The Inner Self: Finding the Cause of Action, Thinking Over the Doings (Record no. 16571)

MARC details
000 -LEADER
fixed length control field 02460nam a22001817a 4500
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.019
Item number D535I
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Dhulipalla, Nikhila
245 ## - TITLE STATEMENT
Title The Inner Self: Finding the Cause of Action, Thinking Over the Doings
Statement of responsibility, etc by Nikhila Dhulipalla
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication IIT Jodhpur
Name of publisher Department of Computer Science and Technology
Year of publication 2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages xii, 37p.
Other physical details HB
520 ## - SUMMARY, ETC.
Summary, etc The concept of metacognition is a framework that allows an artificial intelligence system to think about what it thinks. This enables it to perform various tasks such as memory representation, retrieval, and mining. Complex constructs in metacognition are important factors that affect the development of artificial intelligence systems that can learn and use memory. Various metacognition and memory elements are used in designing and developing AI systems designed to perform missions. One of these is the ability to make a judgment about the amount of information it has available to complete a task. This is done through the Emergent Behavior concept, which allows a system to maintain its attention while performing the analytical process. The use of the genetic algorithm in engineering is regarded as an adaptive technique that can be used to solve complicated problems. This meta-heuristic approach is commonly used in hybrid computation. It utilizes mutation operators, selection, and crossover techniques to manage the system strategy. The genetic algorithm is derived from the concepts of natural selection and genetics. It can be used to improve the performance of a coverage framework by utilizing a random search method. These techniques are often used in statistical analysis to find a suitable solution to a given problem or prevent an error-prone strategy from being implemented in a search. They were developed from genetics or natural selection principles. The project aims to create a meta-cognitive phase that cognitive architectures may leverage to execute essential tasks using the Evolutionary Algorithm like Genetic Algorithm in MIDCA architecture. This is one of the first attempts to integrate a Genetic Algorithm into the metacognitive phase and reason out based on the energy consumption on a real-time residential dataset.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Department of Computer Science and Technology
Topical Term Metacognition
Topical Term MTech Theses
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Waghmare, Rahul G
Personal name Vatsa, Mayank
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Source of acquisition Full call number Accession Number Price effective from Koha item type
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Reference 2024-06-28 Office of Academics 004.019 D535I TM00506 2024-06-28 Thesis