Table of Contents
- 1 What is computational intelligence and where is it going?
- 2 What is the difference between computational intelligence and artificial intelligence?
- 3 What are the 6 concepts behind computational thinking?
- 4 Where is computational intelligence used?
- 5 What is Computational Intelligence (CI)?
- 6 What are some real-life applications of computational intelligence?
What is computational intelligence and where is it going?
Summary. What is Computational Intelligence (CI) and what are its relations with Artificial Intelligence (AI)? In this view AI is a part of CI focused on problems related to higher cognitive functions, while the rest of the CI community works on problems related to perception and control, or lower cognitive functions.
What is the difference between computational intelligence and artificial intelligence?
In the modern context, computational intelligence tends to use bio-inspired computing, like evolutionary and genetic algorithms. AI tends to prefer techniques with stronger theoretical guarantees, and still has a significant community focused on purely deductive reasoning.
Is computational intelligence Machine Learning?
SoftComputing is the collocation for the same fields as CI expanded with Probabilistic Reasoning, Swarm Intelligence, and partly Chaos Theory. Natural Computation assembles mathematical methods, which are inspired by solution patterns from nature. The mathematical basis are mainly Machine Learning methods.
What is soft computing describe computational intelligence?
Soft computing is the use of approximate calculations to provide imprecise but usable solutions to complex computational problems. Soft computing is sometimes referred to as computational intelligence. Soft computing provides an approach to problem-solving using means other than computers.
What are the 6 concepts behind computational thinking?
The characteristics that define computational thinking are decomposition, pattern recognition / data representation, generalization/abstraction, and algorithms. By decomposing a problem, identifying the variables involved using data representation, and creating algorithms, a generic solution results.
Where is computational intelligence used?
The main applications of Computational Intelligence include computer science, engineering, data analysis and bio-medicine.
What is mL model?
A machine learning model is a file that has been trained to recognize certain types of patterns. You train a model over a set of data, providing it an algorithm that it can use to reason over and learn from those data.
What is heuristic function?
A heuristic function, also simply called a heuristic, is a function that ranks alternatives in search algorithms at each branching step based on available information to decide which branch to follow. For example, it may approximate the exact solution.
What is Computational Intelligence (CI)?
Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms. Traditionally the three main pillars of CI have been Neural Networks, Fuzzy Systems and Evolutionary Computation. However, in time many nature inspired computing paradigms have evolved.
What are some real-life applications of computational intelligence?
Computational Intelligence, which sometimes is also referred to as soft computing, is very useful in addressing real-life problems. CI uses algorithms/approaches like fuzzy logic, neural network, evolutionary theory, learning theory and probabilistic theory, which makes it a good fit for real-life complex problems.
Is computational intelligence the future of Technology?
Technology depends upon discovery, and discovery upon the advancement of technology; that is certainly the case with Computational Intelligence. It is almost a “catch 22” situation. Good science produces theories that are explored through experimentation and the experiments depend upon the theories for direction.
What is the difference between artificial intelligence and computer intelligence (CI)?
Bezdek and Marks (1993) clearly differentiated CI from AI, by arguing that the first one is based on soft computing methods, whereas AI is based on hard computing ones.