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This is a generalization of a power series representation with a finite memory of length Q + 1.
The binary representation of each codeword n is transmitted by an antipodal binary pulse-amplitude modulator through a PR channel having a memory of length ν bits.
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Each agent is endowed with two memories of length m to keep the demands of the two classes of tags.
Each agent is endowed with two memories of length 10 for intratype and intertype bargaining games, initialized at random.
Here, memory sequences are described as sequences of random activity patterns ξ that are binary vectors of dimension N, ξ ∈ { 0, 1 } N. A memory sequence of length Q is an ordered occurrence of activity patterns ξ 1 → ξ 2 → ⋯ → ξ Q.
We show that contraction bias depends on the prior distribution of bar lengths, and increasing the uncertainty in the memory of bar lengths enhances the contraction bias, both of which are consistent with the Bayesian hypothesis.
By manipulating uncertainty in the memory of bar lengths after memory encoding and measuring the magnitude of the contraction bias we demonstrate that prior information is introduced during memory retrieval/decision making rather than when the first stimulus is encoded in memory.
In the proposed model the effects of memory length of different karst flow systems of base-flow, intermediate-flow, and quick-flow and also time variation of recharge area (RA) during a hydrological year were investigated.
The choice of memory length, L, of the kernel, sets the resolution of the density function.
The encoded bits are interleaved as prior to going through a modulation memory-less mapper, of length, which follows a Gray-labeled constellation.
The structure of NARX was designed in such a way that the linear part had infinite memory, whereas the nonlinear part had finite memory of a certain length.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com