Logical Functions as an Idealization of Swarm Behavior

2020 ◽  
pp. 141-155
Author(s):  
Andrew Schumann
Keyword(s):  
Swarm Behavior ◽  
Logical Functions

Meteorological Measurement Systems

2001 ◽  
Author(s):  
Fred V. Brock ◽  
Scott J. Richardson
Keyword(s):  
Dynamic Performance ◽  
Measurement Systems ◽  
Sensor Performance ◽  
Performance Specifications ◽  
Meteorological Measurement ◽  
Design Type ◽  
Static Sensitivity ◽  
And Function ◽  
Logical Functions ◽  
Source Of Error

This book treats instrumentation used in meteorological surface systems, both on the synoptic scale and the mesoscale, and the instrumentation used in upper air soundings. The text includes material on first- and second-order differential equations as applied to instrument dynamic performance, and required solutions are developed. Sensor physics are emphasized in order to explain how sensors work and to explore the strengths and weaknesses of each design type. The book is organized according to sensor type and function (temperature, humidity, and wind sensors, for example), though several unifying themes are developed for each sensor. Functional diagrams are used to portray sensors as a set of logical functions, and static sensitivity is derived from a sensor's transfer equation, focusing attention on sensor physics and on ways in which particular designs might be improved. Sensor performance specifications are explored, helping to compare various instruments and to tell users what to expect as a reasonable level of performance. Finally, the text examines the critical area of environmental exposure of instruments. In a well-designed, properly installed, and well-maintained meteorological measurement system, exposure problems are usually the largest source of error, making this chapter one of the most useful sections of the book.

Analytical transformations in minimizing logical functions

2020 ◽  
Author(s):  
Anvar Kabulov ◽  
Aziz Ashurov ◽  
Mansur Berdimurodov
Keyword(s):  
Logical Functions

scholarly journals Simple stochastic order-book model of swarm behavior in continuous double auction

2015 ◽  
Vol 420 ◽  
pp. 304-314 ◽  
Author(s):  
Shingo Ichiki ◽  
Katsuhiro Nishinari
Keyword(s):  
Stochastic Order ◽  
Double Auction ◽  
Order Book ◽  
Swarm Behavior ◽  
Continuous Double Auction

Discussion on “A new gas-filled trigger tube for logical functions”

1964 ◽  
Vol 28 (3) ◽  
pp. 215
Author(s):  
N. Kitz ◽  
N. Kerr
Keyword(s):  
Logical Functions

scholarly journals A Novel Graphical Technique for Combinational Logic Representation and Optimization

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-12
Author(s):  
Vedhas Pandit ◽  
Björn Schuller
Keyword(s):  
Boolean Functions ◽  
Discrete Systems ◽  
Boolean Logic ◽  
Decision Diagrams ◽  
New Paradigm ◽  
Binary Decision ◽  
Graphical Technique ◽  
A New Technique ◽  
Logic Functions ◽  
Logical Functions

We present a new technique for defining, analysing, and simplifying digital functions, through hand-calculations, easily demonstrable therefore in the classrooms. It can be extended to represent discrete systems beyond the Boolean logic. The method is graphical in nature and provides complete ‘‘implementation-free” description of the logical functions, similar to binary decision diagrams (BDDs) and Karnaugh-maps (K-maps). Transforming a function into the proposed representations (also the inverse) is a very intuitive process, easy enough that a person can hand-calculate these transformations. The algorithmic nature allows for its computing-based implementations. Because the proposed technique effectively transforms a function into a scatter plot, it is possible to represent multiple functions simultaneously. Usability of the method, therefore, is constrained neither by the number of inputs of the function nor by its outputs in theory. This, being a new paradigm, offers a lot of scope for further research. Here, we put forward a few of the strategies invented so far for using the proposed representation for simplifying the logic functions. Finally, we present extensions of the method: one that extends its applicability to multivalued discrete systems beyond Boolean functions and the other that represents the variants in terms of the coordinate system in use.

PHuNAC Model: Emergence of Crowd’s Swarm Behavior

2014 ◽  
pp. 9-18
Author(s):  
Olfa Beltaief ◽  
Sameh El Hadouaj ◽  
Khaled Ghedira
Keyword(s):  
Swarm Behavior

scholarly journals Towards fungal computer

2018 ◽  
Vol 8 (6) ◽  
pp. 20180029 ◽  
Author(s):  
Andrew Adamatzky
Keyword(s):  
Electrical Activity ◽  
Information Transfer ◽  
Chemical Stimulation ◽  
Reliable Indicator ◽  
Mycelium Network ◽  
Logical Functions ◽  
Stimulation Of

We propose that fungi Basidiomycetes can be used as computing devices: information is represented by spikes of electrical activity, a computation is implemented in a mycelium network and an interface is realized via fruit bodies. In a series of scoping experiments, we demonstrate that electrical activity recorded on fruits might act as a reliable indicator of the fungi’s response to thermal and chemical stimulation. A stimulation of a fruit is reflected in changes of electrical activity of other fruits of a cluster, i.e. there is distant information transfer between fungal fruit bodies. In an automaton model of a fungal computer, we show how to implement computation with fungi and demonstrate that a structure of logical functions computed is determined by mycelium geometry.

Spectral characteristics of the best affine approach of multi-output m-valued logical functions

2007 ◽  
Vol 12 (1) ◽  
pp. 185-188
Author(s):  
Yaqun Zhao ◽  
Dinghai Ying ◽  
Dengguo Feng
Keyword(s):  
Spectral Characteristics ◽  
Logical Functions

Comment on "Realization of Arbitrary Logical Functions Using Majority Elements

1964 ◽  
Vol EC-13 (2) ◽  
pp. 148-148 ◽  
Author(s):  
Fusachika Miyata
Keyword(s):  
Logical Functions

Logical Functions

2017 ◽  
pp. 385-399
Author(s):  
Mark Conway Munro
Keyword(s):  
Logical Functions
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