Library Catalogue
Application of artificial intelligence in judicial decision making
Yadu Krishnan
Application of artificial intelligence in judicial decision making - BangaloreBangalore NLSIU 2014 - 137 p. ; 25 cm.
Contents RESEARCH METHODOLOGY ; Chapter-1 ; 1. INTELLIGENCE AND IT'S IMPORTANCE ; 1.1 HISTORY OF THE TERM ; a. PRE SOCRATIC STAGE ; b. SOCRATIC STAGE ; c. MEDIEVAL STAGE ; d. MEDEIVAL ISLAMIC PHILOSOPHY ; e. CHRISTIAN PHILOSOPHY OF INTELLIGENCE ; f. MODERN PHILOSOPHY OF INTELLIGENCE ; 1.2 DEFINITION OF INTELLIGENCE ; PSYCHOLOGIST DEFINITIONS ; COLLECTIVE DEFINITIONS ; 1.2.1 HUMAN INTELLIGENCE ; 1.3 THEORIES OF INTELLIGENCE ; Faculty theory ; One factor/UNI factor theory ; Spearman's two-factor theory ; Thorndike's multifactor theory ; Thurstone's theory: Primary mental abilities/Group factor theory ; GUILFORD'S MODEL OF STRUCTURE OF INTELLECT ; VERNON'S HIERARCHICAL THEORY: CATTELL'S FLUID AND CRYSTALLIZED THEORY ; GARDENER'S THEORY OF MULTIPLE INTELLIGENCE ; ANDERSON'S THEORY: COGNITIVE DEVELOPMENT ; EYSENCK'S STRUCTURAL THEORY ; CECI'S BIOLOGICAL THEORY ; THEORY OF EMOTIONAL INTELLIGENCE ; 1.5 MEASURING OF INTELLIGENCE; 1.6 ANIMAL AND PLANT INTELLIGENCE ; 1.7 KINDS OF INTELLIGENCE ; 1.8 DIFFERENCE BETWEEN INTELLIGENCE AND KNOWLEDGE ; Chapter 2 ; ARTIFICIAL INTELLIGENCE ; 2.1 ARTIFICIAL INTELLIGENCE: CONCEPT AND DEFINITION ; 2.2 HISTORY OF ARTIFICIAL INTELLIGENCE; CONCEPTION OF AI (1943-1955) ; THE BIRTH OF AI (1956) ; ADOLESCENCE OF AI (1952-1969) ; YOUTHFULNESS OF AI (1969-1979) ; MATURITY AND COMMERCIALIZATION OF AI (1980-present) ; 2.3 RELATED CONCEPTS ABOUT AI ; General Artificial Intelligence ; The AI and Consciousness ; Weak and Strong AI ; Turing Test ; 2.4 COMPARISON OF HUMAN AND COMPUTER SKILLS ; 2.5 PRACTICAL SYTEMS BASED ON AI ; THE DEVELOPMENT OF LOGIC ; 2.6 COMPONENTS OF A.I ; 2.7 INTRODUCTION TO KNOWLEDGE ; TYPES OF KNOWLEDGE ; 2.8 KNOWLEDGE REPRESENTATION ; 2.9 KNOWLEDGE ACQUISITION ; 2.10 KNOWLEDGE ORGANIZATION AND MANAGEMENT; BASIC CONCEPTS OF KNOWLEDGE ENGINEERING ; 2.11 APPLICATIONS OF ARTIFICIAL INTELLIGENCE; 2.12 EXPERT SYSTEMS ; WORKING OF EXPERT SYSTEMS ; ADVANTAGES ; DISADVANTAGES ; 2.13 POSITIVE AND NEGATIVE ASPECTS OF ARTIFICIAL INTELLIGENCE ; Chapter-3 ; APPLICATION OF ARTIFICIAL INTELLIGENCE IN JUDICIAL DECISION MAKING ; 3.1 E-JUDICIARY AND ARTIFICIAL INTELLIGENCE - A COMPARISON ; Filing an application via web service; Service for companies and corporations filing numerous applications for a summons (Santra system) ; 3) E- FILING OF PLEADINGS ; 3.2 VOICE RECOGNITION TECHNIQUE AND COURTS; 3.3 VOICE RECOGNITION AND THE LAWYER ; 3.4 VOICE RECOGNITION AND THE CHALLENGES ; 3.5 THE CRIMINAL LIABILITY OF ARTIFICIAL INTELLIGENT ENTITIES ; 3.6 WHAT IS AN ARTIFICIAL INTELLIGENCE ENTITY?; 3.7 THREE MODES OF THE CRIMINAL LIABILITY OF ARTIFICIAL INTELLIGENCE ENTITIES; 3.8 GENERAL PUNISHMENT ADJUSTMENT CONSIDERATIONS ; CONCLUSION ; BIBLIOGRAPHY .
Application of artificial intelligence in judicial decision making - BangaloreBangalore NLSIU 2014 - 137 p. ; 25 cm.
Contents RESEARCH METHODOLOGY ; Chapter-1 ; 1. INTELLIGENCE AND IT'S IMPORTANCE ; 1.1 HISTORY OF THE TERM ; a. PRE SOCRATIC STAGE ; b. SOCRATIC STAGE ; c. MEDIEVAL STAGE ; d. MEDEIVAL ISLAMIC PHILOSOPHY ; e. CHRISTIAN PHILOSOPHY OF INTELLIGENCE ; f. MODERN PHILOSOPHY OF INTELLIGENCE ; 1.2 DEFINITION OF INTELLIGENCE ; PSYCHOLOGIST DEFINITIONS ; COLLECTIVE DEFINITIONS ; 1.2.1 HUMAN INTELLIGENCE ; 1.3 THEORIES OF INTELLIGENCE ; Faculty theory ; One factor/UNI factor theory ; Spearman's two-factor theory ; Thorndike's multifactor theory ; Thurstone's theory: Primary mental abilities/Group factor theory ; GUILFORD'S MODEL OF STRUCTURE OF INTELLECT ; VERNON'S HIERARCHICAL THEORY: CATTELL'S FLUID AND CRYSTALLIZED THEORY ; GARDENER'S THEORY OF MULTIPLE INTELLIGENCE ; ANDERSON'S THEORY: COGNITIVE DEVELOPMENT ; EYSENCK'S STRUCTURAL THEORY ; CECI'S BIOLOGICAL THEORY ; THEORY OF EMOTIONAL INTELLIGENCE ; 1.5 MEASURING OF INTELLIGENCE; 1.6 ANIMAL AND PLANT INTELLIGENCE ; 1.7 KINDS OF INTELLIGENCE ; 1.8 DIFFERENCE BETWEEN INTELLIGENCE AND KNOWLEDGE ; Chapter 2 ; ARTIFICIAL INTELLIGENCE ; 2.1 ARTIFICIAL INTELLIGENCE: CONCEPT AND DEFINITION ; 2.2 HISTORY OF ARTIFICIAL INTELLIGENCE; CONCEPTION OF AI (1943-1955) ; THE BIRTH OF AI (1956) ; ADOLESCENCE OF AI (1952-1969) ; YOUTHFULNESS OF AI (1969-1979) ; MATURITY AND COMMERCIALIZATION OF AI (1980-present) ; 2.3 RELATED CONCEPTS ABOUT AI ; General Artificial Intelligence ; The AI and Consciousness ; Weak and Strong AI ; Turing Test ; 2.4 COMPARISON OF HUMAN AND COMPUTER SKILLS ; 2.5 PRACTICAL SYTEMS BASED ON AI ; THE DEVELOPMENT OF LOGIC ; 2.6 COMPONENTS OF A.I ; 2.7 INTRODUCTION TO KNOWLEDGE ; TYPES OF KNOWLEDGE ; 2.8 KNOWLEDGE REPRESENTATION ; 2.9 KNOWLEDGE ACQUISITION ; 2.10 KNOWLEDGE ORGANIZATION AND MANAGEMENT; BASIC CONCEPTS OF KNOWLEDGE ENGINEERING ; 2.11 APPLICATIONS OF ARTIFICIAL INTELLIGENCE; 2.12 EXPERT SYSTEMS ; WORKING OF EXPERT SYSTEMS ; ADVANTAGES ; DISADVANTAGES ; 2.13 POSITIVE AND NEGATIVE ASPECTS OF ARTIFICIAL INTELLIGENCE ; Chapter-3 ; APPLICATION OF ARTIFICIAL INTELLIGENCE IN JUDICIAL DECISION MAKING ; 3.1 E-JUDICIARY AND ARTIFICIAL INTELLIGENCE - A COMPARISON ; Filing an application via web service; Service for companies and corporations filing numerous applications for a summons (Santra system) ; 3) E- FILING OF PLEADINGS ; 3.2 VOICE RECOGNITION TECHNIQUE AND COURTS; 3.3 VOICE RECOGNITION AND THE LAWYER ; 3.4 VOICE RECOGNITION AND THE CHALLENGES ; 3.5 THE CRIMINAL LIABILITY OF ARTIFICIAL INTELLIGENT ENTITIES ; 3.6 WHAT IS AN ARTIFICIAL INTELLIGENCE ENTITY?; 3.7 THREE MODES OF THE CRIMINAL LIABILITY OF ARTIFICIAL INTELLIGENCE ENTITIES; 3.8 GENERAL PUNISHMENT ADJUSTMENT CONSIDERATIONS ; CONCLUSION ; BIBLIOGRAPHY .