EXECUTIVE FORUM 2019 / A.I. & BUSINESS ENVIRONMENT / LUGANO KEYINSIGHTS #2
WE ARE CONNECTED
Nowadays we are all connected, and an high level of connection increase the complexity of a system. A complex system (CS) has more disruptive events, and we want to find a way to deal with them.
COMPLEX SYSTEMS
A CS is neither deterministic, nor random, as its behavior emerges from the interaction of single agents. It has no central control, and it always communicates with the external environment.
(NON)DETERMINISTIC
We grew up believing in determinism, so it may be hard for some to accept the idea that the world operates as a CS. This topic has been debated over the centuries by many philosophers.
COMMUNICATION VS COMPUTATION
AI helps us to take decision in CSs through the use of “Complex adaptive systems” (CAS) which through communication (not computation as with Neural networks) suggest the best actions an agent can take.
COMPLEXITY PROPERTIES
CAS are made by many autonomous Agents connected to each other in different ways. The Agents’ interaction can generate new properties in the CAS, and they can also evolve and organize themselves impacting the whole system.
COMPLEX ADAPTIVE SYSTEMS
The idea behind them is that when you are dealing with CSs you should always be ready to deal with disruptive events. It is not just risk management, because you may face unexpected problems, and yet you must react immediately in the best way possible.
