Auto Topic: intervals
auto_intervals | topic
Coverage Score
1
Mentioned Chunks
19
Mentioned Docs
1
Required Dimensions
definitionpros_cons
Covered Dimensions
definitionpros_cons
Keywords
intervals
Relations
| Source | Type | Target | W |
|---|---|---|---|
| Auto Topic: intervals | CO_OCCURS | Constraint Satisfaction Problem | 7 |
| Auto Topic: intervals | CO_OCCURS | Propositional Logic | 6 |
| Auto Topic: intervals | CO_OCCURS | Auto Topic: moments | 3 |
| Auto Topic: intervals | CO_OCCURS | State-Space Search | 3 |
Evidence Chunks
| Source | Confidence | Mentions | Snippet |
|---|---|---|---|
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.63 | 5 | time intervals for the same reason (Allen, 1984), arguing that intervals were much more natural than situations for reasoning about extended and concurrent events. In van Lambalgen and Hamm (2005) we see how the logic of events maps onto the language we use to talk about events. ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.61 | 4 | us up to the possibility of talking about time points and time intervals. We will consider two kinds of time intervals: moments and extended intervals. The distinc- tion is that only moments have zero duration: Partition({Moments,ExtendedIntervals},Intervals) i∈Moments⇔ Duration( ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.59 | 3 | ... heads or tails), and other complications. 10.3.1 Time Event calculus opens us up to the possibility of talking about time points and time intervals. We will consider two kinds of time intervals: moments and extended intervals. The distinc- tion is that only moments have zero |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | ... n several variations (Sadri and Kowalski, 1995; Shanahan, 1997) and overviews (Shanahan, 1999; Mueller, 2006). James Allen introduced time intervals for the same reason (Allen, 1984), arguing that intervals were much more natural than situations for reasoning about extended and c ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... tments; for example, temporal logic assumes that facts hold at particular times and that those times (which may Temporal logic be points or intervals) are ordered. Thus, special-purpose logics give certain kinds of objects (and the axioms about them) “first class” status within th ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... epts below them, as in Figure 10.1. Section 10.1 Ontological Engineering 333 Anything AbstractObjects Sets Numbers RepresentationalObjects Intervals Places Processes PhysicalObjects Humans Categories Sentences Measurements Moments Things Stuff Times Weights Animals Agents Solid L ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... Finishes(i, j) Equals(i, j) Before(i, j) After(j,i) During(i, j) Overlap(i, j) j j j j j j j i i i i i i i Figure 10.2 Predicates on time intervals. writing axioms. To say that the reign of Elizabeth II immediately followed that of George VI, and the reign of Elvis overlapped wi ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... ro slack are on the critical path, shown with bold arrows. Bottom: the same solution shown as a timeline. Blue rectangles represent time intervals during which an action may be executed, provided that the ordering constraints are respected. The unoccupied portion of a blue rectan ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | epresent time intervals during which an action may be executed, provided that the ordering constraints are respected. The unoccupied portion of a blue rectangle indicates the slack. that the LS and ES computations are done once for each action, and each computation iterates over ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... e. One way to handle continuous variables is with discretization—that is, dividing up the possible valuesDiscretization into a fixed set of intervals. For example, temperatures could be divided into three categories: (<0oC), (0 oC−100oC), and ( >100oC). In choosing the number of c ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | fixed set of intervals. For example, temperatures could be divided into three categories: (<0oC), (0 oC−100oC), and ( >100oC). In choosing the number of categories, there is a tradeoff between loss of accuracy and large CPTs which can lead to slow run times. Another approach is to ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... cation, a specific value of ∆ has to be chosen. Sometimes this is dictated by the sensor; for example, a video camera might supply images at intervals of 1/30 of a second. In other cases, the interval is dictated by the typical rates of change of the relevant variables; for exampl ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... nstruct the motions of the planets from a collection of highly inaccurate angular observations taken at irregular and imprecisely measured intervals. In all these cases, you are doing filtering: estimating state variables (here, the position and velocity of a moving object) from n ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | servations taken at irregular and imprecisely measured intervals. In all these cases, you are doing filtering: estimating state variables (here, the position and velocity of a moving object) from noisy observations over time. If the variables were discrete, we could model the syst ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... e on human life, it is a fact ◀ that tradeoffs on matters of life and death are made all the time.Aircraft are given a complete overhaul at intervals, rather than after every trip. Cars are manufactured in a way that trades off costs against accident survival rates. We tolerate a ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... lem was studied originally in the context of radar tracking of mul- tiple targets, where reflected pulses are detected at fixed time intervals by a rotating radar antenna. At each time step, multiple blips may appear on the screen, but there is no direct observation of which blips ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... this problem, called experience replay, ensures that the car keeps re- Experience replay living its youthful crashing behavior at regular intervals. The learning algorithm can retain trajectories from the entire learning process and replay those trajectories to ensure that its v ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... ion consists of the “instantaneous” specification of two velocities—a translational velocity vt and a rotational velocity ωt. For small time intervals ∆t, a crude deterministic model of the motion of such robots is given by ˆXt+1 = f (Xt,vt,ω t at ) = Xt + vt∆t cosθt vt∆ ... |