# Questions tagged [problem-solving]

For questions about AI problem solving in terms of approaches, theory, logic, and other aspects where the problem is well defined and the objective is to find a solution to the problem.

33 questions
Filter by
Sorted by
Tagged with
73 views
+50

### Solving a planning if finding the goal state is part of the problem

I having trouble finding some starting points for solving an occupancy problem which seems like a good candidate for ai. Assume the following situation: In a company I have n cars and m employees. ...
187 views

### How can I formulate the k-knights problem as a constraint satisfaction problem?

There are three things in every constraint satisfaction problem (CSP): Variables Domain Constraints In the given scenario, I know how to identify the constraints, but I don't know how to identify ...
81 views

### Which AI Technique best suited to discovering non-linear relationships in data?

I am interested in exploring whether AI techniques can derive hidden patterns of relationships in a data set. For example, from among house size, lot size, age of house and asking price, what ...
30 views

### Algorithm to solve a fault independent of its type

I am looking to plan a solution for a workspace fault and not hardware faults. Consider a task where a robot has to move balls from one place to another. In case it faces any condition which is ...
21 views

### Which AI algorithm is great for mapping between two XML files

My work colleague got a project with a lot of work that is not hard or complicated. The problem is simple but it is a lot of work. We have two XML files with a lot of variables in it. Not only is ...
20 views

### How to create a text adventure for a puck collecting robot?

A robot simulation is provided, which was created with the Box2d physics engine. The human operator can rotate the robot around it's current position, he can open the gripper and it's possible to move ...
36 views

### Use deep learning to rank video scenes

I'm new to machine learning and especially, deep learning. Given a video (and it's subtitle), I need to generate a 10-second summary out of this video. How can I use ML and DL to produce the most ...
71 views

### Why is a mix of greedy and random usually “best” for stochastic local search?

I read that a mix of "greedy" and "random" are ideal for stochastic local search (SLS), but I'm not sure why. It mentioned that the greedy finds the local minima and the randomness avoids getting ...
55 views

### Can AC-3 algorithm solve N-Queens problem?

I am building CSP NQueens solver and apply the AC-3 algorithm.But,the domain reduction doesn't occur and gets more search time.How does it happen?Is it a nature of AC-3 algorithm?
1k views

### Problems that only humans will ever be able to solve

With the increasing complexity of reCAPTCHA, I wondered about the existence of some problem, that only a human will ever be able to solve (or that AI won't be able to solve as long as it doesn't ...
136 views

### Artificial intelligence in the public and global sector

Today, AI is mainly driven by own-profit-oriented companies (e.g. Facebook, Amazon, Google). Admittedly, there's a lot of AI in the health sector (even in the public health sector) and there's a lot ...
92 views

### What are daily life examples of SAT problems?

What are (good) daily life examples of SAT problems? I've thought about this one. The problem of placing a bunch of different kinds of glasses in a shared cabinet in such a way that some constraints ...
54 views

### How do I model the blocked N queens problem as a search problem?

The blocked N-queens is a variant of the N-queens problem. In the blocked N-queens problem, we also have a NxN chess board and N queens. Each square can hold at most one queen. Some squares on the ...
43 views

### How to analyze data before going for machine learning training?

For example, I have the following csv: training.csv I want to know how I can determine which column will be the best feature for getting the output prediction before I go for machine training. Please ...
175 views

### Could it be possible to detect text, symbols, and components directly in a scanned PDF file with a program like Tensorflow or another program?

I have this problem where I need to get information out of PDF document sent from a scanner. The program needs to be learnable in some way to recognize what different figures mean. Most of this should ...
439 views

### How to improve efficiency of backtracking?

Backtracking search is the basic uninformed algorithm for CSPs (constraint satisfaction problems). What are the directions along which backtracking efficiency can be improved ?
1k views

### What is successor function?

In CSP (Constraint Satisfaction Problem) state is a "black box"- any data structure that supports a successor function, heuristic function, and goal test. What is the successor function ?
3k views

### What is an objective function?

Local search algorithms are useful for solving pure optimization problems, in which the aim is to find the best state according to an objective function. My question is what is the objective function ?...
6k views

### What are the limitations of the hill climbing algorithm and how to overcome them?

What are the limitations of the hill climbing algorithm? How can we overcome these limitations?
60 views

### Doubts at basic step of learning problem

Question: Express each of the following tasks in the framework of learning from data by specifying the input space X, output space Y, target function f:X->Y and the specifics of the data set that we ...
28 views

### How to solve problem: pairwise grouping to maximise score

Sorry, the title is bad because I don't even know what to call this problem. I have a set of n objects ...
71 views

### Developing character tactics via repeated trials

Let's assume a common game scenario of several characters in a combat arena. Each character has different strengths and weaknesses. The arena has traps and tools. Suppose the characters had only very ...
110 views

### Measuring Soft Skill

How can we attach numerical value to the measurement of soft skill? Is there any book, site or materials that can teach me how to do this? I want to know if there is any way we can measure soft skill ...
13k views

### Are there real applications of fuzzy logic?

This question covers in detail, what fuzzy logic is and how it relates to other math fields, such as boolean algebra and sets theory. This question is also very related, but the answers are focused ...
136 views

### Are there any load balancing approaches for employee cases based on complexity score?

In working with a social services agency that provides a continuum of programs across the behavioral health and child welfare spectrum the need to adequately manage individual worker and total program ...
50 views

### Relation between the number of goals remaining and using the wrong operator in a General Problem Solver

In Peter Norvig's Paradigms of Artificial Intelligence Programming, chapter 4, which is about the all-famous General Problem Solver (GPS). In this chapter, the author asks a question (4.4), which is ...
97 views

### Would linked Watson supercomputers be even “smarter” than one Watson?

If you had a web of linked Watson-level super-computers, would they be more effective at problem-solving than a single Watson computer alone? For example, if you asked the Watson-web to diagnose a ...
56 views

### Lets suppose that we have an AI that can interpret requests

In this case, the request is a thing which we asked AI to do, not necessarily using commands. Nowadays, we have our personal AI in our devices: Siri by Apple, Cortana by Microsoft, and so on. For ...
113 views

### Using ConceptNet5 to find similar systems to solve specific problems?

I installed a local running instance of the ConceptNet5 knowledgebase in an elasticsearch server. I used this data to implement the so-called "Analogietechnik" (a creativity technique to solve a ...
605 views

### Are ReLUs incapable of solving certain problems?

Background: I've been interested in, and reading about, Neural Networks for several years, but I haven't gotten around to testing them out until recently. Both for fun and to increase my understanding,...
771 views

### Could an AI think laterally while avoiding “ethically suboptimal” choices?

In the recent PC game The Turing Test, the AI ("TOM") needs help from Ava to get through some puzzle rooms. TOM says he is unable to solve the puzzles because he is not allowed to "think laterally." ...