Can a computer make a decision like a human? What a new study says

Can a computer make a decision like a human

We are the generations which are a witness of various researches on computers across the world. From the evolution of the computers to where it has reached today is a great story to mankind.

The new research was published in the May issue of IEEE/CAA Journal of Automatica Sinica (JAS) which shows that computers can make a decision like humans.

A team of British researchers developed a method that enables the computer’s to make a decision in a way that is more similar to humans.

Just to remember research done by Oxford University that tried to recreate human-like thinking in computers.

Human decision makings are also variable, it is not similar to everybody. With the same input different decision may happen, this is called variability, and it exists on two levels: among a group of individuals who are experts in a field, and among the decisions that have been made by just one expert.

These are referred to as inter-and intra-expert variability. Having established that this variation in decision-making behavior is an important part of making expert systems, the researchers propose that, rather than expecting computers to make the same decisions 100% of the time, they should instead be expected to perform at the same level as humans.

“If the problem domain is such that human experts cannot achieve 100% performance, then we should not expect a computer expert system in this domain to do so, or to put it another way: if we allow human experts to make mistakes, then we must allow a computer expert system to do so,” says Jonathan M. Garibaldi, Ph.D., Head of School of Computer Science at the University of Nottingham, UK, who leads the Intelligent Modelling and Analysis (IMA) Research Group.

Researchers are taking Artificial Intelligence here as to help in treating problems and helping in decision making. It can add more values to doctors decisions while treating patients and to avoid wrong decisions by doctors.

“Computers are not taking over but simply providing more decisions,” added Garibaldi. “This is time- and ultimately life-saving because disasters happen as a result of sub-optimal care. Computers can help avoid the glaring mistake that humans make as ‘adjunct experts’ in the room that rule out the wrong decisions and errors by providing a set of alternative decisions, all of which could be correct.”

“Exploring variation in decision making is useful. Introducing variation in a carefully controlled manner can lead to better performance,” says Garibaldi. “Unless we allow computer systems to make the same mistakes as the best humans, we will delay the benefits that may be available through their use,” he adds further.

Researchers expect the system to be used for medical purposes such as treating cancers and other illness and this will be an add-on to doctors decision of curing a patient.  

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