Type 1: Reactive Machines.
An example is Deep Blue, an IBM chess program that can identify pieces on the chess board and can make predictions accordingly. But the major fault with this is that it has no memory and cannot use past experiences to inform future ones. It also analyzes possible moves of its own and its opponents. Deep Blue and AlphaGO were designed for narrow purposes and cannot easily be applied to any other situation.
Type2: Limited Memory.
These AI systems can use past experiences to inform future decisions. Most of the decision-making functions in the autonomous vehicles have been designed in this way.
Type 3: Theory of mind
This is a psychology term, which refers to the understanding that the other have in their own beliefs and intentions that impact the decisions they make. At present this kind of artificial intelligence does not exist.
Type4: Self-awareness
In this category, AI systems have a sense of self, have consciousness. Machines with self-awareness understand their current state and can use the information to infer what others are feeling. This type of AI does not yet exist.
Final Destination for Kerala PSC Notes and Tests, Exclusive coverage of KPSC Prelims and Mains Syllabus, Dedicated Staff and guidence for KPSC Kerala PSC Notes brings Prelims and Mains programs for Kerala PSC Prelims and Kerala PSC Mains Exam preparation. Various Programs initiated by Kerala PSC Notes are as follows:-
- Kerala PSC Mains Tests and Notes Program
- Kerala PSC Prelims Exam 2024- Test Series and Notes Program
- Kerala PSC Prelims and Mains Tests Series and Notes Program
- Kerala PSC Detailed Complete Prelims Notes