Data Science and Distributed AI

• Published in: Distributed Artificial Intelligence Vol. 1; pp. 291 - 320
• Main Author: Radhika, V.
• Format: Book Chapter
• Language: English
• Published: CRC Press 2021
• Edition: 1
• Subjects: Creation Framework; Information Choices; Issue Arrangement; Information Trustworthiness; Smart Specialists; CES Score; HSH; Distributed Sensor Networks; Critical Thinking Frameworks; Ai Calculation; Framework Association; Prep; Client Criticism; Roundabout; DAI; CES; Vox Media; PSV; Word References; Image Fusion; Perceptual Cone; Authoritative Structure; QIR; CSAT; Writing Board
• ISBN: 9780367638825; 0367466651; 0367638827; 9780367466657
• DOI: 10.1201/9781003038467-18

Novel methods in the execution of different enormous assignments are conceivable with digitalization. The progression in digitalization profoundly influences industry, science, and advancement. Information Science is the simple term in digitalization that incorporates data acquisition and processing. Data Sensor Networks (DSNs) demands by voicing current equipment plans and imperatives while holding boundless. Situation Assessment (SA) includes a system of data makers and customers dealing with data that shifts by area, a measure of conglomeration, and the level of deliberation. To replace typical data, a Process Assembly Network (PAN) is introduced to represent and predict the belief systems of its relevant neighbors. HSII has been designed as an AI system organization suitable for expressing knowledge-based problem-solving strategies in which appropriately organized subject matter, knowledge may be represented as knowledge sources capable of contributing their knowledge in a parallel data directed fashion. AI Agora is a project of the Department of Information Technology and Media Studies and is a lecture and discussion series on the theory and applied science of artificial intelligence.