S R Jena – författare

WHY THIS BOOK?A rapidly warming climate is stretching forests beyond historical envelopes: longer fire seasons, flashier floods, synchronized pest outbreaks, and compound extremes that make yesterday's rules unsafe. At the same time, data and computation have leapt ahead: anyone with a laptop can access daily satellite imagery, fuse it with tower cameras and stream gauges, run open-source models, and coordinate crews using offline apps. Yet there is a gap between possibility and practice. Toolkits remain scattered across disciplines; documents assume bandwidth, budgets, or institutional capacity that field teams rarely have; and many plans underplay social license and safety—two determinants of whether good ideas persist.This book aims to bridge science, operations, and governance. It offers a coherent playbook to: Predict—not just map—risk, and act early (fire spread, culvert failure, flood routing, landslide probability, invasive fronts). Repair hydrology before planting, because water and soil are the slow variables that keep fast dynamics stable. Use AI and remote sensing responsibly for monitoring, reporting, and verification (MRV) that lowers transaction costs and invites outcome-based finance. Design portfolios rather than silver bullets: assisted natural regeneration plus enrichment planting; shaded fuel breaks plus cultural burning; riparian buffers plus floodplain reconnection; drones where terrain is dangerous, crews where judgment isessential. Center communities via FPIC, benefit-sharing rules, and participatory mapping, so the people who live with forests are co-owners of decisions and rewards. Operate ethically with role-based access, sensitive-site masking, and explicit human review for high-consequence actions. Iterate with A/B pilots, blameless after-action reviews, and model updates that make each season smarter than the last.We wrote for a world where managers are asked to deliver more with less—and to be simultaneously fast, safe, transparent, and fair. The intention is to compress learning cycles without compromising legitimacy. Target AudienceThis book is for practitioners, students, and decision-makers who meet forests where physics, finance, and politics intersect. Forest managers and restoration leads will find planning templates, SOPs with safety cut-offs, and "e;minimum viable"e; tech stacks that work offline. Policy makers and regulators will find outcome-aligned procurement, transparent MRV, and governance patterns that make permits and enforcement smarter rather than heavier. Community leaders and NGOs can use participatory mapping guides, benefit-sharing designs, and review questions to translate technical options into community choices. Researchers and students gain a cross-disciplinary bridge: process models and AI methods grounded in field constraints, with pointers to open data and standards. Private sector operators—mills, logistics, tourism—will see how traceability and verified outcomes improve market access and reduce risk.We assume basic familiarity with GIS and ecology, but we do not assume high bandwidth or large budgets. Examples and diagrams favor "e;good enough"e; methods that scale in challenging environments.

ABOUT THE BOOKThe World is witnessing a remarkable shift in the trajectory of Artificial Intelligence—from systems that merely react to stimuli or process data to agents capable of autonomous decision-making, goal pursuit, moral reasoning, and social interaction. This transformation calls for a new conceptual and practical framework: Agentic AI. The term denotes intelligent systems that operate as agents—autonomous entities with beliefs, desires, intentions, and the ability to act toward achieving objectives within dynamic environments. These agentic systems are not only reactive or predictive but deliberative and proactive. They can plan, adapt, collaborate, and even evolve in ways that mirror cognitive, emotional, and social intelligence.CHAPTERSPREFACEWhy Agentic AI?Scope and Purpose of This BookHow to Use This BookPart I: Foundations of Agentic IntelligenceChapter 1: Introduction to Agentic AIChapter 2: Theoretical UnderpinningsChapter 3: Cognitive Architectures and ModelsChapter 4: Autonomy and EmbodimentPart II: Architectures and Engineering of Agentic SystemsChapter 5: Core Agent ArchitecturesChapter 6: Planning and Goal ManagementChapter 7: Memory and World ModelsChapter 8: Perception and Attention MechanismsChapter 9: Learning in Agentic AIChapter 10: Communication and InteractionPart III: Building Agentic AI in PracticeChapter 11: Frameworks and ToolkitsChapter 12: Agent Simulation and TrainingChapter 13: Ethics and AlignmentChapter 14: Agentic Failure ModesPart IV: Advanced Topics and the Future of Agentic AIChapter 15: Agentic AI and ConsciousnessChapter 16: Agent Societies and Collective IntelligenceChapter 17: Agentic AGI and Existential RiskChapter 18: Agentic AI Applications ABOUT THE AUTHORSMr. Soumya Ranjan Jena is a Designated Partner at SRJX RESEARCH AND INNOVATION LAB LLP. He holds Hon. (Dr.) from Graham International University, USA, and is pursuing a PhD from Suresh Gyan Vihar University, Jaipur, Rajasthan, India and Post-Doctoral Fellowship at NextGen University, USA.Mr. Sanjoy Saha is the Director of Susmita Electronics Private Limited and pursuing PhD from Suresh Gyan Vihar University, Jaipur, Rajasthan, India.Dr. Sohit Agarwal is currently serving as an Associate Professor and Head of the Department of Computer Engineering and Information Technology at Suresh Gyan Vihar University, Jaipur, Rajasthan, India.Dr. Raj Kumar is presently working as an Assistant Professor in Department of Mechanical Engineering at Suresh Gyan Vihar University, Jaipur, Rajasthan, India.

ABOUT THE BOOK:This book is intended for the students who are pursuing courses in B.Tech/B.E. (CSE/IT), M.Tech/M.E. (CSE/IT), MCAand M.Sc (CS/IT). The book covers different crucial theoretical aspects such as of Automata Theory, Formal Language Theory, Computability Theory and Computational Complexity Theory and their applications. This book can be used as a text or reference book for a one-semester course in theory of computation or automata theory. It includes the detailed coverage of Introduction to Theory of Computation, Essential Mathematical Concepts, Finite State Automata, Formal Language & Formal Grammar, Regular Expressions & Regular Languages, Context-Free Grammar, Pushdown Automata, Turing Machines, Recursively Enumerable & Recursive Languages, Complexity Theory. Key Features:« Presentation of concepts in clear, compact and comprehensible manner« Chapter-wise supplement of theorems and formal proofs« Display of chapter-wise appendices with case studies, applications and some pre-requisites« Pictorial two-minute drill to summarize the whole concept« Inclusion of more than 200 solved with additional problems« More than 130 numbers of GATE questions with their keys for the aspirants to have the thoroughness, practice and multiplicity« Key terms, Review questions and Problems at chapter-wise termination  What is New in the 2nd Edition:« Introduction to Myhill-Nerode theorem in Chapter-3« Updated GATE questions and keys starting from the year 2000 to the year 2018«Simulation through JFLAP Simulator