Auto Topic: gates
auto_gates | topic
Coverage Score
1
Mentioned Chunks
17
Mentioned Docs
1
Required Dimensions
definitionpros_cons
Covered Dimensions
definitionpros_cons
Keywords
gates
Relations
| Source | Type | Target | W |
|---|---|---|---|
| Auto Topic: gate | CO_OCCURS | Auto Topic: gates | 11 |
| Auto Topic: gates | CO_OCCURS | Auto Topic: terminals | 7 |
| Auto Topic: gates | CO_OCCURS | Logical Agents | 5 |
Evidence Chunks
| Source | Confidence | Mentions | Snippet |
|---|---|---|---|
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.67 | 8 | ... First-Order Logic Assemble the relevant knowledge What do we know about digital circuits? For our purposes, they are composed of wires and gates. Signals flow along wires to the input terminals of gates, and each gate produces a signal on the output terminal that flows along anothe ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.63 | 5 | nals, signals, and gates. The next step is to choose functions, predicates, and constants to represent them. First, we need to be able to distinguish gates from each other and from other objects. Each gate is represented as an object named by a constant, about which we assert tha ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.59 | 3 | ... ird input is a carry bit. The first output is the sum, and the second output is a carry bit for the next adder. The circuit contains two XOR gates, two AND gates, and one OR gate. Section 8.4 Knowledge Engineering in First-Order Logic 293 In(1,X1) to denote the first input terminal ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.59 | 3 | ... In(n,c))) ∧ (n> i ⇒ In(n,c) = Nothing) ∧ ∀n (n ≤ j ⇒ Terminal(Out(n,c))) ∧ (n> j ⇒ Out(n,c) = Nothing) 294 Chapter 8 First-Order Logic 11. Gates, terminals, and signals are all distinct. ∀g,t,s Gate (g) ∧ Terminal(t) ∧ Signal(s) ⇒ g ̸= t ∧ g ̸= s ∧t ̸= s . 12. Gates are circuits. ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | ... in terms of “rules” and “matching” is purely concep- tual; as noted above, actual implementations can be as simple as a collection of logic gates implementing a Boolean circuit. Alternatively, a “neural” circuit can be used, where the logic gates are replaced by the nonlinear uni ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | ... products on the market would be important. Decide on a vocabulary We now know that we want to talk about circuits, terminals, signals, and gates. The next step is to choose functions, predicates, and constants to represent them. First, we need to be able to distinguish gates fro ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | ... of the circuit, and indeed such simulations are often carried out by circuit designers. We could also introduce more interesting classes of gates, for example, by describing the technology (TTL, CMOS, and so on) as well as the input–output specification. If we wanted to discuss re ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... learning, the publication of books such as Superintelligence by Nick Bostrom (2014), and public pro- nouncements from Stephen Hawking, Bill Gates, Martin Rees, and Elon Musk. Experiencing a general sense of unease with the idea of creating superintelligent ma- chines is only natu ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... inputs are high, what is the output of gate A2? Questions about the circuit’s structure are also interesting. For example, what are all the gates connected to the first input terminal? Does the circuit contain feedback loops? These will be our tasks in this section. There are more ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... al (t) ⇒ Signal(t) =1 ∨ Signal(t) =0 . 3. Connected is commutative: ∀t1,t2 Connected(t1,t2) ⇔ Connected(t2,t1) . 4. There are four types of gates: ∀g Gate (g) ∧ k = Type(g) ⇒ k = AND ∨ k = OR ∨ k = XOR ∨ k = NOT . 5. An AND gate’s output is 0 if and only if any of its inputs is 0 ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... al(In(2,g)) . 8. A NOT gate’s output is different from its input: ∀g Gate (g) ∧ Type(g) =NOT ⇒ Signal(Out(1,g)) ̸= Signal(In(1,g)) . 9. The gates (except for NOT) have two inputs and one output. ∀g Gate (g) ∧ Type(g) = NOT ⇒ Arity(g,1,1) . ∀g Gate (g) ∧ k = Type(g) ∧ (k = AND ∨ k ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... i2 ∧ Signal(Out(1,X1)) =o, which reveals that no outputs are known at X1 for the input cases 10 and 01. Then, we look at the axiom for XOR gates, as applied to X1: Signal(Out(1,X1)) =1 ⇔ Signal(In(1,X1)) ̸= Signal(In(2,X1)). If the inputs are known to be, say, 1 and 0, |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | X1 for the input cases 10 and 01. Then, we look at the axiom for XOR gates, as applied to X1: Signal(Out(1,X1)) =1 ⇔ Signal(In(1,X1)) ̸= Signal(In(2,X1)). If the inputs are known to be, say, 1 and 0, then this reduces to Signal(Out(1,X1)) =1 ⇔ 1 ̸= 0. Now the problem is apparent: ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... hich plays a similar role to the hidden state in basic RNNs. Whereas the word “gate” in circuit design usually connotes a Boolean function, gates in LSTMs are soft—for example, elements of the memory cell vector will be partially forgotten if the corresponding elements of the for ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... at the underlying human preferences. Despite this toolbox of safeguards, there is a fear, expressed by prominent technologists such as Bill Gates and Elon Musk and scientists such as Stephen Hawking and Martin Rees, that AI could evolve out of control. They warn |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | afeguards, there is a fear, expressed by prominent technologists such as Bill Gates and Elon Musk and scientists such as Stephen Hawking and Martin Rees, that AI could evolve out of control. They warn that we have no experience controlling power- ful nonhuman entities with super- ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... , 190, 1096 Gaˇsi´c, M., 588, 1117 Gasquet, A., 402, 1095 Gasser, L., 636, 1088 Gasser, R., 127, 1096 Gat, E., 986, 1096 gate (logic), 292 Gates, B., 51 gating unit (in LSTM), 826 Gatys, L. A., 1034, 1096 Gauci, J., 873, 1096 Gauss, C. F., 188, 515, 735, 1096 Gaussian distributio ... |