Perception-Action Cycle: Models, Architectures, and Hardware

800 Pages·2011·23.13 MB·English

by  John K. Tsotsos

Perception-Action Cycle
Springer Series in Cognitive and Neural Systems
Volume1
SeriesEditors
JohnG.Taylor
King’sCollege,London,UK
VassilisCutsuridis
BostonUniversity,Boston,MA,USA
Forfurthervolumes
http://www.springer.com/series/8572
Vassilis Cutsuridis (cid:2) Amir Hussain
John G. Taylor
Editors
Perception-Action Cycle
Models, Architectures, and Hardware
ABC
Editors
VassilisCutsuridis JohnG.Taylor
DepartmentofPsychology DepartmentofMathematics
CenterforMemoryandBrain King’sCollege
BostonUniversity London
Boston,MA02215 UK
USA [e-mail]
[e-mail]
AmirHussain
DepartmentofComputingScienceand
Mathematics
UniversityofStirling
StirlingFK94LA
UK
[e-mail]
ISBN978-1-4419-1451-4 e-ISBN978-1-4419-1452-1
DOI10.1007/978-1-4419-1452-1
SpringerNewYorkDordrechtHeidelbergLondon
LibraryofCongressControlNumber:2011920805
(cid:3)c SpringerScience+BusinessMedia,LLC2011
Allrightsreserved.Thisworkmaynotbetranslatedorcopiedinwholeorinpartwithoutthewritten
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Preface
The perception–actioncycle has been describedby the eminentneuroscientistJM
Fusterasthecircularflowofinformationthattakesplacebetweentheorganismand
itsenvironmentinthecourseofasensory-guidedsequenceofbehaviourtowardsa
goal.Eachactioninthesequencecausescertainchangesintheenvironmentthatare
analysedbottom-upthroughtheperceptualhierarchyandleadstotheprocessingof
furtheraction, top-downthroughthe executivehierarchy,towardsmotoreffectors.
Thesecausenewchangesthatareanalysedandleadtonewaction,andsoon.
This book provides a snapshot and a resume´ of the current state-of-the-art of
the ongoingresearchavenuesconcerningthe perception–actioncycle. The central
aimofthevolumeistobeaninformationalresourceandamethodologyforanyone
interestedinconstructinganddevelopingmodels,algorithmsandhardwareimple-
mentationsofautonomousmachinesempoweredwithcognitivecapabilities.
The book is divided into three thematic areas: (1) computationalneuroscience
models, (2) cognitive architectures and (3) hardware implementations. In the first
thematicarea,leadingcomputationalneuroscientistspresentbrain-inspiredmodels
ofperception,attention,cognitivecontrol,decisionmaking,conflictresolutionand
monitoring, knowledge representation and reasoning, learning and memory, plan-
ning and action, and consciousnessgroundedon experimentaldata. In the second
thematicarea,architectures,algorithmsandsystemswithcognitivecapabilitiesand
minimalguidancefromthebrainarediscussed.Thesearchitectures,algorithmsand
systemsareinspiredfromtheareasofcognitivescience,computervision,robotics,
information theory, machine learning, computer agents and artificial intelligence.
In the third thematic area, the analysis, design and implementation of hardware
systemswithrobustcognitiveabilitiesfromtheareasofmechatronics,sensingtech-
nology,sensorfusion,smartsensornetworks,controlrules,controllability,stability,
model/knowledgerepresentationandreasoningarediscussed.
Thisengagingvolumewillbeinvaluabletocomputationalneuroscientists,cog-
nitive scientists, robotists, electrical engineers, physicists, mathematicians and
others interested in developing cognitive models, algorithms and systems of the
perception–actioncycle. Graduate level students and trainees in all of these fields
willfindthisbookasignificantsourceofinformation.
v
vi Preface
Finally, there are many people whom we would like to thank for making this
book possible. This includes all the contributing authors who did a great job. We
wouldliketothankAnnH.Avouris,ourSpringersenioreditor,andmembersofthe
productionteam,fortheirconsistenthelpandsupport.Wededicatethisworktoour
families.
Boston,USA VassilisCutsuridis
Stirling,UK AmirHussain
London,UK JohnG.Taylor
Contents
PartI ComputationalNeuroscienceModels
1 The Role of Attentionin Shaping Visual Perceptual
Processes....................................................................... 5
JohnK.TsotsosandAlbertL.Rothenstein
2 SensoryFusion................................................................ 23
MauroUrsino,ElisaMagosso,andCristianoCuppini
3 Modelling Memory andLearning Consistently from
PsychologytoPhysiology .................................................... 63
L.AndrewCoward
4 ValueMaps,Drives,andEmotions .........................................135
DanielS.Levine
5 ComputationalNeuroscienceModels:ErrorMonitoring,
ConflictResolution,andDecisionMaking.................................169
JoshuaW.BrownandWilliamH.Alexander
6 NeuralNetworkModelsforReachingandDexterous
ManipulationinHumansandAnthropomorphicRobotic
Systems ........................................................................187
Rodolphe J. Gentili, Hyuk Oh, Javier Molina,
andJose´L.Contreras-Vidal
7 SchemataLearning...........................................................219
RyunosukeNishimotoandJunTani
8 The Perception-Conceptualisation-Knowledge
Representation-ReasoningRepresentation-ActionCycle:
TheViewfromtheBrain ....................................................243
JohnG.Taylor
vii
viii Contents
9 Consciousness,Decision-MakingandNeuralComputation.............287
EdmundT.Rolls
10 AReviewofModelsofConsciousness......................................335
JohnG.Taylor
PartII CognitiveArchitectures
11 Vision,AttentionControl,andGoalsCreationSystem ..................363
Konstantinos Rapantzikos, Yannis Avrithis,
andStefanosKolias
12 Semantics Extraction From Multimedia Data: An
Ontology-BasedMachineLearningApproach............................387
SergiosPetridisandStavrosJ.Perantonis
13 CognitiveAlgorithmsandSystemsofEpisodicMemory,
SemanticMemory,andTheirLearnings...................................417
QiZhang
14 MotivationalProcessesWithinthePerception–Action
Cycle ...........................................................................449
RonSunandNickWilson
15 CognitiveAlgorithmsandSystemsofErrorMonitoring,
ConflictResolutionandDecisionMaking .................................473
PedroU.Lima
16 DevelopmentalLearningofCooperativeRobotSkills:
AHierarchicalMulti-AgentArchitecture .................................497
John N. Karigiannis, Theodoros Rekatsinas,
andCostasS.Tzafestas
17 ActionsandImaginedActionsinCognitiveRobots ......................539
VishwanathanMohan,PietroMorasso,GiorgioMetta,
andStathisKasderidis
18 Cognitive Algorithms and Systems: Reasoning and
KnowledgeRepresentation..................................................573
ArturS.d’AvilaGarcezandLuisC.Lamb
19 InformationTheoryofDecisionsandActions.............................601
NaftaliTishbyandDanielPolani
Contents ix
20 ArtificialConsciousness......................................................637
AntonioChellaandRiccardoManzotti
PartIII HardwareImplementations
21 SmartSensorNetworks......................................................675
AlvinS.Lim
22 MultisensorFusionforLow-PowerWirelessMicrosystems.............711
TongBoonTangandAlanF.Murray
23 Bio-InspiredMechatronicsandControlInterfaces.......................749
PanagiotisK.ArtemiadisandKostasJ.Kyriakopoulos
Index.................................................................................777