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- Page 19 and 20: List of Figures1.1 Simulated future
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- Page 27 and 28: CHAPTER 1Introduction1.1 Motivation
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- Page 31 and 32: 1.1. Motivation 5Figure 1.2 depicts
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- Page 35 and 36: 1.3. Objectives 9role of several em
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- Page 39 and 40: CHAPTER 2Biological foundations2.1
- Page 41 and 42: 2.2. The origin of behavior 15Accor
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- Page 45 and 46: 2.3. Motivated behavior 19All the o
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- Page 49 and 50: 2.3. Motivated behavior 23Cognitive
- Page 51 and 52: 2.4. Emotions 25as well as a decisi
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2.4. Emotions 31As seen in Section
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2.4. Emotions 33are specific of hum
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2.4. Emotions 35Cortexcognitive pat
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CHAPTER 3State of the Art3.1 Introd
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3.2. Social Robots 393.2.1 Social r
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3.2. Social Robots 41(a) Kismet (b)
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3.2. Social Robots 43(a) NeCoRo(b)
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3.3. Control Architectures based on
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3.3. Control Architectures based on
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3.3. Control Architectures based on
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3.3. Control Architectures based on
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3.3. Control Architectures based on
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3.3. Control Architectures based on
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3.3. Control Architectures based on
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3.3. Control Architectures based on
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3.3. Control Architectures based on
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3.3. Control Architectures based on
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3.3. Control Architectures based on
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3.4. Summary 67emotion is defined i
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CHAPTER 4The Decision Making System
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4.2. A motivational decision making
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4.3. Learning in the DMS 73defined
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4.3. Learning in the DMS 75violatio
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4.3. Learning in the DMS 77Consider
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4.4. Considered emotions 79DrivesWe
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4.4. Considered emotions 81that the
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4.4. Considered emotions 83effects)
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4.5. Summary 85Mathematically, it i
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CHAPTER 5The social robot Maggie an
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5.3. The Automatic-Deliberative con
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5.3. The Automatic-Deliberative con
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5.4. Featuring Maggie’s DMS 93The
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5.4. Featuring Maggie’s DMS 95tha
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5.4. Featuring Maggie’s DMS 97As
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5.4. Featuring Maggie’s DMS 99Ext
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5.4. Featuring Maggie’s DMS 101MU
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5.4. Featuring Maggie’s DMS 103Pe
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5.4. Featuring Maggie’s DMS 105it
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5.5. Summary 107When the music play
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CHAPTER 6Learning to make decisions
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6.2. Object Q-Learning 111internal
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6.2. Object Q-Learning 1136.2.3 Col
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6.2. Object Q-Learning 115s objia o
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6.2. Object Q-Learning 117Table 6.1
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6.2. Object Q-Learning 119Table 6.5
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6.2. Object Q-Learning 121In this c
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6.3. Enhancing the learning process
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6.4. Summary 125In the interest of
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CHAPTER 7Implementing the decision
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Entity a person, place or thing abo
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7.2. Decision Making System databas
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7.3. Decision Making System class d
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Figure 7.2: General view of the mai
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Figure 7.3: Detailed UML class diag
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7.3. Decision Making System class d
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7.4. How the external state is perc
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7.4. How the external state is perc
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7.4. How the external state is perc
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7.4. How the external state is perc
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7.4. How the external state is perc
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7.5. How the robot interacts with t
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7.5. How the robot interacts with t
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7.5. How the robot interacts with t
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7.5. How the robot interacts with t
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7.5. How the robot interacts with t
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7.5. How the robot interacts with t
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7.6. Summary 163MaggieUserMaggieUse
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CHAPTER 8Testing the experimental s
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8.3. Analysis of the course of the
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8.4. Testing the learning algorithm
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8.4. Testing the learning algorithm
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8.4. Testing the learning algorithm
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8.5. Summary 175(a) Learning with t
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CHAPTER 9Experimental Results9.1 In
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9.2. Fear results 179interactions i
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9.2. Fear results 181Figure 9.2: Le
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9.2. Fear results 183Figure 9.3: Le
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9.2. Fear results 185In order to es
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9.3. Learning behaviors 187and they
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9.3. Learning behaviors 189play mus
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9.3. Learning behaviors 191Figure 9
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9.3. Learning behaviors 193Figure 9
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9.4. Summary 195Figure 9.8: Learned
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CHAPTER 10Conclusions and Future De
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10.1. Comments to the results 199th
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10.2. Contributions and achievement
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10.4. Future works and limitations
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10.5. Final comments 205hedonic fac
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Bibliography[1] J. D. Velásquez,
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Bibliography 209[20] R. C. Arkin,
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Bibliography 211[48] W. D. Smart an
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Bibliography 213[77] H. Damasio, T.
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Bibliography 215[103] K. Wada and T
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Bibliography 217[128] S. C. Gadanho
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Bibliography 219[153] A. Kelley, Wh
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Bibliography 221[178] J. A. Starzyk
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Bibliography 223[202] C. Guestrin,