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Dec 12, 2024 · Knowledge representation forms the foundation of intelligent behavior, enabling AI systems to simulate human-like reasoning. This article explores the concept of knowledge …

In this course we explore a variety of representation formalisms and the associated algorithms for reasoning. We start with a simple language of propositions, and move on to first order logic, …

Jun 26, 2024 · In artificial intelligence (AI), knowledge representation and reasoning (KR&R) stands as a fundamental pillar, crucial for enabling machines to emulate complex decision …

Oct 23, 2024 · Commonsense knowledge acquisition and representation is a core topic in AI, which is crucial for building more sophisticated and human-like AI systems. Existing …

Knowledge Representation and Reasoning (KRR) is a crucial area in artificial intelligence (AI) that focuses on how knowledge can be formally represented and manipulated to enable machines …

Feb 27, 2024 · Knowledge representation and reasoning are fundamental aspects of artificial intelligence, enabling machines to store, process, and utilize knowledge to make intelligent …

Knowledge representation and reasoning (KR, KRR) is the part of Artificial intelligence which concerned with AI agents thinking and how thinking contributes to intelligent behavior of agents.

Knowledge representation and reasoning is the area of AI concerned with how knowledge can be represented symbolically and manipulated in an automated way by reasoning programs.

In this article, we review some of the basics of this important research area and briefly survey the kinds of techniques typically used for representation in AI programs. We also consider some …

May 23, 2023 · Knowledge representation is crucial in AI because it helps machines reason, make decisions, and solve problems like humans. In this article, we will explore the different …

Jun 16, 2024 · Knowledge Representation and Reasoning (KRR) emerges as a pivotal field within Artificial Intelligence (AI) that focuses on how information about the world can be structured so …

In this section we will become familiar with classical methods of knowledge representation and reasoning in AI. 1.1 The AI Cycle Almost all AI systems have the following components in …

Dec 23, 2024 · Within the complex domain of artificial intelligence (AI), the concept of knowledge representation assumes a crucial role, serving as a fundamental pillar that connects …

In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), vol. 34, no. 03, pp. 3009–3016, April 2020. Google Scholar ... Knowledge representation and …

Feb 7, 2025 · Reasoning supervision encourages model to perform more computations, explicitly eliciting and using latent knowledge through reasoning. To achieve this, we synthesize …

In this course we explore a variety of representation formalisms and the associated algorithms for reasoning. We start with a simple language of propositions, and move on to first order logic, …

Feb 4, 2025 · In subsequent blogs, I will delve deeper into each of the 3 main strategies that details how KI integrates institutional knowledge, business context and human expertise to …

4 days ago · 2. 知识的定义与表达. 什么是知识？如何与数据和信念区分？ 数据（Data）：原始的、未经解释的信息，如 “4, 2, 9”。 知识（Knowledge）：赋予数据语义后形成的可解释信息， …

Feb 4, 2025 · Reframe “manual” tasks as “knowledge-driven” tasks: Managers should take the time to assess the true nature of tasks labeled as “manual” to understand the cognitive effort …

2 days ago · Challenges such as tool integration, knowledge representation, and real-time efficiency remain, but future advancements in adaptive reasoning, reinforcement learning, and …

5 days ago · Visual reasoning in AI is revolutionizing problem-solving. New research enables AI models to "think" visually, and offers an improvement over text-based chain-of-thought …

Abstract. AI models are criticized as being black boxes, potentially subjecting climate science to greater uncertainty. Explainable artificial intelligence (XAI) has been proposed to probe AI …

5 days ago · In this post, we explore the movement of RAG applications from their proof of concept or minimal viable product (MVP) phase to full-fledged production systems. When …