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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32 views

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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27 views

Papers on using symbolic methods as constraint on neural network?

Given a set of constraints on the input data, I am looking for papers that discuss using symbolic methods (decision trees, rule based, etc.) as a separate source of certainty in a classification task. ...
5
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3answers
241 views

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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3answers
132 views

Best ways of leveraging AI for stock market trading

What are the current popular approaches to leveraging AI for stock price prediction? It seems like there could be several approaches and problem formulations: Supervised learning: Regression: ...
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2answers
225 views

What are some examples of classical AI methods?

All of the attention in the AI field over the past few years has been toward statistical AI, now that Machine Learning has been validated on hard problems. However, I want to learn more about ...
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1answer
134 views

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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3answers
1k views

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 ...
3
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1answer
73 views

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 http://ml-playground.com to test it): However, DNN seems to face great ...
2
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0answers
29 views

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 ...
2
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1answer
71 views

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 hydrid approaches), adresses explanation and argumentation, where ...
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1answer
115 views

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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3answers
165 views

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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2answers
2k views

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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1answer
741 views

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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1answer
187 views

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, ...
6
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3answers
264 views

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 ...
2
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1answer
118 views

What are the types of artificial intelligence and how are they measured? [closed]

I was reading an interesting book about the role of AI in Cybersecurity, and the author mentioned there being 3-4 types. Each one is dependent on its abilities and understanding. For example, a ‘...
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299 views

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....
7
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2answers
822 views

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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1answer
175 views

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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1answer
411 views

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 '...
3
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1answer
280 views

In what ways can connectionist A.I. 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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1answer
73 views

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 ...
6
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1answer
3k views

What are some examples of Classical AI?

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 ...