Cognitive Modeling Systems in Information Technology, Psychology, and Business

Cognitive Modeling Systems in Information Technology, Psychology, and Business

Tom Adi (The Readware Institute, USA)
Release Date: January, 2017|Copyright: © 2017 |Runtime: 1 hr 44 mins
EISBN13: 9781522522607|DOI: 10.4018/978-1-5225-2260-7


The ways in which humans perceive and interpret the surrounding world are affected by numerous factors. By utilizing new theories for information processing, these applications can be transferred to different domains.

Cognitive Modeling Systems in Information Technology, Psychology, and Business provides novel insight into an emerging scientific method and its implementations across diverse fields. Including pivotal discussions on emotional processes and information retrieval, this video is an ideal resource for academics, researchers, graduate students, professionals, and practitioners actively involved in information technology, psychology, and business.

Topics Covered

  • Consumer Choice
  • Emotional Processes
  • Information Retrieval
  • Linguistic Analysis
  • Synthetic Emotions
  • Text Analysis

Table of Contents

2:07 mins
Section 1:How Cognition Works
Lesson 1:Sounds Symbolize Cognitive Templates that are Complex, Abstract and Vague
15:46 mins
Lesson 2:Cognitive Templates Symbolized by Sounds are Interpreted Involuntarily
10:28 mins
Lesson 3:Our Cognitive Models are Generated by Interpreting Word Root Sound Templates
9:41 mins
Section 2:Modeling with Advanced Cognitive Elements
Lesson 4:Manifestation and Containment
12:03 mins
Lesson 5:Psychological Models with Compound Abstract Processes
12:11 mins
Lesson 6:More Cognitive Models for Psychology
12:01 mins
Section 3:Building a Cognitive Ontology for a Field of Study
Lesson 7:A Cognitive Ontology of Psychology: The Basics
12:44 mins
Lesson 8:Mechanisms of the Cognitive Ontology of Psychology
6:34 mins
Lesson 9:Toward a Cognitive Ontology of Consumer Choices
10:44 mins

Author(s)/Editor(s) Biography

Tom Adi is the lead researcher and teacher at the Readware Institute in Gainesville, Florida. He is a computer scientist and linguist who has been studying the nature of language, learning and creativity for three decades. His basic discovery is called Deep Semantics which basically shows how the sounds of alphabets symbolize abstract concepts that combine into words that give us principles of research, decision-making, and discovery. The website offers a simplified introduction into this research and its applications in Information Technology and beyond.