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Consciousness and robot sentience [[electronic resource]] / Pentti O. Haikonen
| Consciousness and robot sentience [[electronic resource]] / Pentti O. Haikonen |
| Autore | Haikonen Pentti O |
| Pubbl/distr/stampa | Singapore, : World Scientific, 2012 |
| Descrizione fisica | 1 online resource (255 p.) |
| Disciplina | 006.3 |
| Collana | Series on machine consciousness |
| Soggetto topico |
Conscious automata
Robotics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-73940-2
981-4407-16-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Dedication; Contents; Chapter 1; Introduction; 1.1. Towards Conscious Robots; 1.2. The Structure of This Book; Chapter 2; The Problem of Consciousness; 2.1. Mind and Consciousness; 2.2. The Apparent Immateriality of the Mind; 2.3. Cartesian Dualism; 2.4. Property Dualism; 2.5. The Identity Theory; 2.6. The Real Problem of Consciousness; Summary; Chapter 3; Consciousness and Subjective Experience; 3.1. Theories of Consciousness; 3.2. The Subjective Experience; 3.3. The Internal Appearance of Neural Activity; Summary; Chapter 4; Perception and Qualia; 4.1. Perception and Recognition
4.1.1. What is a Percept?4.1.2. Is Perception the Same as Recognition?; 4.2. Qualia; 4.2.1. What Are Qualia?; 4.2.2. The Privacy of Qualia; 4.2.3. No Qualia, No Percepts; 4.2.4. Different Qualities of Qualia; 4.2.5. Amodal Qualia; 4.2.6. Externalization, the Apparent Location of Percepts; Summary; Chapter 5; From Perception to Consciousness; 5.1. No Percepts - No Consciousness; 5.2. Attention and Consciousness; 5.3. The Difference Between Conscious and Non-Conscious Perception; 5.4. Information Integration and Consciousness; 5.5. What is Consciousness?; Summary; Chapter 6 Emotions and Consciousness6.1. Emotions and Feelings; 6.2. The Qualia of Emotions; 6.3. The System Reactions Theory of Emotions (SRTE); 6.4. Emotions and Motivation; 6.5. Free Will; 6.6. Decision Making; Summary; Chapter 7; Inner Speech and Consciousness; 7.1. Natural Language; 7.2. Consciousness and Inner Speech; 7.3. Conscious Perception of Inner Speech; Summary; Chapter 8; Qualia and Machine Consciousness; 8.1. Human Consciousness vs. Machine Consciousness; 8.2. Preconditions for Machine Qualia; Summary; Chapter 9; Testing Consciousness; 9.1. Requirements for Consciousness Tests 9.2. Tests for Consciousness9.2.1. The Turing Test; 9.2.2. Picture Understanding Test; 9.2.3. The Cross-Examination Test; 9.3. Tests for Self-Consciousness; 9.3.1. Self-Consciousness; 9.3.2. The Mirror Test; 9.3.3. The Name Test; 9.3.4. The Ownership Test; 9.3.5. The Cross-Examination Test; 9.4. Requirements and Tests for Machine Consciousness in Literature; 9.4.1. Aleksander's Axioms; 9.4.2. The ConsScale; Summary; Chapter 10; Artificial Conscious Cognition; 10.1. Which Model for Artificial Cognition?; 10.2. Sub-symbolic vs. Symbolic Information Processing 10.3. What Is a Cognitive Architecture?Summary; Chapter 11; Associative Information Processing; 11.1. What Is Associative Information Processing?; 11.2. Basic Associative Processes; 11.2.1. Pavlovian Conditioning; 11.2.2. Hebbian Learning; 11.2.3. Autoassociation and Heteroassociation; 11.3. The Representation of Information; 11.4. Distributed Signal Representations; Summary; Chapter 12; Neural Realization of Associative Processing; 12.1. Spiking Neurons or Block Signal Neurons?; 12.2. Associative Neurons and Synapses; 12.3. Correlative Learning 12.4. The Associative Neuron as a Logic Element |
| Record Nr. | UNINA-9910464803703321 |
Haikonen Pentti O
|
||
| Singapore, : World Scientific, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Consciousness and robot sentience [[electronic resource]] / Pentti O. Haikonen
| Consciousness and robot sentience [[electronic resource]] / Pentti O. Haikonen |
| Autore | Haikonen Pentti O |
| Pubbl/distr/stampa | Singapore, : World Scientific, 2012 |
| Descrizione fisica | 1 online resource (255 p.) |
| Disciplina | 006.3 |
| Collana | Series on machine consciousness |
| Soggetto topico |
Conscious automata
Robotics |
| ISBN |
1-283-73940-2
981-4407-16-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Dedication; Contents; Chapter 1; Introduction; 1.1. Towards Conscious Robots; 1.2. The Structure of This Book; Chapter 2; The Problem of Consciousness; 2.1. Mind and Consciousness; 2.2. The Apparent Immateriality of the Mind; 2.3. Cartesian Dualism; 2.4. Property Dualism; 2.5. The Identity Theory; 2.6. The Real Problem of Consciousness; Summary; Chapter 3; Consciousness and Subjective Experience; 3.1. Theories of Consciousness; 3.2. The Subjective Experience; 3.3. The Internal Appearance of Neural Activity; Summary; Chapter 4; Perception and Qualia; 4.1. Perception and Recognition
4.1.1. What is a Percept?4.1.2. Is Perception the Same as Recognition?; 4.2. Qualia; 4.2.1. What Are Qualia?; 4.2.2. The Privacy of Qualia; 4.2.3. No Qualia, No Percepts; 4.2.4. Different Qualities of Qualia; 4.2.5. Amodal Qualia; 4.2.6. Externalization, the Apparent Location of Percepts; Summary; Chapter 5; From Perception to Consciousness; 5.1. No Percepts - No Consciousness; 5.2. Attention and Consciousness; 5.3. The Difference Between Conscious and Non-Conscious Perception; 5.4. Information Integration and Consciousness; 5.5. What is Consciousness?; Summary; Chapter 6 Emotions and Consciousness6.1. Emotions and Feelings; 6.2. The Qualia of Emotions; 6.3. The System Reactions Theory of Emotions (SRTE); 6.4. Emotions and Motivation; 6.5. Free Will; 6.6. Decision Making; Summary; Chapter 7; Inner Speech and Consciousness; 7.1. Natural Language; 7.2. Consciousness and Inner Speech; 7.3. Conscious Perception of Inner Speech; Summary; Chapter 8; Qualia and Machine Consciousness; 8.1. Human Consciousness vs. Machine Consciousness; 8.2. Preconditions for Machine Qualia; Summary; Chapter 9; Testing Consciousness; 9.1. Requirements for Consciousness Tests 9.2. Tests for Consciousness9.2.1. The Turing Test; 9.2.2. Picture Understanding Test; 9.2.3. The Cross-Examination Test; 9.3. Tests for Self-Consciousness; 9.3.1. Self-Consciousness; 9.3.2. The Mirror Test; 9.3.3. The Name Test; 9.3.4. The Ownership Test; 9.3.5. The Cross-Examination Test; 9.4. Requirements and Tests for Machine Consciousness in Literature; 9.4.1. Aleksander's Axioms; 9.4.2. The ConsScale; Summary; Chapter 10; Artificial Conscious Cognition; 10.1. Which Model for Artificial Cognition?; 10.2. Sub-symbolic vs. Symbolic Information Processing 10.3. What Is a Cognitive Architecture?Summary; Chapter 11; Associative Information Processing; 11.1. What Is Associative Information Processing?; 11.2. Basic Associative Processes; 11.2.1. Pavlovian Conditioning; 11.2.2. Hebbian Learning; 11.2.3. Autoassociation and Heteroassociation; 11.3. The Representation of Information; 11.4. Distributed Signal Representations; Summary; Chapter 12; Neural Realization of Associative Processing; 12.1. Spiking Neurons or Block Signal Neurons?; 12.2. Associative Neurons and Synapses; 12.3. Correlative Learning 12.4. The Associative Neuron as a Logic Element |
| Record Nr. | UNINA-9910789346603321 |
|
Haikonen Pentti O
|
||
| Singapore, : World Scientific, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Consciousness and robot sentience / / Pentti O. Haikonen
| Consciousness and robot sentience / / Pentti O. Haikonen |
| Autore | Haikonen Pentti O |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore, : World Scientific, 2012 |
| Descrizione fisica | 1 online resource (255 p.) |
| Disciplina | 006.3 |
| Collana | Series on machine consciousness |
| Soggetto topico |
Conscious automata
Robotics |
| ISBN |
1-283-73940-2
981-4407-16-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Dedication; Contents; Chapter 1; Introduction; 1.1. Towards Conscious Robots; 1.2. The Structure of This Book; Chapter 2; The Problem of Consciousness; 2.1. Mind and Consciousness; 2.2. The Apparent Immateriality of the Mind; 2.3. Cartesian Dualism; 2.4. Property Dualism; 2.5. The Identity Theory; 2.6. The Real Problem of Consciousness; Summary; Chapter 3; Consciousness and Subjective Experience; 3.1. Theories of Consciousness; 3.2. The Subjective Experience; 3.3. The Internal Appearance of Neural Activity; Summary; Chapter 4; Perception and Qualia; 4.1. Perception and Recognition
4.1.1. What is a Percept?4.1.2. Is Perception the Same as Recognition?; 4.2. Qualia; 4.2.1. What Are Qualia?; 4.2.2. The Privacy of Qualia; 4.2.3. No Qualia, No Percepts; 4.2.4. Different Qualities of Qualia; 4.2.5. Amodal Qualia; 4.2.6. Externalization, the Apparent Location of Percepts; Summary; Chapter 5; From Perception to Consciousness; 5.1. No Percepts - No Consciousness; 5.2. Attention and Consciousness; 5.3. The Difference Between Conscious and Non-Conscious Perception; 5.4. Information Integration and Consciousness; 5.5. What is Consciousness?; Summary; Chapter 6 Emotions and Consciousness6.1. Emotions and Feelings; 6.2. The Qualia of Emotions; 6.3. The System Reactions Theory of Emotions (SRTE); 6.4. Emotions and Motivation; 6.5. Free Will; 6.6. Decision Making; Summary; Chapter 7; Inner Speech and Consciousness; 7.1. Natural Language; 7.2. Consciousness and Inner Speech; 7.3. Conscious Perception of Inner Speech; Summary; Chapter 8; Qualia and Machine Consciousness; 8.1. Human Consciousness vs. Machine Consciousness; 8.2. Preconditions for Machine Qualia; Summary; Chapter 9; Testing Consciousness; 9.1. Requirements for Consciousness Tests 9.2. Tests for Consciousness9.2.1. The Turing Test; 9.2.2. Picture Understanding Test; 9.2.3. The Cross-Examination Test; 9.3. Tests for Self-Consciousness; 9.3.1. Self-Consciousness; 9.3.2. The Mirror Test; 9.3.3. The Name Test; 9.3.4. The Ownership Test; 9.3.5. The Cross-Examination Test; 9.4. Requirements and Tests for Machine Consciousness in Literature; 9.4.1. Aleksander's Axioms; 9.4.2. The ConsScale; Summary; Chapter 10; Artificial Conscious Cognition; 10.1. Which Model for Artificial Cognition?; 10.2. Sub-symbolic vs. Symbolic Information Processing 10.3. What Is a Cognitive Architecture?Summary; Chapter 11; Associative Information Processing; 11.1. What Is Associative Information Processing?; 11.2. Basic Associative Processes; 11.2.1. Pavlovian Conditioning; 11.2.2. Hebbian Learning; 11.2.3. Autoassociation and Heteroassociation; 11.3. The Representation of Information; 11.4. Distributed Signal Representations; Summary; Chapter 12; Neural Realization of Associative Processing; 12.1. Spiking Neurons or Block Signal Neurons?; 12.2. Associative Neurons and Synapses; 12.3. Correlative Learning 12.4. The Associative Neuron as a Logic Element |
| Record Nr. | UNINA-9910827656103321 |
|
Haikonen Pentti O
|
||
| Singapore, : World Scientific, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robot brains [[electronic resource] ] : circuits and systems for conscious machines / / Pentti O. Haikonen
| Robot brains [[electronic resource] ] : circuits and systems for conscious machines / / Pentti O. Haikonen |
| Autore | Haikonen Pentti O |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Chichester, England, : John Wiley, 2007 |
| Descrizione fisica | 1 online resource (225 p.) |
| Disciplina | 629.8/9263 |
| Soggetto topico |
Robotics
Conscious automata |
| ISBN |
1-280-97414-1
9786610974146 0-470-51787-5 0-470-51786-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Robot Brains; Contents; Preface; 1 Introduction; 1.1 General intelligence and conscious machines; 1.2 How to model cognition?; 1.3 The approach of this book; 2 Information, meaning and representation; 2.1 Meaning and the nonnumeric brain; 2.2 Representation of information by signal vectors; 2.2.1 Single signal and distributed signal representations; 2.2.2 Representation of graded values; 2.2.3 Representation of significance; 2.2.4 Continuous versus pulse train signals; 3 Associative neural networks; 3.1 Basic circuits; 3.1.1 The associative function; 3.1.2 Basic neuron models
3.1.3 The Haikonen associative neuron3.1.4 Threshold functions; 3.1.5 The linear associator; 3.2 Nonlinear associators; 3.2.1 The nonlinear associative neuron group; 3.2.2 Simple binary associator; 3.2.3 Associator with continuous weight values; 3.2.4 Bipolar binary associator; 3.2.5 Hamming distance binary associator; 3.2.6 Enhanced Hamming distance binary associator; 3.2.7 Enhanced simple binary associator; 3.3 Interference in the association of signals and vectors; 3.4 Recognition and classification by the associative neuron group; 3.5 Learning; 3.5.1 Instant Hebbian learning 3.5.2 Correlative Hebbian learning3.6 Match, mismatch and novelty; 3.7 The associative neuron group and noncomputable functions; 4 Circuit assemblies; 4.1 The associative neuron group; 4.2 The inhibit neuron group; 4.3 Voltage-to-single signal (V/SS) conversion; 4.4 Single signal-to-voltage (SS/V) conversion; 4.5 The 'Winner-Takes-All' (WTA) circuit; 4.6 The 'Accept-and-Hold' (AH) circuit; 4.7 Synaptic partitioning; 4.8 Serial-to-parallel transformation; 4.9 Parallel-to-serial transformation; 4.10 Associative Predictors and Sequencers; 4.11 Timing circuits; 4.12 Timed sequence circuits 4.13 Change direction detection5 Machine perception; 5.1 General principles; 5.2 Perception and recognition; 5.3 Sensors and preprocesses; 5.4 Perception circuits; the perception/response feedback loop; 5.4.1 The perception of a single feature; 5.4.2 The dynamic behaviour of the perception/response feedback loop; 5.4.3 Selection of signals; 5.4.4 Perception/response feedback loops for vectors; 5.4.5 The perception/response feedback loop as predictor; 5.5 Kinesthetic perception; 5.6 Haptic perception; 5.7 Visual perception; 5.7.1 Seeing the world out there; 5.7.2 Visual preprocessing 5.7.3 Visual attention and gaze direction5.7.4 Gaze direction and visual memory; 5.7.5 Object recognition; 5.7.6 Object size estimation; 5.7.7 Object distance estimation; 5.7.8 Visual change detection; 5.7.9 Motion detection; 5.8 Auditory perception; 5.8.1 Perceiving auditory scenes; 5.8.2 The perception of separate sounds; 5.8.3 Temporal sound pattern recognition; 5.8.4 Speech recognition; 5.8.5 Sound direction perception; 5.8.6 Sound direction detectors; 5.8.7 Auditory motion detection; 5.9 Direction sensing; 5.10 Creation of mental scenes and maps; 6 Motor actions for robots 6.1 Sensorimotor coordination |
| Record Nr. | UNINA-9910143716603321 |
|
Haikonen Pentti O
|
||
| Chichester, England, : John Wiley, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robot brains : circuits and systems for conscious machines / / Pentti O. Haikonen
| Robot brains : circuits and systems for conscious machines / / Pentti O. Haikonen |
| Autore | Haikonen Pentti O |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Chichester, England, : John Wiley, 2007 |
| Descrizione fisica | 1 online resource (225 p.) |
| Disciplina | 629.8/9263 |
| Soggetto topico |
Robotics
Conscious automata |
| ISBN |
1-280-97414-1
9786610974146 0-470-51787-5 0-470-51786-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Robot Brains; Contents; Preface; 1 Introduction; 1.1 General intelligence and conscious machines; 1.2 How to model cognition?; 1.3 The approach of this book; 2 Information, meaning and representation; 2.1 Meaning and the nonnumeric brain; 2.2 Representation of information by signal vectors; 2.2.1 Single signal and distributed signal representations; 2.2.2 Representation of graded values; 2.2.3 Representation of significance; 2.2.4 Continuous versus pulse train signals; 3 Associative neural networks; 3.1 Basic circuits; 3.1.1 The associative function; 3.1.2 Basic neuron models
3.1.3 The Haikonen associative neuron3.1.4 Threshold functions; 3.1.5 The linear associator; 3.2 Nonlinear associators; 3.2.1 The nonlinear associative neuron group; 3.2.2 Simple binary associator; 3.2.3 Associator with continuous weight values; 3.2.4 Bipolar binary associator; 3.2.5 Hamming distance binary associator; 3.2.6 Enhanced Hamming distance binary associator; 3.2.7 Enhanced simple binary associator; 3.3 Interference in the association of signals and vectors; 3.4 Recognition and classification by the associative neuron group; 3.5 Learning; 3.5.1 Instant Hebbian learning 3.5.2 Correlative Hebbian learning3.6 Match, mismatch and novelty; 3.7 The associative neuron group and noncomputable functions; 4 Circuit assemblies; 4.1 The associative neuron group; 4.2 The inhibit neuron group; 4.3 Voltage-to-single signal (V/SS) conversion; 4.4 Single signal-to-voltage (SS/V) conversion; 4.5 The 'Winner-Takes-All' (WTA) circuit; 4.6 The 'Accept-and-Hold' (AH) circuit; 4.7 Synaptic partitioning; 4.8 Serial-to-parallel transformation; 4.9 Parallel-to-serial transformation; 4.10 Associative Predictors and Sequencers; 4.11 Timing circuits; 4.12 Timed sequence circuits 4.13 Change direction detection5 Machine perception; 5.1 General principles; 5.2 Perception and recognition; 5.3 Sensors and preprocesses; 5.4 Perception circuits; the perception/response feedback loop; 5.4.1 The perception of a single feature; 5.4.2 The dynamic behaviour of the perception/response feedback loop; 5.4.3 Selection of signals; 5.4.4 Perception/response feedback loops for vectors; 5.4.5 The perception/response feedback loop as predictor; 5.5 Kinesthetic perception; 5.6 Haptic perception; 5.7 Visual perception; 5.7.1 Seeing the world out there; 5.7.2 Visual preprocessing 5.7.3 Visual attention and gaze direction5.7.4 Gaze direction and visual memory; 5.7.5 Object recognition; 5.7.6 Object size estimation; 5.7.7 Object distance estimation; 5.7.8 Visual change detection; 5.7.9 Motion detection; 5.8 Auditory perception; 5.8.1 Perceiving auditory scenes; 5.8.2 The perception of separate sounds; 5.8.3 Temporal sound pattern recognition; 5.8.4 Speech recognition; 5.8.5 Sound direction perception; 5.8.6 Sound direction detectors; 5.8.7 Auditory motion detection; 5.9 Direction sensing; 5.10 Creation of mental scenes and maps; 6 Motor actions for robots 6.1 Sensorimotor coordination |
| Record Nr. | UNINA-9910823942703321 |
|
Haikonen Pentti O
|
||
| Chichester, England, : John Wiley, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||