Consciousness and robot sentience:
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Singapore
World Scientific
2012
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| Schriftenreihe: | Series on machine consciousness
v. 2 |
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| Online-Zugang: | Volltext |
| Beschreibung: | Robots are becoming more human, but could they also become sentient and have human-like consciousness? What is consciousness, exactly? It is a fact that our thoughts and consciousness are based on the neural activity of the brain. It is also a fact that we do not perceive our brain activity as it really is - patterns of neural firings. Instead, we perceive our sensations and thoughts apparently as they are. What kind of condition would transform the neural activity into this kind of internal appearance? This is the basic problem of consciousness. The author proposes an explanation that also provides preconditions for true conscious cognition - the requirement of a direct perceptive system with inherent sub-symbolic and symbolic information processing. Associative neural information processing with distributed signal representations is introduced as a method that satisfies these requirements. Conscious robot cognition also calls for information integration and sensorimotor integration. This requirement is satisfied by the Haikonen Cognitive Architecture (HCA). This book demystifies both the enigmatic philosophical issues of consciousness and the practical engineering issues of conscious robots by presenting them in an easy-to-understand manner for the benefit of students, researchers, philosophers and engineers in the field Ch. 1. Introduction. 1.1. Towards conscious robots. 1.2. The structure of this book -- ch. 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 -- ch. 3. Consciousness and subjective experience. 3.1. Theories of consciousness. 3.2. The subjective experience. 3.3. The internal appearance of neural activity -- ch. 4. Perception and qualia. 4.1. Perception and recognition. 4.2. Qualia -- ch. 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? -- - ch. 6. Emotions and consciousness. 6.1. 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 -- ch. 7. Inner speech and consciousness. 7.1. Natural language. 7.2. Consciousness and inner speech. 7.3. Conscious perception of inner speech -- ch. 8. Qualia and machine consciousness. 8.1. Human consciousness vs. machine consciousness. 8.2. Preconditions for machine qualia -- ch. 9. Testing consciousness. 9.1. Requirements for consciousness tests. 9.2. Tests for consciousness. 9.3. Tests for self-consciousness. 9.4. Requirements and tests for machine consciousness in literature -- ch. 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? -- - ch. 11. Associative information processing. 11.1. What is associative information processing? 11.2. Basic associative processes. 11.3. The representation of information. 11.4. Distributed signal representations -- ch. 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. 12.5. Associative neuron groups -- ch. 13. Designing a cognitive perception system. 13.1. Requirements for cognitive perception. 13.2. The perception/response feedback loop -- ch. 14. Examples of perception/response feedback loops. 14.1. The auditory perception/response feedback loop. 14.2. The visual perception/response feedback loop. 14.3. The touch perception/response feedback loop Ch. 15. The transition to symbolic processing. 15.1. From distributed signals to symbols. 15.2. Requirements for a natural language. 15.3. Association of meaning -- ch. 16. Information integration with multiple modules. 16.1. Cooperation and interaction of multiple modules. 16.2. Sensorimotor integration. 16.3. Feedback control loops. 16.4. Hierarchical control loops -- ch. 17. Emotional significance of percepts. 17.1. The significance of percepts. 17.2. Emotional evaluation of percepts -- ch. 18. The outline of the Haikonen Cognitive Architecture (HCA). 18.1. General overview. 18.2. The block diagram of HCA. 18.3. Control, motivation and drivers. 18.4. Information integration, coalitions and consciousness -- ch. 19. Mind reading applications. 19.1. Mind reading possible? 19.2. The principle of the imaging of inner imagery. 19.3. The perception/response feedback loop in the imaging of inner imagery. 19.4. Inner speech and unvoiced speech. 19.5. Silent speech detection with the perception/response loop -- ch. 20. The comparison of some cognitive architectures. 20.1. Introduction. 20.2. Baars global workspace architecture. 20.3. Shanahan global workspace architecture. 20.4. Haikonen cognitive architecture. 20.5. Baars, Shanahan and Haikonen architectures compared -- ch. 21. Example: an experimental robot with the HCA. 21.1. Purpose and design principles. 21.2. Architecture. 21.3. The auditory module. 21.4. The visual module. 21.5. The emotional module. 21.6. The Gripper module. 21.7. The wheel drive module. 21.8. Self-talk. 21.9. Cross-associative information integration. 21.10. Consciousness in the XCR-1 -- ch. 22. Concluding notes. 22.1. Consciousness explained. 22.2. The conclusion |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9789814407168 981440716X 9789814407151 9814407151 1283739402 9781283739405 |
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| 500 | |a Robots are becoming more human, but could they also become sentient and have human-like consciousness? What is consciousness, exactly? It is a fact that our thoughts and consciousness are based on the neural activity of the brain. It is also a fact that we do not perceive our brain activity as it really is - patterns of neural firings. Instead, we perceive our sensations and thoughts apparently as they are. What kind of condition would transform the neural activity into this kind of internal appearance? This is the basic problem of consciousness. The author proposes an explanation that also provides preconditions for true conscious cognition - the requirement of a direct perceptive system with inherent sub-symbolic and symbolic information processing. Associative neural information processing with distributed signal representations is introduced as a method that satisfies these requirements. Conscious robot cognition also calls for information integration and sensorimotor integration. This requirement is satisfied by the Haikonen Cognitive Architecture (HCA). This book demystifies both the enigmatic philosophical issues of consciousness and the practical engineering issues of conscious robots by presenting them in an easy-to-understand manner for the benefit of students, researchers, philosophers and engineers in the field | ||
| 500 | |a Ch. 1. Introduction. 1.1. Towards conscious robots. 1.2. The structure of this book -- ch. 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 -- ch. 3. Consciousness and subjective experience. 3.1. Theories of consciousness. 3.2. The subjective experience. 3.3. The internal appearance of neural activity -- ch. 4. Perception and qualia. 4.1. Perception and recognition. 4.2. Qualia -- ch. 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? -- | ||
| 500 | |a - ch. 6. Emotions and consciousness. 6.1. 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 -- ch. 7. Inner speech and consciousness. 7.1. Natural language. 7.2. Consciousness and inner speech. 7.3. Conscious perception of inner speech -- ch. 8. Qualia and machine consciousness. 8.1. Human consciousness vs. machine consciousness. 8.2. Preconditions for machine qualia -- ch. 9. Testing consciousness. 9.1. Requirements for consciousness tests. 9.2. Tests for consciousness. 9.3. Tests for self-consciousness. 9.4. Requirements and tests for machine consciousness in literature -- ch. 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? -- | ||
| 500 | |a - ch. 11. Associative information processing. 11.1. What is associative information processing? 11.2. Basic associative processes. 11.3. The representation of information. 11.4. Distributed signal representations -- ch. 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. 12.5. Associative neuron groups -- ch. 13. Designing a cognitive perception system. 13.1. Requirements for cognitive perception. 13.2. The perception/response feedback loop -- ch. 14. Examples of perception/response feedback loops. 14.1. The auditory perception/response feedback loop. 14.2. The visual perception/response feedback loop. 14.3. The touch perception/response feedback loop | ||
| 500 | |a Ch. 15. The transition to symbolic processing. 15.1. From distributed signals to symbols. 15.2. Requirements for a natural language. 15.3. Association of meaning -- ch. 16. Information integration with multiple modules. 16.1. Cooperation and interaction of multiple modules. 16.2. Sensorimotor integration. 16.3. Feedback control loops. 16.4. Hierarchical control loops -- ch. 17. Emotional significance of percepts. 17.1. The significance of percepts. 17.2. Emotional evaluation of percepts -- ch. 18. The outline of the Haikonen Cognitive Architecture (HCA). 18.1. General overview. 18.2. The block diagram of HCA. 18.3. Control, motivation and drivers. 18.4. Information integration, coalitions and consciousness -- ch. 19. Mind reading applications. 19.1. Mind reading possible? 19.2. The principle of the imaging of inner imagery. 19.3. The perception/response feedback loop in the imaging of inner imagery. 19.4. Inner speech and unvoiced speech. 19.5. Silent speech detection with the perception/response loop -- ch. 20. The comparison of some cognitive architectures. 20.1. Introduction. 20.2. Baars global workspace architecture. 20.3. Shanahan global workspace architecture. 20.4. Haikonen cognitive architecture. 20.5. Baars, Shanahan and Haikonen architectures compared -- ch. 21. Example: an experimental robot with the HCA. 21.1. Purpose and design principles. 21.2. Architecture. 21.3. The auditory module. 21.4. The visual module. 21.5. The emotional module. 21.6. The Gripper module. 21.7. The wheel drive module. 21.8. Self-talk. 21.9. Cross-associative information integration. 21.10. Consciousness in the XCR-1 -- ch. 22. Concluding notes. 22.1. Consciousness explained. 22.2. The conclusion | ||
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Datensatz im Suchindex
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| author | Haikonen, Pentti O. |
| author_facet | Haikonen, Pentti O. |
| author_role | aut |
| author_sort | Haikonen, Pentti O. |
| author_variant | p o h po poh |
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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Haikonen</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">World Scientific</subfield><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Series on machine consciousness</subfield><subfield code="v">v. 2</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Robots are becoming more human, but could they also become sentient and have human-like consciousness? What is consciousness, exactly? It is a fact that our thoughts and consciousness are based on the neural activity of the brain. It is also a fact that we do not perceive our brain activity as it really is - patterns of neural firings. Instead, we perceive our sensations and thoughts apparently as they are. What kind of condition would transform the neural activity into this kind of internal appearance? This is the basic problem of consciousness. The author proposes an explanation that also provides preconditions for true conscious cognition - the requirement of a direct perceptive system with inherent sub-symbolic and symbolic information processing. Associative neural information processing with distributed signal representations is introduced as a method that satisfies these requirements. Conscious robot cognition also calls for information integration and sensorimotor integration. This requirement is satisfied by the Haikonen Cognitive Architecture (HCA). This book demystifies both the enigmatic philosophical issues of consciousness and the practical engineering issues of conscious robots by presenting them in an easy-to-understand manner for the benefit of students, researchers, philosophers and engineers in the field</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Ch. 1. Introduction. 1.1. Towards conscious robots. 1.2. The structure of this book -- ch. 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 -- ch. 3. Consciousness and subjective experience. 3.1. Theories of consciousness. 3.2. The subjective experience. 3.3. The internal appearance of neural activity -- ch. 4. Perception and qualia. 4.1. Perception and recognition. 4.2. Qualia -- ch. 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? -- </subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - ch. 6. Emotions and consciousness. 6.1. 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 -- ch. 7. Inner speech and consciousness. 7.1. Natural language. 7.2. Consciousness and inner speech. 7.3. Conscious perception of inner speech -- ch. 8. Qualia and machine consciousness. 8.1. Human consciousness vs. machine consciousness. 8.2. Preconditions for machine qualia -- ch. 9. Testing consciousness. 9.1. Requirements for consciousness tests. 9.2. Tests for consciousness. 9.3. Tests for self-consciousness. 9.4. Requirements and tests for machine consciousness in literature -- ch. 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? -- </subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - ch. 11. Associative information processing. 11.1. What is associative information processing? 11.2. Basic associative processes. 11.3. The representation of information. 11.4. Distributed signal representations -- ch. 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. 12.5. Associative neuron groups -- ch. 13. Designing a cognitive perception system. 13.1. Requirements for cognitive perception. 13.2. The perception/response feedback loop -- ch. 14. Examples of perception/response feedback loops. 14.1. The auditory perception/response feedback loop. 14.2. The visual perception/response feedback loop. 14.3. The touch perception/response feedback loop</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Ch. 15. The transition to symbolic processing. 15.1. From distributed signals to symbols. 15.2. Requirements for a natural language. 15.3. Association of meaning -- ch. 16. Information integration with multiple modules. 16.1. Cooperation and interaction of multiple modules. 16.2. Sensorimotor integration. 16.3. Feedback control loops. 16.4. Hierarchical control loops -- ch. 17. Emotional significance of percepts. 17.1. The significance of percepts. 17.2. Emotional evaluation of percepts -- ch. 18. The outline of the Haikonen Cognitive Architecture (HCA). 18.1. General overview. 18.2. The block diagram of HCA. 18.3. Control, motivation and drivers. 18.4. Information integration, coalitions and consciousness -- ch. 19. Mind reading applications. 19.1. Mind reading possible? 19.2. The principle of the imaging of inner imagery. 19.3. The perception/response feedback loop in the imaging of inner imagery. 19.4. Inner speech and unvoiced speech. 19.5. Silent speech detection with the perception/response loop -- ch. 20. The comparison of some cognitive architectures. 20.1. Introduction. 20.2. Baars global workspace architecture. 20.3. Shanahan global workspace architecture. 20.4. Haikonen cognitive architecture. 20.5. Baars, Shanahan and Haikonen architectures compared -- ch. 21. Example: an experimental robot with the HCA. 21.1. Purpose and design principles. 21.2. Architecture. 21.3. The auditory module. 21.4. The visual module. 21.5. The emotional module. 21.6. The Gripper module. 21.7. The wheel drive module. 21.8. Self-talk. 21.9. Cross-associative information integration. 21.10. Consciousness in the XCR-1 -- ch. 22. Concluding notes. 22.1. Consciousness explained. 22.2. 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| id | DE-604.BV042966896 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:13:59Z |
| institution | BVB |
| isbn | 9789814407168 981440716X 9789814407151 9814407151 1283739402 9781283739405 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028392762 |
| oclc_num | 814083958 |
| open_access_boolean | |
| owner | DE-1046 DE-1047 |
| owner_facet | DE-1046 DE-1047 |
| physical | 1 Online-Ressource |
| psigel | ZDB-4-EBA ZDB-4-EBU FAW_PDA_EBA FLA_PDA_EBU |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | World Scientific |
| record_format | marc |
| series2 | Series on machine consciousness |
| spelling | Haikonen, Pentti O. Verfasser aut Consciousness and robot sentience Pentti O. Haikonen Singapore World Scientific 2012 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Series on machine consciousness v. 2 Robots are becoming more human, but could they also become sentient and have human-like consciousness? What is consciousness, exactly? It is a fact that our thoughts and consciousness are based on the neural activity of the brain. It is also a fact that we do not perceive our brain activity as it really is - patterns of neural firings. Instead, we perceive our sensations and thoughts apparently as they are. What kind of condition would transform the neural activity into this kind of internal appearance? This is the basic problem of consciousness. The author proposes an explanation that also provides preconditions for true conscious cognition - the requirement of a direct perceptive system with inherent sub-symbolic and symbolic information processing. Associative neural information processing with distributed signal representations is introduced as a method that satisfies these requirements. Conscious robot cognition also calls for information integration and sensorimotor integration. This requirement is satisfied by the Haikonen Cognitive Architecture (HCA). This book demystifies both the enigmatic philosophical issues of consciousness and the practical engineering issues of conscious robots by presenting them in an easy-to-understand manner for the benefit of students, researchers, philosophers and engineers in the field Ch. 1. Introduction. 1.1. Towards conscious robots. 1.2. The structure of this book -- ch. 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 -- ch. 3. Consciousness and subjective experience. 3.1. Theories of consciousness. 3.2. The subjective experience. 3.3. The internal appearance of neural activity -- ch. 4. Perception and qualia. 4.1. Perception and recognition. 4.2. Qualia -- ch. 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? -- - ch. 6. Emotions and consciousness. 6.1. 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 -- ch. 7. Inner speech and consciousness. 7.1. Natural language. 7.2. Consciousness and inner speech. 7.3. Conscious perception of inner speech -- ch. 8. Qualia and machine consciousness. 8.1. Human consciousness vs. machine consciousness. 8.2. Preconditions for machine qualia -- ch. 9. Testing consciousness. 9.1. Requirements for consciousness tests. 9.2. Tests for consciousness. 9.3. Tests for self-consciousness. 9.4. Requirements and tests for machine consciousness in literature -- ch. 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? -- - ch. 11. Associative information processing. 11.1. What is associative information processing? 11.2. Basic associative processes. 11.3. The representation of information. 11.4. Distributed signal representations -- ch. 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. 12.5. Associative neuron groups -- ch. 13. Designing a cognitive perception system. 13.1. Requirements for cognitive perception. 13.2. The perception/response feedback loop -- ch. 14. Examples of perception/response feedback loops. 14.1. The auditory perception/response feedback loop. 14.2. The visual perception/response feedback loop. 14.3. The touch perception/response feedback loop Ch. 15. The transition to symbolic processing. 15.1. From distributed signals to symbols. 15.2. Requirements for a natural language. 15.3. Association of meaning -- ch. 16. Information integration with multiple modules. 16.1. Cooperation and interaction of multiple modules. 16.2. Sensorimotor integration. 16.3. Feedback control loops. 16.4. Hierarchical control loops -- ch. 17. Emotional significance of percepts. 17.1. The significance of percepts. 17.2. Emotional evaluation of percepts -- ch. 18. The outline of the Haikonen Cognitive Architecture (HCA). 18.1. General overview. 18.2. The block diagram of HCA. 18.3. Control, motivation and drivers. 18.4. Information integration, coalitions and consciousness -- ch. 19. Mind reading applications. 19.1. Mind reading possible? 19.2. The principle of the imaging of inner imagery. 19.3. The perception/response feedback loop in the imaging of inner imagery. 19.4. Inner speech and unvoiced speech. 19.5. Silent speech detection with the perception/response loop -- ch. 20. The comparison of some cognitive architectures. 20.1. Introduction. 20.2. Baars global workspace architecture. 20.3. Shanahan global workspace architecture. 20.4. Haikonen cognitive architecture. 20.5. Baars, Shanahan and Haikonen architectures compared -- ch. 21. Example: an experimental robot with the HCA. 21.1. Purpose and design principles. 21.2. Architecture. 21.3. The auditory module. 21.4. The visual module. 21.5. The emotional module. 21.6. The Gripper module. 21.7. The wheel drive module. 21.8. Self-talk. 21.9. Cross-associative information integration. 21.10. Consciousness in the XCR-1 -- ch. 22. Concluding notes. 22.1. Consciousness explained. 22.2. The conclusion COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Conscious automata fast Conscious automata Bewusstsein (DE-588)4006349-5 gnd rswk-swf Neuroinformatik (DE-588)4655105-0 gnd rswk-swf Informationsverarbeitung (DE-588)4161678-9 gnd rswk-swf Empfindung (DE-588)4014603-0 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Bewusstsein (DE-588)4006349-5 s Empfindung (DE-588)4014603-0 s Informationsverarbeitung (DE-588)4161678-9 s Neuroinformatik (DE-588)4655105-0 s Künstliche Intelligenz (DE-588)4033447-8 s 1\p DE-604 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=503412 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Haikonen, Pentti O. Consciousness and robot sentience COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Conscious automata fast Conscious automata Bewusstsein (DE-588)4006349-5 gnd Neuroinformatik (DE-588)4655105-0 gnd Informationsverarbeitung (DE-588)4161678-9 gnd Empfindung (DE-588)4014603-0 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4006349-5 (DE-588)4655105-0 (DE-588)4161678-9 (DE-588)4014603-0 (DE-588)4033447-8 |
| title | Consciousness and robot sentience |
| title_auth | Consciousness and robot sentience |
| title_exact_search | Consciousness and robot sentience |
| title_full | Consciousness and robot sentience Pentti O. Haikonen |
| title_fullStr | Consciousness and robot sentience Pentti O. Haikonen |
| title_full_unstemmed | Consciousness and robot sentience Pentti O. Haikonen |
| title_short | Consciousness and robot sentience |
| title_sort | consciousness and robot sentience |
| topic | COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Conscious automata fast Conscious automata Bewusstsein (DE-588)4006349-5 gnd Neuroinformatik (DE-588)4655105-0 gnd Informationsverarbeitung (DE-588)4161678-9 gnd Empfindung (DE-588)4014603-0 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Conscious automata Bewusstsein Neuroinformatik Informationsverarbeitung Empfindung Künstliche Intelligenz |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=503412 |
| work_keys_str_mv | AT haikonenpenttio consciousnessandrobotsentience |