By Hisashi Handa, Hisao Ishibuchi, Yew-Soon Ong, Kay Chen Tan
This publication encompasses a choice of the papers authorised within the 18th Asia Pacific Symposium on clever and Evolutionary structures (IES 2014), which was once held in Singapore from 10-12th November 2014. The papers contained during this publication display awesome clever platforms with reliable analytical and/or empirical results.
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Additional resources for Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1
Geness 17 through 20 coded for momeentum, which ranged from 0 to 15. Each cycle, if a randdom integer between 1 and 16 was w less than momentum, inputs from the eyes and antennnae were ignored, and the forag ger continued moving in the same direction. Eye Decision Rule. Probab bilistic: If genes 21 and 22 were both 0, the eye directtion was chosen by selecting one unit of activity at random, so that direction was weighhted in favour of the directions in i which more food items were detected. For examplee, if the forager has two eyes, and a 4 food items are within view of one eye and one fo food item is within view of the second, then the decision rule would have an 80% chaance of indicating motion along the line of sight of the first eye and a 20% chance of m motion along the light of sightt of the second eye.
The selection screen 4 Experimental Prrocedure The participants in this stud dy were 46 undergraduate University at Buffalo studentts in Singapore who participated d in exchange for credit toward a psychology course. P Participants were seated a com mfortable distance from a computer. They watched an aanimation showing the foragin ng screen and foraging process and subsequently explained each of the forager attributees. Next, participants watched five practice trials in whicch a random forager searches for f 25 time steps.
The number of agents who can be reached in k steps does not grow exponentially in k. Lopez-Pintado  showed that there exists a threshold for the degree of risk dominance of an action such that below the threshold, contagion of the action occurs. He also showed that networks with intermediate variance (where the connectivity of the lowest connectivity nodes are not so low) are best for diffusion purposes. Meanwhile, Watts  showed that when the network of interpersonal influences is sufficiently sparse, the propagation of cascades is limited by the global connectivity Collective Behavior in Cascade Model Depend on Turn of Choice 29 of the network; and when it is sufficiently dense, cascade propagation is limited by the stability of the individual nodes.