The input to an agent program is the same as the input to the agent function. $$ true $$ false

The "Sense$-$Think$-$Act" cycle is fundamental to the "classical paradigm" of AI$.$ Otrue $$ false

Human expertise cannot be adequately modeled as a set of rules. Otrue $$ false

Complete Agents exploit their body properties to keep the computational load on their brain

low. Otrue Ofalse

Intelligence requires a body, e$.$g$.,$ if the material properties of an agent's muscle$-$tendon

system is exploited, rapid locomotion is easily achieved. Otrue Ofalse

Systems that are not embodied suffer from the symbol$-$grounding problem, because there is

always a human interpreter in the loop. Otrue $$ false

Bi$-$pedal walking for robots is possible without computer control. $$ true $$ false

Embodiment is prerequisite for any kind of intelligence. Otrue $$ false

Language is a good example for "scaffolding". Otrue Ofalse

Deep neural networks are omniscience except for challenging from interpretability.

Otrue Ofalse

Uniform$-$cost search is a special case of $A**$ search. Otrue $O$ false

Depth$-$first search is a special case of best$-$first tree search. Otrue $$ false

$h(n)=0$ is an admissible heuristic for the $8-$puzzle. Otrue $$ false

Q$-$learning is one typical deep reinforcement learning. Otrue Ofalse

The frame of reference problem states that an observer should be careful when deducing

internal mechanisms from external behavior. Otrue Ofalse

In the real world, in contrast to virtual ones, there is always a higher level of uncertainty

present. Otrue Ofalse

The "dualist view" has created the "mind$-$body problem" which is essentially about the

relation between the mind and the body, in particular the brain. Otrue Ofalse

Chess programs have been so successful because in the game of chess there are only few

possible states. Otrue $O$ false

AlphaGo by Google as an AI robot has passed the famous Turing Test. Otrue $$ false