LEADER 05130nam 22006855 450 001 9911022157803321 005 20250826130219.0 010 $a9783032035936 024 7 $a10.1007/978-3-032-03593-6 035 $a(CKB)40420267100041 035 $a(MiAaPQ)EBC32271553 035 $a(Au-PeEL)EBL32271553 035 $a(DE-He213)978-3-032-03593-6 035 $a(EXLCZ)9940420267100041 100 $a20250826d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPrompting Causal Events /$fby Jordi Vallverdú 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (133 pages) 225 1 $aSpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,$x2196-5498 311 08$a9783032035929 327 $aDedication -- Preface -- Acknowledgments -- 1. A Technical Introduction to Prompting -- 2. The Language of Causality -- 3. Goal-Oriented Prompting -- 4. Role-Based Prompting -- 5. Structure-Based Prompting -- 6. Tool- and Function-Based Prompting.-7. Memory and Contextual Prompting -- 8. Reasoning-Based Prompting -- Chapter 9. Self-Improving Prompting -- 10. Evaluation-Based Prompting -- 11. Workflow Prompting -- Chapter 12. Creative Prompting -- 13. Ethical Prompting -- 14. Causal Prompting in Practice -- 15. Conclusion: The Art and Theory of Prompting -- Appendix 1. Prompting Techniques Taxonomy.-Appendix 2. Comparative Atlas of Prompting Techniques by Causal Function -- Appendix 3. Glossary -- Appendix 4: The Causal Prompt Canvas. 330 $aPrompting marks a paradigmatic shift in how we engage with artificial intelligence?transforming static interfaces into dynamic conversations, reshaping the relationship between user intent, system behavior, and knowledge production. This book invites readers into that frontier, tracing the contours of prompting as a methodology for causal understanding across diverse academic and applied domains. At its heart, prompting democratizes computational reasoning. It lowers the threshold of expertise required to interrogate complex systems, analyze data, and simulate outcomes. Where once deep technical skill was necessary to extract insights from models or datasets, prompting enables a new kind of user?one who crafts queries, scenarios, and simulations with natural language, guided by discipline-specific rigor and cognitive intent. This transformation is especially urgent in the realm of causality, a concept as contested as it is essential. Across centuries, philosophers, scientists, statisticians, and legal scholars have debated its meaning, its measurement, and its manifestations. This book does not aim to resolve those disputes; instead, it offers a set of practical strategies to work with them?mobilizing the capabilities of generative AI to support causal reasoning tailored to disciplinary norms and constraints. Generative AI can engage in multimodal causal inference?connecting language with images, charts, simulations, and numerical data. This ability to traverse modes of representation opens new pathways for inquiry, particularly in science, education, and design. Prompting, therefore, is not simply a communication layer. It is a new medium for causal thought. The future of causality may not belong to machines or humans alone. It will belong to those who master the art of asking better questions. The author will guide the readers through the full spectrum of prompting techniques?from role simulation and reasoning chains to creative generation and ethical constraints. Whether you are a researcher, educator, policymaker, or student, this book is designed to enhance your fluency in a language we are all still learning to speak: the language of generative epistemics. 410 0$aSpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,$x2196-5498 606 $aArtificial intelligence 606 $aMachine learning 606 $aCognitive neuroscience 606 $aComputers$xHistory 606 $aScience$xPhilosophy 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aStatistical Learning 606 $aCognitive Neuroscience 606 $aHistory of Computing 606 $aPhilosophy of Science 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aCognitive neuroscience. 615 0$aComputers$xHistory. 615 0$aScience$xPhilosophy. 615 14$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aStatistical Learning. 615 24$aCognitive Neuroscience. 615 24$aHistory of Computing. 615 24$aPhilosophy of Science. 676 $a006.3 700 $aVallverdú$b Jordi$0755843 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911022157803321 996 $aPrompting Causal Events$94429443 997 $aUNINA