### Table 2: Natural and artificial domains

### Table 1. Mapping between iNet artificial immune system and natural immune system

### Table 1 - Motivation theories for artificial systems and their parallels in nature.

"... In PAGE 13: ... 5. Discussion Table1 summarises the parallels between motivation theories for natural and artificial systems. It shows that a majority of motivation theories for artificial systems are based on drive theory, arousal theory and operant theory from natural systems.... ..."

### Table 4: Natural log calculations

1997

"... In PAGE 8: ...List of Tables Table 1: Format for edge conditions 26 Table 2: Test results of the Java random number generator 28 Table 3: Variable definitions for carwash model 30 Table4 : Natural log calculations 31 Table 5: Sample of simulation run using different clock multipliers... In PAGE 38: ... Given a single random number, the exponential random variate calculated by this formula should be the same regardless of differences in software or hardware. The first column, ARND, of Table4 consists of a stream of uniform random numbers calculated by SIGMA with the seed 12352. In the second column of Table 4, ln(ARND) is the natural log of ARND as computed by Netsim, or by a standard calculator.... In PAGE 38: ... The first column, ARND, of Table 4 consists of a stream of uniform random numbers calculated by SIGMA with the seed 12352. In the second column of Table4 , ln(ARND) is the natural log of ARND as computed by Netsim, or by a standard calculator. The third column depicts TLN, the natural log of ARND as computed by SIGMA.... In PAGE 39: ...Table 4: Natural log calculations 7.4 Comparison Results and Discussion To accurately compare treatment of the carwash model between Netsim and SIGMA, the natural log values produced by SIGMA (TLN values shown in Table4 , column 3) were input directly into Netsim, bypassing the usual random number generator and natural log calculator. These values were then used by both Netsim and SIGMA in calculating the required exponential random variates.... ..."

### Table 4: Cost Calculation Parameters for Canary Islands / Spain.

"... In PAGE 16: ... Missing information was properly estimated. The attached Table4 shows the scheme of cost assessment and the value of cost parameters and plant performance parameters. 5.... ..."

### Table 5: mapping concepts in nature to evolutionary computing

2006

"... In PAGE 56: ...hich gives individuals, which are better adapted to their environment, i.e. have a high tness, a better chance to survive and produce new o spring. These concepts in nature are mapped to computers as shown in Table5 . The given problem, which we want to solve, is seen as an environment in which a population of individuals evolves.... ..."

### Table 2: Learning statistics (noisy artificial data)

1997

"... In PAGE 4: ... mean of 0 and a standard deviation of 0.1. The other experimental conditions were exactly the same as be fore. Table2 shows the results. The best MSE values were minimized when h = 3, while the best MDL values 1Our experiments were done on HP/9000/735 computer.... ..."

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### Table 3. Summary information from fitting General Additive Models (GAM), Artificial Neural Networks (ANN), Non-linear Regression to the Norwegian spring-spawning herring data. Data are tabulated separately for training and forecasting data segments on both the age-3 recruitment, was examined on the natural log and arithmetic scale.

2005

"... In PAGE 9: ... In this ANN configuration, the input neurons are connected di- rectly to the output neurons, and it can be seen that this sim- plified ANN is equivalent to a basic linear regression model. In general, the data in Table3 suggest that methods that fit the training segment on the log scale, then forecast on the log scale and back-transformed the forecasts to the arithme- tic scale, did not perform well. Small deviations between the observed and the predicted values on the log scale were amplified when back-transformed.... ..."

### Table 2. The relationship between biological immune features and artificial immune algorithms

2007

"... In PAGE 39: ... The major part of this article has provided detailed overviews of systems proposed and implemented, containing one or more immune-inspired algorithms or concepts. Table2 summarises the artificial immune algorithms and concepts that the reviewed AISs have employed. It also shows the correspond- ing biological immune features that are expected to be obtained from the implementation of the artificial immune algorithms and concepts.... In PAGE 40: ... No system reviewed here fully implemented an intrusion detection system based on clonal selection, idiotypic net- works or gene libraries. Finally, we assess the AISs presented in Table 3 against the immune properties introduced in Table2 . Table 4 illustrates immune features that are provided by complete systems.... ..."

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### Table 1. Nature - to - computer mapping

in Kasapovic Scheduling Multiprocessor Tasks with Genetic Algorithms, - Applied InformaticsProceedings

2002

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