A Quest for Knowledge
Is more novel research always desirable? We develop a model in which knowledge shapes society's policies and guides the search for discoveries. Researchers select a question and how intensely to study it. The novelty of a question determines both the value and difficulty of discovering its answer. We show that the benefits of discoveries are nonmonotone in novelty. Knowledge expands endogenously step-by-step over time. Through a dynamic externality, moonshots -- research on questions more novel than what is myopically optimal -- can improve the evolution of knowledge. Moonshots induce research cycles in which subsequent researchers connect the moonshot to previous knowledge.
Code (0)
등록된 구현이 없습니다.
Tasks
Decision MakingSimilar Papers 제목 키워드 기반
Knowledge Detection by Relevant Question and Image Attributes in Visual Question Answering
Visual question answering (VQA) is a Multidisciplinary research problem that pursued through practices of natural language processing and computer vision. Visual question answering automatically answers natural language …
Question AnsweringRetrievalVisual Question AnsweringVisual Question Answering (VQA)Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models
Knowledge-based Visual Question Answering (KVQA) requires both image and world knowledge to answer questions. Current methods first retrieve knowledge from the image and external knowledge base with the original complex …
DisentanglementQuestion AnsweringVisual Question AnsweringWorld KnowledgeK-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition
Visual Question Generation (VQG) is a task to generate questions from images. When humans ask questions about an image, their goal is often to acquire some new knowledge. However, existing studies on VQG have mainly addr…
Common Sense ReasoningQuestion GenerationQuestion-GenerationQuestion Answering over Knowledge Base using Language Model Embeddings
Knowledge Base, represents facts about the world, often in some form of subsumption ontology, rather than implicitly, embedded in procedural code, the way a conventional computer program does. While there is a rapid grow…
Knowledge Base Question AnsweringLanguage ModelingLanguage ModellingQuestion AnsweringMasked Deep Q-Recommender for Effective Question Scheduling
Providing appropriate questions according to a student's knowledge level is imperative in personalized learning. However, It requires a lot of manual effort for teachers to understand students' knowledge status and provi…
Knowledge TracingReinforcement Learning (RL)Scheduling