This errata sheet lists errors and their correction for the doctoral thesis of Mahboobeh Parsapoor, titled “Towards Emotion-inspired Computational Intelligence (EiCI)”, Halmstad University, 2015, ISBN (printed) : 978-91-87045-39-4 . Pdf link: http://hh.diva-portal.org/smash/record.jsf?pid=diva2%3A889812&dswid=-782

Location Error Correction

Page 1, par. 1, line 7 “This” “The natural system ” Page 2, par. 2, line 3 “cells” “neurons” Page 2, par. 2, line 6 “Pattern generation” “Pattern recognition” Page 2, par. 3, line 6 “huge numbers” “huge number” Page 2, par. 3, line 9 “artificial neurons” “artificial neurons (ANs)”

Page 2, par. 3, line 10 “[21])” “[21]” Page 2, par. 4, line 5 “(here, …,food” “(here, …,food)” Page 3, par. 3, line 6 “animal” “mammal” Page 4, par. 3, line 7 “survival circuit” “survival circuits” Page 4, par. 1, line 7 “the following” “as follows”

Page 5, par. 3, line 12 “EiCI models” “EiCIs” Page 5, par. 4, line 1 “(BELiMs” “(BELiMs) ”

Page 11, par. 1, line 11 “NNs” “ANNs ” Page 11, par. 2, line 2 “as an inspiration source” “as inspiration sources ”

Page 11, par. 2, line 15 “the BELiM” “BELiMs” Page 12, par. 1, line 4 “(ELiEC)". [70] “(ELiEC) [70]". Page 12, par. 2, line 1 “are” “is” Page 13, par. 2, line 1 “improvmen" “improvments" Page 15, par. 2, line 8 “ an AI domain” “AI applications” Page 16, par. 2, line 3 “” “denrites” Page 18 ,Par. 3, line 6 “binary” “ Unipolar”

Page 21, par. 1, line 10 “epoch” “iteration”

Page 21, par. 4, line 3 “the radial basis function” “an ANN” Page 21, par. 4, line 3 “a universal

Approximation method ” “universal

approximation methods” Page 30, par. 4, line 2 “by two philosophers and

psychologists” “by two scientist, a philosopher and

psychologist” Page 32, par. 1, line 9 “sub-section” “subsection”

Page 51, par. 1, line 20 “systems” “system” Page 52, par. 1, line 1 “systems” “system” Page 51, par. 1, line 1 “prefrontal cortex” “orbitofrontal cortex ”

Page 51, par. 1, line 12 “the amygdala” “BELiMs” Page 55, par. 1, line 1 “ an O node ” “ to orbitofrontal cortex” Page 55, par. 1, line 2 “at the bottom part ” “ in the top right” Page 55, par. 1, line 3 “ max(s) ,” “ max(s),” Page 55, par. 2, line 2 “ It consists of three nodes,

labelled O.” “It consists of three nodes, labelled O and another node at the bottom part of

orbitofrontal cortex” Page 55, par. 3, line 2 “ The latter…; the former …

cortex.” “ The former …; the latter…

cortex.” Page 57, par. 2, line 9 “ AMYG” “AMYGgdala”

Page 57, par. 2, line 10 “ORBI” “ORBItofrontal cortex” Page 58, par. 2, line 3 “the amygdala-orbitofrontal

cortex” “the amygdala-orbitofrontal cortex

system” Page 59, par. 2, line 7 “BELFIS” “ANFIS”

Page 60, par. 2, line 6 “MAX_MIN” “MAX_MIN(MAXimum_MINimum)” Page 60, par. 2, line 6 “AGG” “AGG(AGGregation)” Page 62, par. 3, line 3 “FAD(l,Nn)” “FAD(I,l,Nn)” Page 62, par. 3, line 4 “two

types of adaptive network and two types of node”

“two types of node”

Page 67, Figure 3.11 “ouput” “output” Page 71, Figure 3.15 “ouput” “output” Page 72, Figure 3.16 “ouput” “output” Page 74, par. 2, line 5 “In the following, the part of a

BELiM that consists of learning parameters is

highlight and how the learning parameters of each part of the

BELiM can be adjusted independently is

explained”

”In the following, I have explained the part of a BELiM that consists of learning

parameters is highlight and how the learning

parameters of each part of the BELiM can be

adjusted independently”

Page 74, par. 2 , line 7 “highlight” “highlighted” Page 74, par. 3 , line 7 “The parameter,t” “The parameter, t” Page 81, par. 1, line 22 “BELIM’s” “BELIMs’” Page 87, par. 1, line 13 “values” “x values” Page 89, par. 1, line 4 “30th” “45th” Page 89, par. 1, line 5 “(see Figure 4.5” “(see Figure 4.5)” Page 89, par. 1, line 7 “these methods” “this method” Page 89, par. 2, line 3 “the behavior real systems” “the behavior of real systems” Page 89, par. 2, line 4 “to mitigate solar activity’s

damages” “to mitigate solar activity’s damages to

power grid” Page 86, par. 1, line 2 “geomagnetic storms and

substorms” “geomagnetic substorms”

Page 91, par. 1, line 13 “Lorenz time series” “sunspot numbers” Page 93, par. 1, line 6 “for both short and long term

prediction” “for long term prediction”

Page 93, par. 1, line 9 “NMRMS” “NMRMSs” Page 94, par. 1, line 5 “sub-geomagnetic storms and

storms” “geomagnetic substorms and storms”

Page 94, par. 2, line 8 “characteristic” “characteristics” Page 97, par. 2, line 4 “multi-minutes ahead.” “multi-minutes ahead prediction”

Page 104, par. 1, line 1 “results of ANFIS and BELFIS” “results of ANFIS, BELRFS and BELFIS”

Page 104, par. 1, line 1 “ANFIS” “BELFIS” Page127, par. 1, line 3 “provides” “explain” Page127, par. 1, line 4 “module” “model” Page127, par. 1, line 7 “idea” “theory”

Page127, par. 1, line 17 “an extremely accurate response” “a more accurate response than he primary response”

Page128, par. 2, line 6 “andmodify” “and modify” Page129, par. 3, line 5 “two epochs” “three epochs”

Page 131, par. 2, line 2 “learning;” “learn” Page 131, par. 2, line 6 “its new state” “new states” Page 131, par. 2, line 8 “thesleeping epoch” “the sleeping epoch” Page 134, par. 1, line 2 “emotional cycle” “an emotional cycle”

Page 134, Fig. 5.5, “Decision Making” “Decision” Page 136, par. 1, line 3 “prediction phases” “prediction phase” Page 136, par. 2, line 2 “learning phase” “Decision phase” Page 136, par. 2, line 5 “state” “phase” Page 136, par. 4, line 4 “the sensory cortex and” “the sensory cortex, the transitional

cortex and” Page 136, par. 4, line 7 “The reaction phase acts as the

central part of the amygdala” “The reaction phase acts as the central

part of the amygdala and hypothalamus”

Page 138, par. 1, line 9 “plan, decide phases” “plan, decide and act phases” Page 138, par. 1, line 10 “memorization prediction,” “memorization, prediction”

Page 139, par. 1, line 6 “link configure optimization” “link configure optimization and actuators phases”

Page 139, par. 2, line 3 “emotion-inspired engine” “emotion-inspired engine (Emotional Engine)”

Page 140, par. 1, line 1 “emotion-inspired engine” “emotion-inspired engine (Emotional Engine)”

Page 141, par. 1, line 1 “Radio Frequency channel” “radio frequency channel” Page 145, par. 2, line 6 “monoamine neurotransmitters” “the classical monoamine

neurotransmitters” Page 146, par. 2, line 5 “” “the classical monoamine

neurotransmitters” Page 147, Table 6.1, Raw 1 “hame” “shame” Page 148, Table 6.2, Raw 1 “hame” “shame”

Page 148, par. 1, line 1 “if three neurotransmitters release at their high levels”

“if the three neurotransmitters are released at their high levels”

Page 148, par. 1, line 2 “if three neurotransmitters release at their low levels”

“if the three neurotransmitters are released at their low levels”

Page 151, par. 1, line 2 “The number of emotional states equals the number of ants”

“The number of emotional states is equal or greater than the number of ants”

Page 151, Eq (6.1) 𝒩!"#$%#&'()$'$!) = log!𝑚 !

𝒩!"#$%#&'()$'$!) = 2 !"#!! !

Page 151, Eq (6.2) Page 151, par. 4, line11 “gateways” “gateways.”

Page 152, Fig. 6.2.

ClusterheadGatewayOrdinarynode

Page 153, Eq (6.4) 𝑥!" <

!∈!(!))

1 𝑥!" <!∈!(!)

1

Page 153, Eq (6.7) 𝐴 𝑗 𝐴 𝑗 > 1 ∀ 𝑖, 𝑗 ∈ 𝒱 𝐴 𝑖 𝐴 𝑗 > 1 ∀ 𝑖, 𝑗 ∈ 𝒱

Page 153, Eq (6.8) 𝐴 𝑖 𝐴 𝑗!!"!!

𝐴 𝑖 𝐴 𝑗!!"!!

Page 154, Eq (6.10) 𝜂!" 𝑡

=𝐴 𝑖

𝒱 + 𝐴 𝑖 𝐴 𝑗!!"!!

𝜂!" 𝑡 =

𝐴 𝑖

𝒱 + 𝐴 𝑖 𝐴 𝑗!!"!!

Page 155, Eq (6.14) ost Ant!

= 𝒞!

𝒱×

𝐴 𝑖 𝐴 𝑗!,!∈𝒞!

𝐴 𝑖 𝐴 𝑗!,!∈𝒱

×(𝑁!"#$%#&'()$'$* − 𝐸𝑚𝑜𝑡𝑖𝑜𝑛𝑎𝑙𝑆𝑡𝑎𝑡𝑒!"#!

𝑁!"#$%#&'()$'$*

ost Ant!

= 𝒞!

𝒱×

𝐴(𝑖) 𝐴 𝑗!,!∈𝒞!

𝐴(𝑖) 𝐴 𝑗!,!∈𝒞!!,!∈𝒱

×(𝑁!"#$%#&'()$'$* − 𝐸𝑚𝑜𝑡𝑖𝑜𝑛𝑎𝑙𝑆𝑡𝑎𝑡𝑒!"#!

𝑁!"#$%#&'()$'!"

Page 155, par. 4, line 1 “a scenario” “different scenarios” Page 157, par 1, line 6 “blue” “all”