Questions tagged [symbolic-ai]
For questions related to symbolic artificial intelligence, which is also known as good old-fashioned artificial intelligence (GOFAI), which is an expression coined by John Haugeland in his 1985 book "Artificial Intelligence: The Very Idea".
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Symbolic AI in the medical field, specifically in diagnosing a patients condition. Have i understood the concept behind how it works?
This scenario should demonstrate just how the system along with the rule works in a medical diagnosis where the symptoms of the patient are evaluated by the system to determine what condition he/she ...
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What is the "state of the art" in (at least partially) symbolic/logic-based chat bots/AI assistants?
ChatGPT has had a lot of buzz around it recently, and for good reason. It has shown some amazing capabilities in responding to new information, as well as in generalizing new information that has been ...
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Is there a most general-purpose unsupervised learning algorithm?
I was thinking about training a model on non-linguistic material like video, and I was wondering if it could form concepts about the world, and also somehow form composite concepts or conceptual ...
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Could GPT3 be integrated with GOFAI programming to improve its ability to acquire new knowledge?
In my limited experience with AI chatbots (Replika, Sophie, etc.) they immediately fail the Turing test if I try to teach them some simple fact, or ask them to recall something that I said a few ...
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Are there techniques to somehow "rank" these URIs based on other properties?
I am using Stanford's Stanza pipeline to perform Named Entity Recognition on news articles.
For every NE span of type PERson I am attempting to link corresponding DBPedia entities (Named Entity ...
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How to relate the definition for entailment, with soundness and completeness?
Is it fair enough to say for a language model, φ, which makes certain variable A true, and if φ also makes another variable B true, then we can conclude:
A ⊨ B
And for a certain inference calculus c,...
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Is logic AI a complement to learning AI?
I want to know the relation between logic AI and learning AI.
Logic AI here refers to the branch of AI that is based on mathematical logic. Learning AI refers to the branch of AI that is based on ...
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Does Godel's incompleteness theorems restricts the scope of connectionist-AI?
It is well-known that Godel's incompleteness theorems restricted the reachability of symbolic-AI, which is dependent on mathematical logic.
But, I am wondering whether it has any impact on the ...
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Are the capabilities of connectionist AI and symbolic AI the same?
The universal approximation theorem says that MLP with a single hidden layer and enough number of neurons can able to approximate any bounded continuous function. You can validate it from the ...
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Is there any other (possibly less popular) approach to create AI apart from statistical methods?
From what I have gathered so far, an AI has some prior (stored in the form of some probability distribution), and, based on experiences/data, changes the distribution (via Bayes rule) accordingly. ...
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What is the difference between "Syllogism" and "Law of Syllogism"?
The logical arguments are the basis for Artificial Intelligence. That is why I picked AI community to ask my question.
Reading from Wikipedia,
A syllogism is a kind of logical argument that applies ...
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Do these FOL formula both represent "You can fool some of the people all of the time"?
You can fool some of the people all of the time.
This can be represented in FOL as follows
$$\exists x \; \forall t \; (\text{person}(x) \land \text{time}(t)) \Rightarrow \text{can-fool}(x,t) \tag{1}...
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Why is symbolic AI not so popular as ANN but used by IBM's Deep Blue?
Everybody is implementing and using DNN with, for example, TensorFlow or PyTorch.
I thought IBM's Deep Blue was an ANN-based AI system, but this article says that IBM's Deep Blue was symbolic AI.
Are ...
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What are recent AI software systems and research papers close to J. Pitrat's ideas?
J. Pitrat (born in 1934) was a French leading artificial intelligence scientist (the first to get a Ph.D. in France mentioning "artificial intelligence"). His blog is still online and of ...
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How to calculate the optimal placements for settlements in Catan without an ML algorithm?
Is it possible to calculate the best possible placements for settlements in Catan without using an ML algorithm?
While it is trivial to simply add up the numbers surrounding the settlement (highest ...
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Is it possible to do K-nearest-neighbours before training DNN
The following X-shape alternated pattern can be separated quite well and super fast by K-nearest Neighbour algorithm (go to https://ml-playground.com to test it):
However, DNN seems to face great ...
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Developmental systems that try to explain or understand the reward value in the reinforcement learning?
Are there methods (possibly logical or (how they are called in the literature) relational) that allows for the developmental systems to understand or explain the value of the received reward during ...
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Is explainable AI more feasible through symbolic AI or soft computing?
Is explainable AI more feasible through symbolic AI or soft computing?
How much each paradigm, symbolic AI and soft computing (or hybrid approaches), addresses explanation and argumentation, where ...
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Is there any AI system for finding the best way to schedule university classes?
I was wondering whether there is an AI system which could be used to resolve the class clashes problem which mostly happens in universities. In almost every university students face this problem, ...
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Shouldn't Gödel's incompleteness theorems disprove the physical symbol system hypothesis?
According to the Wikipedia page of the physical symbol system hypothesis (PSSH), this hypothesis seems to be a vividly debated topic in philosophy of AI. But, since it's about formal systems, shouldn'...
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Can (trained) neural networks be combined with symbolic AI to perform operations like AND?
Does anyone work out ways of relating trained neural networks by symbolic AI?
For example, if I train a network on pictures of dogs, and I train a network on pictures of shirts. You could imagine that ...
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Is the expert system still in use today?
In my country, the Expert System class is mandatory, if you want to take the AI specialization in most universities. In class, I learned how to make a rule-based system, forward chaining, backward ...
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What are the differences in scope between statistical AI and classical AI?
What are the differences in scope between statistical AI and classical AI?
Real-world examples would be appreciated.
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Historical weakness of GOFAI in relation to partisan combinatorial games?
I was recently perusing the paper Some Studies in Machine Learning Using the Game of Checkers II--Recent Progress (A.L. Samuel, 1967), which is interesting historically.
I was looking at this figure, ...
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What kinds of problems can AI solve without using a deep neural network?
A lot of questions on this site seem to be asking "can I use X to solve Y?", where X is usually a deep neural network, and Y is often something already addressed by other areas of AI that ...
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What are some interesting recent papers that synthesize symbolic AI with Deep Learning?
A lot of people seem to be under the impression that combining GOFAI and contemporary AI will make models more general. I'm particularly interested in reasoning through analogy or case-based reasoning....
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Which rules should I define for the predicate "not_to_far" of the exercise 1.1 of the book "Simply Logical: Intelligent Reasoning by Example"?
I've just started reading a book about AI. The book is Simply Logical: Intelligent Reasoning by Example. There is a very basic exercise (on page 19 of the pdf, page 5 of the book), but I can't figure ...
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Is anybody still researching GOFAI?
A lot of textbooks and introductory lectures typically split AI into connectionism and GOFAI (Good Old Fashioned AI). From a purely technical perspective, it seems that connectionism has grown into ...
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How can thought vectors be used outside of an Artificial Neural Network (ANN) context?
We hear a lot today about how thought vectors are the Next Big Thing in AI, and how they serve as the underlying representation of thought/knowledge in ANN's. But how can one use thought vectors in ...
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What kind of body (if any) does intelligence require?
In the mid 1980s, Rodney Brooks famously created the foundations of "the new AI". The central claim was that the symbolist approach of 'Good Old Fashioned AI' (GOFAI) had failed by attempting to '...
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In what ways can connectionist AI be integrated with GOFAI?
In what ways can connectionist artificial intelligence (neural networks) be integrated with Good Old-Fashioned A.I. (GOFAI)? For instance, how could deep neural networks be integrated with knowledge ...
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Can rule induction be considered a way to "hybridize" probabilistic / statistical approaches and symbolic approaches?
In years past, GOFAI (Good Old Fashioned AI) was heavily based on "rules" and symbolic computation based on rules. Unfortunately, that approach ran into stumbling blocks, and the world moved heavily ...
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What are some examples of Classical AI applications?
I believe that Classical AI uses deductive thought processes. For example, given as a set of constraints, deduce a conclusion.
What are some examples of successfully applying Classical AI to real-...
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