Robot brains: circuits and systems for conscious machines
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Chichester
Wiley
2007
|
| Schlagworte: | |
| Online-Zugang: | Publisher description Contributor biographical information Table of contents only Inhaltsverzeichnis Klappentext |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | X, 213 S. |
| ISBN: | 0470062045 9780470062043 |
Internformat
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| 100 | 1 | |a Haikonen, Pentti O. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Robot brains |b circuits and systems for conscious machines |c Pentti O. Haikonen |
| 264 | 1 | |a Chichester |b Wiley |c 2007 | |
| 300 | |a X, 213 S. | ||
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| 650 | 4 | |a Conscious automata | |
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Datensatz im Suchindex
| _version_ | 1804137282560589824 |
|---|---|
| adam_text | Contents
Preface
їх
1
Introduction
1
1.1
Generalintelligence
and conscious machines
1
1.2
How to model cognition?
3
1.3
The approach of this book
6
2
Information, meaning and representation
9
2.1
Meaning and the nonnumeric brain
9
2.2
Representation of information by signal vectors
11
2.2.1
Single signal and distributed signal representations
11
2.2.2
Representation of graded values
14
2.2.3
Representation of significance
14
2.2.4
Continuous versus pulse train signals
15
3
Associative neural networks
17
3.1
Basic circuits
17
3.1.1
The associative function
17
3.1.2
Basic neuron models
17
3.1.3
The Haikonen associative neuron
19
3.1.4
Threshold functions
20
3.1.5
The linear associator
22
3.2
Nonlinear
associatore
24
3.2.1
The nonlinear associative neuron group
24
3.2.2
Simple binary associator
26
3.2.3
Associator with continuous weight values
28
3.2.4
Bipolar binary associator
29
3.2.5
Hamming distance binary associator
30
3.2.6
Enhanced Hamming distance binary associator
30
3.2.7
Enhanced simple binary associator
31
3.3
Interference in the association of signals and vectors
32
3.4
Recognition and classification by the associative neuron group
35
3.5
Learning
38
3.5.1
Instant Hebbian learning
38
3.5.2
Correlative Hebbian learning
39
3.6
Match, mismatch and novelty
41
3.7
The associative neuron group and noncomputable functions
42
vi
CONTENTS
4
Circuit
assemblies
45
4.1
The associative neuron group
45
4.2
The inhibit neuron group
46
4.3
Voltage-to-single signal (V/SS) conversion
46
4.4
Single signal-to-voltage (SS/V) conversion
48
4.5
The Winner-Takes-All (WTA) circuit
49
4.6
The Accept-and-Hold (AH) circuit
51
4.7
Synaptic partitioning
52
4.8
Serial-to-parallel transformation
54
4.9
Parallel-to-serial transformation
56
4.10
Associative Predictors and Sequencers
57
4.11
Timing circuits
61
4.12
Timed sequence circuits
63
4.13
Change direction detection
66
5
Machine perception
69
5.1
General principles
69
5.2
Perception and recognition
70
5.3
Sensors and preprocesses
71
5.4
Perception circuits; the perception/response feedback
loop
72
5.4.1
The perception of a single feature
72
5.4.2
The dynamic behaviour of the perception/response
feedback loop
74
5.4.3
Selection of signals
76
5.4.4
Perception/response feedback loops for vectors
77
5.4.5
The perception/response feedback loop as predictor
79
5.5
Kinesthetic perception
81
5.6
Haptic
perception
82
5.7
Visual perception
84
5.7.1
Seeing the world out there
84
5.7.2
Visual preprocessing
85
5.7.3
Visual attention and gaze direction
86
5.7.4
Gaze direction and visual memory
87
5.7.5
Object recognition
89
5.7.6
Object size estimation
91
5.7.7
Object distance estimation
92
5.7.8
Visual change detection
94
5.7.9
Motion detection
95
5.8
Auditory perception
98
5.8.1
Perceiving auditory scenes
98
5.8.2
The perception of separate sounds
99
5.8.3
Temporal sound pattern recognition
101
5.8.4
Speech recognition
102
5.8.5
Sound direction perception
103
5.8.6
Sound direction detectors
105
5.8.7
Auditory motion detection
111
5.9
Direction sensing 111
5.10
Creation of mental scenes and maps
113
CONTENTS
vii
Motor actions for robots
117
6.1
Sensorimotor coordination
117
6.2
Basic motor control
117
6.3
Hierarchical associative control
120
6.4
Gaze direction control
122
6.5
Tracking gaze with a robotic arm
126
6.6
Learning motor action sequences
128
6.7
Delayed learning
129
6.8
Moving towards the gaze direction
129
6.9
Task execution
131
6.10
The quest for cognitive robots
134
Machine cognition
137
7.1
Perception, cognition, understanding and models
137
7.2
Attention
139
7.3
Making memories
140
7.3.1
Types of memories
140
7.3.2
Short-term memories
140
7.3.3
Long-term memories
142
7.4
The perception of time
143
7.5
Imagination and planning
145
7.6
Deduction and reasoning
146
Machine emotions
149
8.1
Introduction
149
8.2
Emotional significance
150
8.3
Pain and pleasure as system reactions
150
8.4
Operation of the emotional soundtrack
152
8.5
Emotional decision making
153
8.6
The system reactions theory of emotions
154
8.6.1
Representational and nonrepresentational modes of
operation
154
8.6.2
Emotions as combinations of system reactions
155
8.6.3
The external expressions of emotions
156
8.7
Machine Motivation and willed actions
156
Natural language in robot brains
159
9.1
Machine understanding of language
159
9.2
The representation of words
161
9.3
Speech acquisition
161
9.4
The
multimodal
model of language
163
9.4.1
Overview
163
9.4.2
Vertical grounding of word meaning
165
9.4.3
Horizontal grounding; syntactic sentence
comprehension
168
9.4.4
Combined horizontal and vertical grounding
172
9.4.5
Situation models
173
9.4.6
Pronouns in situation models
175
9.5
Inner speech
176
viii
CONTENTS
10
A cognitive architecture for robot brains
179
10.1
The requirements for cognitive architectures
179
10.2
The Haikonen architecture for robot brains
180
10.3
On hardware requirements
183
11
Machine consciousness
185
11.1
Consciousness in the machine
185
11.1.1
The immateriality of mind
185
11.1.2
The reportability aspect of consciousness
186
11.1.3
Consciousness as internal interaction
188
11.2
Machine perception and qualia
190
11.3
Machine self-consciousness
191
11.3.1
The self as the body
191
11.3.2
The experiencing self
192
11.3.3
Inner speech and consciousness
193
11.3.4
The continuum of the existence of the self
194
11.4
Conscious machines and free will
194
11.5
The ultimate test for machine consciousness
195
11.6
Legal and moral questions
198
Epilogue
201
The dawn of real machine cognition
201
References
203
Index
209
Haikonen
envisions autonomous robots that perceive and understand the world
directly, acting in it in a natural human-like way without the need of programs
and numerical representation of information. By developing higher-level cognitive
functions through the power of artificial associative neuron architectures, the
author approaches the issues of machine consciousness.
Robot Brains expertly outlines a complete system approach to cognitive
machines, offering practical design guidelines for the creation of non-numeric
autonomous creative machines. It details topics such as component parts and
realization principles, so that different pieces may be implemented in hardware
or software. Real-world examples for designers and researchers are provided,
including circuit and systems examples that few books on this topic give.
In novel technical and practical detail, this book also considers:
•
the limitations and remedies of traditional neural
associatore
in creating true machine cognition;
•
basic circuit assemblies for cognitive neural architectures;
•
how motors can be interfaced with the associative neural
system in order for fluent motion to be achieved without
numeric computations;
•
memorization, imagination, planning and reasoning in the
machine;
•
the concept of machine emotions for motivation and value
systems;
•
an approach towards the use and understanding of natural
language in robots.
The methods presented in this book have important implications for computer
vision,
signai
processing, speech recognition and other information technology
fields. Systematic and thoroughly logical, it will appeal to practising engineers
involved in the development and design of robots and cognitive machines, also
researchers in
Artificiai
Intelligence. Postgraduate students in computational
neuroscience
and robotics, and neuromorphic engineers will find it an exciting
source of information.
|
| adam_txt |
Contents
Preface
їх
1
Introduction
1
1.1
Generalintelligence
and conscious machines
1
1.2
How to model cognition?
3
1.3
The approach of this book
6
2
Information, meaning and representation
9
2.1
Meaning and the nonnumeric brain
9
2.2
Representation of information by signal vectors
11
2.2.1
Single signal and distributed signal representations
11
2.2.2
Representation of graded values
14
2.2.3
Representation of significance
14
2.2.4
Continuous versus pulse train signals
15
3
Associative neural networks
17
3.1
Basic circuits
17
3.1.1
The associative function
17
3.1.2
Basic neuron models
17
3.1.3
The Haikonen associative neuron
19
3.1.4
Threshold functions
20
3.1.5
The linear associator
22
3.2
Nonlinear
associatore
24
3.2.1
The nonlinear associative neuron group
24
3.2.2
Simple binary associator
26
3.2.3
Associator with continuous weight values
28
3.2.4
Bipolar binary associator
29
3.2.5
Hamming distance binary associator
30
3.2.6
Enhanced Hamming distance binary associator
30
3.2.7
Enhanced simple binary associator
31
3.3
Interference in the association of signals and vectors
32
3.4
Recognition and classification by the associative neuron group
35
3.5
Learning
38
3.5.1
Instant Hebbian learning
38
3.5.2
Correlative Hebbian learning
39
3.6
Match, mismatch and novelty
41
3.7
The associative neuron group and noncomputable functions
42
vi
CONTENTS
4
Circuit
assemblies
45
4.1
The associative neuron group
45
4.2
The inhibit neuron group
46
4.3
Voltage-to-single signal (V/SS) conversion
46
4.4
Single signal-to-voltage (SS/V) conversion
48
4.5
The 'Winner-Takes-All' (WTA) circuit
49
4.6
The'Accept-and-Hold'(AH) circuit
51
4.7
Synaptic partitioning
52
4.8
Serial-to-parallel transformation
54
4.9
Parallel-to-serial transformation
56
4.10
Associative Predictors and Sequencers
57
4.11
Timing circuits
61
4.12
Timed sequence circuits
63
4.13
Change direction detection
66
5
Machine perception
69
5.1
General principles
69
5.2
Perception and recognition
70
5.3
Sensors and preprocesses
71
5.4
Perception circuits; the perception/response feedback
loop
72
5.4.1
The perception of a single feature
72
5.4.2
The dynamic behaviour of the perception/response
feedback loop
74
5.4.3
Selection of signals
76
5.4.4
Perception/response feedback loops for vectors
77
5.4.5
The perception/response feedback loop as predictor
79
5.5
Kinesthetic perception
81
5.6
Haptic
perception
82
5.7
Visual perception
84
5.7.1
Seeing the world out there
84
5.7.2
Visual preprocessing
85
5.7.3
Visual attention and gaze direction
86
5.7.4
Gaze direction and visual memory
87
5.7.5
Object recognition
89
5.7.6
Object size estimation
91
5.7.7
Object distance estimation
92
5.7.8
Visual change detection
94
5.7.9
Motion detection
95
5.8
Auditory perception
98
5.8.1
Perceiving auditory scenes
98
5.8.2
The perception of separate sounds
99
5.8.3
Temporal sound pattern recognition
101
5.8.4
Speech recognition
102
5.8.5
Sound direction perception
103
5.8.6
Sound direction detectors
105
5.8.7
Auditory motion detection
111
5.9
Direction sensing 111
5.10
Creation of mental scenes and maps
113
CONTENTS
vii
Motor actions for robots
117
6.1
Sensorimotor coordination
117
6.2
Basic motor control
117
6.3
Hierarchical associative control
120
6.4
Gaze direction control
122
6.5
Tracking gaze with a robotic arm
126
6.6
Learning motor action sequences
128
6.7
Delayed learning
129
6.8
Moving towards the gaze direction
129
6.9
Task execution
131
6.10
The quest for cognitive robots
134
Machine cognition
137
7.1
Perception, cognition, understanding and models
137
7.2
Attention
139
7.3
Making memories
140
7.3.1
Types of memories
140
7.3.2
Short-term memories
140
7.3.3
Long-term memories
142
7.4
The perception of time
143
7.5
Imagination and planning
145
7.6
Deduction and reasoning
146
Machine emotions
149
8.1
Introduction
149
8.2
Emotional significance
150
8.3
Pain and pleasure as system reactions
150
8.4
Operation of the emotional soundtrack
152
8.5
Emotional decision making
153
8.6
The system reactions theory of emotions
154
8.6.1
Representational and nonrepresentational modes of
operation
154
8.6.2
Emotions as combinations of system reactions
155
8.6.3
The external expressions of emotions
156
8.7
Machine Motivation and willed actions
156
Natural language in robot brains
159
9.1
Machine understanding of language
159
9.2
The representation of words
161
9.3
Speech acquisition
161
9.4
The
multimodal
model of language
163
9.4.1
Overview
163
9.4.2
Vertical grounding of word meaning
165
9.4.3
Horizontal grounding; syntactic sentence
comprehension
168
9.4.4
Combined horizontal and vertical grounding
172
9.4.5
Situation models
173
9.4.6
Pronouns in situation models
175
9.5
Inner speech
176
viii
CONTENTS
10
A cognitive architecture for robot brains
179
10.1
The requirements for cognitive architectures
179
10.2
The Haikonen architecture for robot brains
180
10.3
On hardware requirements
183
11
Machine consciousness
185
11.1
Consciousness in the machine
185
11.1.1
The immateriality of mind
185
11.1.2
The reportability aspect of consciousness
186
11.1.3
Consciousness as internal interaction
188
11.2
Machine perception and qualia
190
11.3
Machine self-consciousness
191
11.3.1
The self as the body
191
11.3.2
The experiencing self
192
11.3.3
Inner speech and consciousness
193
11.3.4
The continuum of the existence of the self
194
11.4
Conscious machines and free will
194
11.5
The ultimate test for machine consciousness
195
11.6
Legal and moral questions
198
Epilogue
201
The dawn of real machine cognition
201
References
203
Index
209
Haikonen
envisions autonomous robots that perceive and understand the world
directly, acting in it in a natural human-like way without the need of programs
and numerical representation of information. By developing higher-level cognitive
functions through the power of artificial associative neuron architectures, the
author approaches the issues of machine consciousness.
Robot Brains expertly outlines a complete system approach to cognitive
machines, offering practical design guidelines for the creation of non-numeric
autonomous creative machines. It details topics such as component parts and
realization principles, so that different pieces may be implemented in hardware
or software. Real-world examples for designers and researchers are provided,
including circuit and systems examples that few books on this topic give.
In novel technical and practical detail, this book also considers:
•
the limitations and remedies of traditional neural
associatore
in creating true machine cognition;
•
basic circuit assemblies for cognitive neural architectures;
•
how motors can be interfaced with the associative neural
system in order for fluent motion to be achieved without
numeric computations;
•
memorization, imagination, planning and reasoning in the
machine;
•
the concept of machine emotions for motivation and value
systems;
•
an approach towards the use and understanding of natural
language in robots.
The methods presented in this book have important implications for computer
vision,
signai
processing, speech recognition and other information technology
fields. Systematic and thoroughly logical, it will appeal to practising engineers
involved in the development and design of robots and cognitive machines, also
researchers in
Artificiai
Intelligence. Postgraduate students in computational
neuroscience
and robotics, and neuromorphic engineers will find it an exciting
source of information. |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Haikonen, Pentti O. |
| author_facet | Haikonen, Pentti O. |
| author_role | aut |
| author_sort | Haikonen, Pentti O. |
| author_variant | p o h po poh |
| building | Verbundindex |
| bvnumber | BV023049646 |
| callnumber-first | T - Technology |
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| callnumber-subject | TJ - Mechanical Engineering and Machinery |
| classification_rvk | ST 308 ZM 9050 |
| ctrlnum | (OCoLC)155757021 (DE-599)BVBBV023049646 |
| dewey-full | 629.8/9263 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8/9263 |
| dewey-search | 629.8/9263 |
| dewey-sort | 3629.8 49263 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Werkstoffwissenschaften / Fertigungstechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| discipline_str_mv | Informatik Werkstoffwissenschaften / Fertigungstechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
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| id | DE-604.BV023049646 |
| illustrated | Not Illustrated |
| index_date | 2024-07-02T19:24:09Z |
| indexdate | 2024-07-09T21:09:49Z |
| institution | BVB |
| isbn | 0470062045 9780470062043 |
| language | English |
| lccn | 2007029110 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016253046 |
| oclc_num | 155757021 |
| open_access_boolean | |
| owner | DE-703 DE-355 DE-BY-UBR DE-11 |
| owner_facet | DE-703 DE-355 DE-BY-UBR DE-11 |
| physical | X, 213 S. |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| publisher | Wiley |
| record_format | marc |
| spelling | Haikonen, Pentti O. Verfasser aut Robot brains circuits and systems for conscious machines Pentti O. Haikonen Chichester Wiley 2007 X, 213 S. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Robotics Conscious automata Technik (DE-588)4059205-4 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Roboter (DE-588)4050208-9 gnd rswk-swf Roboter (DE-588)4050208-9 s Technik (DE-588)4059205-4 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 http://www.loc.gov/catdir/enhancements/fy0741/2007029110-d.html Publisher description http://www.loc.gov/catdir/enhancements/fy0743/2007029110-b.html Contributor biographical information http://www.loc.gov/catdir/enhancements/fy0743/2007029110-t.html Table of contents only Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016253046&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016253046&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Haikonen, Pentti O. Robot brains circuits and systems for conscious machines Robotics Conscious automata Technik (DE-588)4059205-4 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Roboter (DE-588)4050208-9 gnd |
| subject_GND | (DE-588)4059205-4 (DE-588)4033447-8 (DE-588)4050208-9 |
| title | Robot brains circuits and systems for conscious machines |
| title_auth | Robot brains circuits and systems for conscious machines |
| title_exact_search | Robot brains circuits and systems for conscious machines |
| title_exact_search_txtP | Robot brains circuits and systems for conscious machines |
| title_full | Robot brains circuits and systems for conscious machines Pentti O. Haikonen |
| title_fullStr | Robot brains circuits and systems for conscious machines Pentti O. Haikonen |
| title_full_unstemmed | Robot brains circuits and systems for conscious machines Pentti O. Haikonen |
| title_short | Robot brains |
| title_sort | robot brains circuits and systems for conscious machines |
| title_sub | circuits and systems for conscious machines |
| topic | Robotics Conscious automata Technik (DE-588)4059205-4 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Roboter (DE-588)4050208-9 gnd |
| topic_facet | Robotics Conscious automata Technik Künstliche Intelligenz Roboter |
| url | http://www.loc.gov/catdir/enhancements/fy0741/2007029110-d.html http://www.loc.gov/catdir/enhancements/fy0743/2007029110-b.html http://www.loc.gov/catdir/enhancements/fy0743/2007029110-t.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016253046&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016253046&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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