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dc.contributor.advisorKaykobad, M.
dc.contributor.advisorKaykobad, Tanvir
dc.contributor.authorHaque, Md. Mahbub-Ul
dc.contributor.authorSur, Surid Imam Khan
dc.contributor.authorShahriar, Rehnuma Binta
dc.contributor.authorSaha, Supti Rani
dc.date.accessioned2022-03-09T09:58:32Z
dc.date.available2022-03-09T09:58:32Z
dc.date.copyright2021
dc.date.issued2021
dc.identifier.otherID 17201117
dc.identifier.otherID 18101421
dc.identifier.otherID 18101428
dc.identifier.otherID 18101156
dc.identifier.urihttp://hdl.handle.net/10361/16438
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 60-61).
dc.description.abstractThis thesis simulates the behavior of predators and preys observed between a pack of wolves and a deer herd during a hunting scenario. We use the Boids flocking algorithm, an artificial life model developed by Craig Reynolds to simulate the deer herd. We have also enriched the existing algorithm to help flocks recognize their surroundings, like their neighbors and predators, and react accordingly. The pack of wolves has a leader, and they coordinate as a group isolating a deer from the herd and then capturing it. To implement the predator’s behavior and intelligence, we have developed some algorithms applying their hunting procedure. A part of the research is to explore simple rules that the wolves can follow to achieve their hunting goals. We have also worked on the concept of the Convex Hull algorithm, that can help the predators define their attack positions. Interruptions in the hunting environment between prey and predators that affects the actions of preys and predators have also been studied. In this experiment, actions by the prey and predators are compared in terms of realism.en_US
dc.description.statementofresponsibilityMd. Mahbub-Ul Haque
dc.description.statementofresponsibilitySurid Imam Khan Sur
dc.description.statementofresponsibilityRehnuma Binta Shahriar
dc.description.statementofresponsibilitySupti Rani Saha
dc.format.extent61 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectSimulation and modellingen_US
dc.subjectBoidsen_US
dc.subjectFlockingen_US
dc.subjectPredatoren_US
dc.subjectPreyen_US
dc.subject.lcshArtificial intelligence
dc.subject.lcshComputer algorithms.
dc.titleComputer-generated artificial life model: algorithm for hunters hunting preysen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science


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