanisms and processes of the brain and natural intelligence shared by almost all science and engineering disciplines. This article presents an intensive review of the new field of CI. The structure of the theoretical framework of CI is described encompassing the Layered Reference Model of the Brain (LRMB), the OAR model of information representation, Natural Intelligence (NI) vs. Artificial Intelligence (AI), Autonomic Computing (AC) vs. imperative computing, CI laws of software, the mechanism of human perception processes, the cognitive processes of formal inferences, and the formal knowledge system. Three types of new structures of mathematics, Concept Algebra (CA), Real-Time Process Algebra (RTPA), and System Algebra (SA), are created to enable rigorous treatment of cognitive processes of the brain as well as knowledge representation and manipulation in a formal and coherent framework. A wide range of applications of CI in cognitive psychology, computing, knowledge engineering, and software engineering has been identified and discussed.

On the Big-R Notation for Describing Iterative and Recursive Behaviors

2011 ◽  
pp. 292-307
Author(s):  
Yingxu Wang
Keyword(s):  
Mathematical Model ◽  
Software Engineering ◽  
Mathematical Models ◽  
Programming Languages ◽  
Real Time ◽  
Mathematical Treatment ◽  
Time Process ◽  
Control Structures ◽  
Fundamental Properties ◽  
The Mathematical Model

Iterative and recursive control structures are the most fundamental mechanisms of computing that make programming more effective and expressive. However, these constructs are perhaps the most diverse and confusable instructions in programming languages at both syntactic and semantic levels. This article introduces the big-R notation that provides a unifying mathematical treatment of iterations and recursions in computing. Mathematical models of iterations and recursions are developed using logical inductions. Based on the mathematical model of the big-R notation, fundamental properties of iterative and recursive behaviors of software are comparatively analyzed. The big-R notation has been adopted and implemented in Real-Time Process Algebra (RTPA) and its supporting tools. Case studies demonstrate that a convenient notation may dramatically reduce the difficulty and complexity in expressing a frequently used and highly recurring concept and notion in computing and software engineering.

The Theoretical Framework of Cognitive Informatics

2011 ◽  
pp. 1-27 ◽  
Author(s):  
Yingxu Wang
Keyword(s):  
Cognitive Processes ◽  
Autonomic Computing ◽  
Knowledge Engineering ◽  
Reference Model ◽  
Human Perception ◽  
Theoretical Framework ◽  
Cognitive Informatics ◽  
Rigorous Treatment ◽  
Almost All ◽  
The Brain

Cognitive Informatics (CI) is a transdisciplinary enquiry of the internal information processing mechanisms and processes of the brain and natural intelligence shared by almost all science and engineering disciplines. This chapter presents an intensive review of the new field of CI. The structure of the theoretical framework of CI is described, encompassing the Layered Reference Model of the Brain (LRMB), the OAR model of information representation, Natural Intelligence (NI) vs. Artificial Intelligence (AI), Autonomic Computing (AC) vs. imperative computing, CI laws of software, the mechanism of human perception processes, the cognitive processes of formal inferences, and the formal knowledge system. Three types of new structures of mathematics, Concept Algebra (CA), Real-Time Process Algebra (RTPA), and System Algebra (SA), are created to enable rigorous treatment of cognitive processes of the brain as well as knowledge representation and manipulation in a formal and coherent framework. A wide range of applications of CI in cognitive psychology, computing, knowledge engineering, and software engineering has been identified and discussed.

The Cognitive Process of Comprehension

2010 ◽  
Vol 4 (3) ◽  
pp. 44-58 ◽  
Author(s):  
Yingxu Wang ◽  
Davrondzhon Gafurov
Keyword(s):  
Cognitive Processes ◽  
Intelligent Systems ◽  
Cognitive Process ◽  
Process Algebra ◽  
Formal Model ◽  
Reference Model ◽  
Process Models ◽  
Abstract Thought ◽  
Comprehension Process ◽  
The Brain

Comprehension is an ability to understand the meaning of a concept or an action. Comprehension is an important intelligent power of abstract thought and reasoning of humans or intelligent systems. It is highly curious to explore the internal process of comprehension in the brain and to explain its basic mechanisms in cognitive informatics and computational intelligence. This paper presents a formal model of the cognitive process of comprehension. The mechanism and process of comprehension are systematically explained with its conceptual, mathematical, and process models based on the Layered Reference Model of the Brain (LRMB) and the Object-Attribute-Relation (OAR) model for internal knowledge representation. Contemporary denotational mathematics such as concept algebra and Real-Time Process Algebra (RTPA) are adopted in order to formally describe the comprehension process and its interaction with other cognitive processes of the brain.

Formal RTPA Models for a Set of Meta-Cognitive Processes of the Brain

2011 ◽  
pp. 308-324
Author(s):  
Yingxu Wang
Keyword(s):  
Mathematical Model ◽  
Knowledge Representation ◽  
Cognitive Processes ◽  
Process Model ◽  
Object Identification ◽  
Time Process ◽  
Metacognitive Processes ◽  
Internal Information ◽  
The Brain ◽  
Object Attribute

The cognitive processes modeled at the metacognitive level of the layered reference mode of the brain (LRMB) encompass those of object identification, abstraction, concept establishment, search, categorization, comparison, memorization, qualification, quantification, and selection. It is recognized that all higher layer cognitive processes of the brain rely on the metacognitive processes. Each of this set of fundamental cognitive processes is formally described by a mathematical model and a process model. Real-time process algebra (RTPA) is adopted as a denotational mathematical means for rigorous modeling and describing the metacognitive processes. All cognitive models and processes are explained on the basis of the object-attribute-relation (OAR) model for internal information and knowledge representation and manipulation.

scholarly journals Artysta jako nieświadomy neurobiolog. Filmoznawczo-neurokognitywistyczna analiza myśli Hugo Münsterberga i Lwa Kuleszowa

2019 ◽  
Vol 25 (34) ◽  
pp. 137-147
Author(s):  
Hanna Przybysz
Keyword(s):  
Cognitive Processes ◽  
Aesthetic Experience ◽  
Film Studies ◽  
Medical Science ◽  
Human Perception ◽  
Human Cognition ◽  
Cognitive Sciences ◽  
Optical Illusions ◽  
Level Of Consciousness ◽  
The Brain

Przybysz Hanna, Artysta jako nieświadomy neurobiolog. Filmoznawczo-neurokognitywistyczna analiza myśli Hugo Münsterberga i Lwa Kuleszowa [An artist treated as an unconscious neurobiologist in the context of cognitive film studies: Hugo Münsterberg and Lev Kuleshov]. “Images” vol. XXV, no. 34. Poznań 2019. Adam Mickiewicz University Press. Pp. 137–147. ISSN 1731-450X. DOI 10.14746/i.2019.34.08. The history and theory of art have often shown, before the era of neurobiology, cognitive psychology and cognitive science, that great artists are unconscious neurobiologists, activating with their art the areas of the brain of recipients that cause aesthetic experience, and using in their works the principles of perception or optical illusions, unknown to ordinary mortals, and sometimes also to creators at the level of consciousness. The following considerations are intended to approximate and, to some extent, to rehabilitate and save film creators and theoreticians who are being forgotten, the ones who, long before the discoveries of the cognitive sciences, considered theoretically and carried out empirical experiments aimed at showing and explaining the mysteries of human perception and the influence of the film on the viewer. I will present the profiles of the two pioneers of pre-cognitive thought on the basis of film studies: Hugo Münsterberg and Lew Kuleszow. I will show that half a century before neuroscientific research, they dealt with the cognitive processes of human cognition. I will present the contemporary state of cognitive sciences to illustrate the pioneering and legitimacy of visions, intuitions and achievements of the above creators, who are underestimated and forgotten by time and the achievements of “cold” science, although neuroesthetics researchers who have been involved in the problem of perception of works of art and rehabilitation of the merits of the past in the area of neuroscience for some time cannot be denied their achievements. Ignoring their contribution and achievements in the science of cognition, especially as to this day they are continued in research laboratories, in my subjective opinion, equals the potential underestimation of Leonardo da Vinci’s contribution to medical science or Darwin’s to research emotions.

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