Artificial intelligence(AI) is, arguably, the most important movement in the modern technology industry. Conceptually, AI focuses on modeling human-like, intelligent, thinking processes and behaviors using computer systems. In order to accomplish its goal, AI must leverage foundational knowledge from many disciplines.
Traditionally, people associate AI with areas such as computer science and neuroscience. “However, there are several other disciplines such as economics, philosophy or psychology that are equally influential on different AI areas. As the study of domain such as neuroscience can provide a strong technical framework for AI systems, other domains such as economics or psychology can influence higher order behaviors on AI solutions.
The fascinating thing about AI is that it drives influences from half a dozen disciplines without projecting any obvious conflicts. That characteristic contrasts with other areas of computer science that are based on a single domain. Knowing some of the foundational disciplines behind AI, it could be interesting their specific areas of impact and influence.
Psychology Influence in AI
There are different disciplines within psychology that have a marked influence o. among those, cognitive psychology theories provide a robust foundation to model areas such as perception and communication as information systems. Other areas such as Behavior Theory are also relevant to AI systems.
Economics Influence in AI
The influence of economics in AI systems has resulted essential on decision making and evaluation techniques. While most people associate economics with money, economists like of think of themselves as students of decision making processes and its corresponding outcomes.
Decision Theory provides the principles of decision making processes which are incredibly relevant to AI systems. Some of the work of Israeli psychologists Danny Kahneman and Amos Tversky in decision making theory is likely to influence AI systems for decades to come.
Game theory is another economics discipline that is very relevant in AI techniques such as adversarial neural networks.
Philosophy Influence in AI
The influence of philosophy in AI systems might not seem immediately obvious. However, philosophy schools of thought are very influential in AI areas such as knowledge modeling and the relationship between knowledge and actions. Philosophy theories such as Rationalist, Materialism or Logical Positivism are very relevant in the modeling of AI systems. Recent developments in areas of philosophy such as Confirmation Theory are very influential on popular AI disciplines like Reinforcement Learning.
Neuroscience Influence in AI
Neuroscience can be considered the most influential discipline for modern AI systems. As neuroscientists make inroads understanding how the brain process information, new AI theories and techniques are likely to emerge to reflect the latest neuroscience discoveries.