Questions tagged [knowledge-representation]

For questions about methods/intuitions/proofs/improvements in the knowledge representation in a problem to be solved by Artificially Intelligent agent.

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Which structure for this knowledge graph?

I'm currently building a knowledge graph for students based on the textbook. However, I found out that some knowledge are treated as axioms in lower grade but deduction in higher grade. Since I treat ...
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How do I show the relationship between theories and models using Conceptual Graphs?

The Mereology Theory below contains three first-order axioms that represent a part of a mereology theory. For this posting, it is important that the set of axioms should be considered as a theory. ...
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What algorithm to use to classify data by spatial relations?

Let's assume I have dataset of image-like 2D samples where values can be divided into few discrete levels (for example 1, 2, 3 and 4) like in the image below, where each color maps different value, ...
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How could human behavior and relationships be implemented? [closed]

One of the most compelling issues regarding AI would be in behavior and relationships. What are some of the methods to address this? For example, friendship, or laughing at joke? The concept of ...
1 vote
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I am trying to use RCC8 algebra relations and axioms in order to tackle the following problem : We consider the below configuration and square $x$ such that "$x$ NTPP $a$" and "$x$ TPP $... 1 vote 0 answers 42 views Knowledge representation and reasoning(KRR) over a Image scene: Neurosymbolic AI What are the ways and SOTA in domain of knowledge representation and reasoning over scene. Suppose there are 3 objects in the scene and which objects needs to be picked first among them is governed by ... 2 votes 0 answers 367 views How are theories represented using Conceptual Graphs? Theory 1 shows three axioms and two definitions, written in First Order Logic (FOL), that represents a fragment of a mereology theory. For this posting, it is important that the set of axioms is ... 11 votes 2 answers 614 views Is anybody still using Conceptual Dependency Theory? Roger Schank did some interesting work on language processing with Conceptual Dependency (CD) in the 1970s. He then moved somewhat out of the field, being in Education these days. There were some ... 4 votes 2 answers 316 views What does Brooks mean by "representation"? For a class, I'm reading Brooks' "Intelligence without representation". The introduction is dedicated to slating representation as a focus for AI development. I've read that representation ... 2 votes 2 answers 82 views How to mathematically/logically represent the sense of sentences like "The cat drinks milk"? I am absolutely new in the AI area. I would like to know how to mathematically/logically represent the sense of sentences like: The cat drinks milk. Sun is yellow. I was at work yesterday. So, that ... 2 votes 0 answers 820 views How do I translate these English sentences into first-order logic without quantifiers? I have to translate the following English sentences into First-Order Logic without using quantifiers: Everyone on flight 815 has a story. No one knows what is inside the hatch. Someone on the island ... 1 vote 0 answers 12 views Is there some way for us to know if the neural network internally finds an association between labels? I have a question about the association between labels. Say my neural network performs multi-labeling in its output layer. Now, if one of the labels is for whether a person lives in city$X$, another ... 3 votes 2 answers 2k views What are the differences between a knowledge base and a knowledge graph? During my readings, I have seen many authors using the two terms interchangeably, i.e. as if they refer to the same thing. However, we all know about Google's first quotation of "knowledge graph&... 1 vote 0 answers 56 views Apart from ontologies, which other methods for knowledge representation are there in Artificial Intelligence? From what I have been reading, I see statements like Ontology is a common method used for knowledge representation in artificial intelligence. But there is never really a discussion around what ... 4 votes 3 answers 172 views What would be a good internal language for an AI? For an AI to represent the world, it would be good if it could translate human sentences into something more precise. We know, for example, that mathematics can be built up from set theory. So ... 7 votes 2 answers 463 views How would "wisdom" be defined in AI? For years, I have been dealing with (and teaching) Knowledge Representation and Knowledge Representation languages. I just discovered that in another community (Information Systems and the such) there ... 1 vote 1 answer 192 views How can I draw a conceptual dependency for the statement "Place all ingredients in a bowl and mix thoroughly"? I stumbled across a question asking to draw a conceptual dependency for the following statement: Place all ingredients in a bowl and mix thoroughly My attempt so far Explanation: Both the sender ... 2 votes 0 answers 43 views How to add prior information when predicting using deep learning models? Background I'm building a binary classification model for a pair match problem using CNN, e.g. whether person A1 likes product B1 or not. Model input features are sequence features (text descriptions) ... 3 votes 0 answers 59 views Is the Assumption-based Truth Maintenance System still used? Is the Assumption-based Truth Maintenance System still used to maintain consistency while explicitly accounting for assumptions? 4 votes 3 answers 184 views Given statements$A$and$B$, are the formulae$(\lnot A) \land (\lnot B)$and$(\lnot A) \lor (\lnot B)$equivalent? If I have 2 statements, say$A$and$B$, from which I formed 2 formulae:$f_1: (\lnot A) \land (\lnot B)f_2: (\lnot A) \lor (\lnot B)$Are$f_1$and$f_2$equivalent? 14 votes 3 answers 2k views What roles knowledge bases play now and will play in the future? Nowadays, artificial intelligence seems almost equal to machine learning, especially deep learning. Some have said that deep learning will replace human experts, traditionally very important for ... 2 votes 1 answer 380 views What is the difference between a semantic network and an ontology? What is the difference between a semantic network and an ontology? How are they related? I have not found any article that describes how these two concepts are related. 11 votes 5 answers 6k views Why do we need common sense in AI? Let's consider this example: It's John's birthday, let's buy him a kite. We humans most likely would say the kite is a birthday gift, if asked why it's being bought; and we refer to this reasoning ... 2 votes 1 answer 190 views Are Relational DBs and SQL used in Expert Systems? In the book Prolog Programming for Artificial Intelligence, a large and intricate chapter (chapter 14) is dedicated to Expert Systems. In these systems, a knowledge-database is represented through ... 8 votes 1 answer 2k views What is the difference between logic-based and rule-based AI? I always thought rule-based was synonymous with logic-based AI. Logic has axioms and rules of inference, whereas rule-based AI has a knowledge base (essentially, axioms) and if-then rules to create ... 5 votes 2 answers 720 views When is a knowledge base consistent? I am studying a knowledge base (KB) from the book "Artificial Intelligence: A Modern Approach" (by Stuart Russell and Peter Norvig) and from this series of slides. A formula is satisfiable ... 2 votes 3 answers 203 views Who is working on explaining the knowledge encoded into machine learning models? [duplicate] The thing about machine learning (ML) that worries me is that "knowledge" acquired in ML is hidden: we usually can't explain the criteria or methods used by the machine to provide an answer ... 8 votes 3 answers 391 views What is meant by "known" in "A knowledge-base exhibits complete knowledge if and only if, for every$P$,$P$or$\neg P\$ is known"?

I have a question as to what it means for a knowledge-base to be consistent and complete. I've been looking into non-monotonic logic and different formalisms for it from the book "Knowledge ...
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Did Turing foresee the required capabilities to pass the Turing test?

In Section 1.1 of Artificial Intelligence: A Modern Approach, it is stated that a computer which passes the Turing Test would need 4 capabilities, and that these 4 capabilities comprise most of the ...
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How would we define a set that contains itself within a knowledge ontology?

How would we define a set that contains itself within a knowledge ontology? I am thinking that set membership would probably inherit from a generic base class of total containment from which both ...
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How would an AI understand grids?

OK, now I think an AI must view grids in a different way to computers. For example a computer would represent a grid like this: ...
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Has any schema-agnostic database engine been implemented?

Has any schema-agnostic database engine been implemented?
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Is unsupervised disentanglement really impossible?

In Locatello et al's Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations he claims to prove unsupervised disentanglement is impossible. His entire claim is ...
1 vote
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Is there any readily available concept/topic tree?

I am looking for dataset in tree structure that captures the hierarchy of concepts. For example, something like, ...
1 vote
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What is the difference between Knowledge Representation and Automated Reasoning?

Knowledge Representation and Automated Reasoning are two AI subfields which seem to have something to do with reasoning. However, I can't find any information online about their relationship. Are ...
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Formulation of a sentence using FOL

I want to formulate the following sentence using FOL; I want also to know whether there any contradictions in it, or if it is consistent. Assuming human relations are binary: All Human Relations ...
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What are the current trends/open questions in logics for knowledge representation?

What are the future prospects in near future from a theoretical investigation of description logics, and modal logics in the context of artificial intelligence research?
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Learning similarities between customers and offers representation

I am interested in a framework for learning the similarity of different input representations based on some common context. I have looked into word2vec, SVD and siamese networks, all of which are ...
1 vote
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Training an AI to play Starcraft 2 with superhuman level of performance?

I'm interested in working on challenging AI problems, and after reading this article (https://deepmind.com/blog/deepmind-and-blizzard-open-starcraft-ii-ai-research-environment/) by DeepMind and ...
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As a starter: what is the form of training data for image processing

What we are doing in the image processing training. We are storing some form of data which is going to act as the knowledge or experience of the system. In which form can the system store it's ...
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Answer Set Programming - Make a Fact INVALID

I have a question regarding Answer Set Programming on how to make an existing fact invalid, when there is already (also) a default statement present in the Knowledge Base. For example, there are two ...