This summary explores how physics and economics have influenced each other over time, from Isaac Newton to modern times. It talks about the different ways physics and financial economics see the world, using examples like the volatility smile and the excess volatility puzzle. The Ising model, a physics concept, is used to understand social and financial systems. This model helps explain things like random choices in financial markets. By building on the Ising model, researchers have created various models to understand financial bubbles and crashes. Agent-based models, a type of computational model, are also important for studying financial markets. A key idea proposed is the 'Emerging Intelligence Market Hypothesis', linking noise traders to market efficiency. Overall, the relationship between physics and economics, along with insights from evolutionary biology, sheds light on how financial markets work.