Cardano
How does Cognitive Bias Impacts Artificial Intelligence?
The interpretation of human-level explanations by humans complicates the computation of AI systems in ML
The study of human cognition at its most fundamental level, known as basic cognitive processing, is called cognitive science. Psychology, neurology, and cognitive neuroscience are the main fields of study for cognitive science. Many of their discoveries have significant applications to AI, namely the discipline of machine learning. Interestingly, research in neurophysiology and micro-mapping supports the notion that complex mental operations can be explained at the system level. AI systems operate in many ways like simplified versions of our brains.
Every day, AI becomes more intelligent. AI will be liable to the same restrictions as people if it attains a level of intelligence similar to that of humans. The interpretation and formation of human-level explanations by humans complicate the computation of AI systems in ML. Principles of intuition and brain research suggest that people have particular preferences for interpreting facts even before they express them. But if we rely on AI too much, we risk underestimating the importance of human behavior. Furthermore, even while AI systems are improving in a myriad of ways, we still do not fully understand how humans accomplish similar but more difficult tasks in these fields. Even when we attempt to define what is “human,” the distinctions become increasingly hazy.
The availability heuristic, which asserts that people typically depend more on data that confirms their present ideas, is a notable cognitive bias when it relates to AI choices. We frequently gravitate toward the most relevant or logical interpretation of the given evidence when faced with conflicting or ambiguous data. This tactic may work in certain circumstances, but in many, it can lead to an unbreakable unending loop of failure. Memory leakages, which happen when algorithms depend heavily on heuristics for decision-making and end up depending on irrelevant or outdated information, are a classic example.
Humans prefer to use heuristics while making decisions, which is easy to observe (or so we believe), but these biases are automatic and unconscious, making them challenging to identify. There is every reason to think that humans have been utilizing biases in daily life since the days of the hunter-gatherer culture for a very long time. Many of the skills that humans possess today, such as language and math, have already been acquired with the aid of various learning strategies, such as mirroring. Learning information is not difficult. Our brain can swiftly decode it.
To assert that bias still plays a small role in human decision-making would be incorrect. Even though improved filtering methods are constantly being developed, there is currently no single solution for AI advancement. We are aware that AI and human minds are both still susceptible to error. This implies that no AI system will ever completely replace a person in any of its computations, regardless of how proficient neural networks evolve at anticipating the next course of action.
Since cognitive biases are rooted in human nature and are unlikely to disappear, AI systems will need to consider them. An AI system that is perfect cannot be made. The methods currently in use can only be enhanced, optimized, and refined while providing every other part of the system a human-like quality. The more you are aware of cognitive bias, the more effectively you can use ML and AI.
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Original Source: https://www.analyticsinsight.net/how-does-cognitive-bias-impacts-artificial-intellige…
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Popular Cardano-based decentralized exchange WingRiders has lost its position as the most valuable DEX on Cardano.
WingRiders slumped from the first position to third after losing more than 59% of the total value locked (TVL) on the platform in the past 30 days.
At the time of writing this line, WingRiders is now the third-largest DEX by total value locked, with a TVL of $19.66 million. It is noteworthy that WingRiders maintained the top spot for more than two months, claiming 42% of TVL On Cardano. However, the DEX has fallen from glory ever since.
Minswap Is Now Cardano’s Most Valuable DEX
The development also affected the total value locked on Cardano. The total value locked on Cardano has fallen below $100 million in the last 30 days after the WingRiders TVL slumped.
Interestingly, Minswap has taken the lead to become the most valuable decentralized exchange on Cardano after the massive decline of WingRiders’ TVL.
At press time, Minswap is leading, with a $49.09 million total value locked on the platform. The DEX hit the milestone after recording a massive growth of 30.9% in its TVL in the past 30 days. Minswap accounts for 51.82% of the total value locked on Cardano.
SundaeSwap, the first decentralized exchange on Cardano, is now the second most valuable DEX in the ecosystem. SundaeSwap is second in the ranking, with $19.72 million in TVL.
Like WingRiders, SundaeSwap has also lost a significant amount of its TVL over the past 30 days. In the past month, SundaeSwap has lost nearly 10% of the funds locked on the platform.
Commenting on the development, Cardano Daily, a platform that shares new developments about Cardano, said:
“After the major decline of @wingriderscom, the TVL scenario of the Cardano ecosystem has stabilized back to normal as we have seen in the past few weeks. @MinswapDEX still led the ecosystem with $51M TVL, contributing 50% of the ecosystem.”
CARDANO TVL STATUS
After the major decline of @wingriderscom, the TVL scenario of the @Cardano ecosystem has stabilized back to normal as we have seen in the past few weeks. @MinswapDEX still led the ecosystem with $51M TVL, contributing 50% of the ecosystem#tvl #cardano $ADA pic.twitter.com/xjZ6cHo8jX
— Cardano Daily (@cardano_daily) August 9, 2022
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