| 000 | 05296nam a22006495i 4500 | ||
|---|---|---|---|
| 001 | 978-3-540-77296-5 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125654.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2007 gw | s |||| 0|eng d | ||
| 020 |
_a9783540772965 _9978-3-540-77296-5 |
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| 024 | 7 |
_a10.1007/978-3-540-77296-5 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aUYQ _2bicssc |
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| 072 | 7 |
_aCOM004000 _2bisacsh |
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| 072 | 7 |
_aUYQ _2thema |
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| 082 | 0 | 4 |
_a006.3 _223 |
| 245 | 1 | 0 |
_a50 Years of Artificial Intelligence _h[electronic resource] : _bEssays Dedicated to the 50th Anniversary of Artificial Intelligence / _cedited by Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer. |
| 250 | _a1st ed. 2007. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2007. |
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| 300 |
_aX, 399 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4850 |
|
| 505 | 0 | _aHistorical and Philosphical Issues -- AI in the 21st Century – With Historical Reflections -- The Physical Symbol System Hypothesis: Status and Prospects -- Fifty Years of AI: From Symbols to Embodiment - and Back -- 2006: Celebrating 75 Years of AI - History and Outlook: The Next 25 Years -- Evolutionary Humanoid Robotics: Past, Present and Future -- Philosophical Foundations of AI -- On the Role of AI in the Ongoing Paradigm Shift within the Cognitive Sciences -- Information Theory and Quantification -- On the Information Theoretic Implications of Embodiment – Principles and Methods -- Development Via Information Self-structuring of Sensorimotor Experience and Interaction -- How Information and Embodiment Shape Intelligent Information Processing -- Preliminary Considerations for a Quantitative Theory of Networked Embodied Intelligence -- A Quantitative Investigation into Distribution of Memory and Learning in Multi Agent Systems with Implicit Communications -- Morphology and Dynamics -- AI in Locomotion: Challenges and Perspectives of Underactuated Robots -- On the Task Distribution Between Control and Mechanical Systems -- Bacteria Integrated Swimming Microrobots -- Adaptive Multi-modal Sensors -- Neurorobotics -- What Can AI Get from Neuroscience? -- Dynamical Systems in the Sensorimotor Loop: On the Interrelation Between Internal and External Mechanisms of Evolved Robot Behavior -- Adaptive Behavior Control with Self-regulating Neurons -- Brain Area V6A: A Cognitive Model for an Embodied Artificial Intelligence -- The Man-Machine Interaction: The Influence of Artificial Intelligence on Rehabilitation Robotics -- Machine Intelligence, Cognition, and Natural Language Processing -- Tests of Machine Intelligence -- A Hierarchical Concept Oriented Representation for Spatial Cognition inMobile Robots -- Anticipation and Future-Oriented Capabilities in Natural and Artificial Cognition -- Computer-Supported Human-Human Multilingual Communication -- Human-Like Intelligence: Motivation, Emotions, and Consciousness -- A Paradigm Shift in Artificial Intelligence: Why Social Intelligence Matters in the Design and Development of Robots with Human-Like Intelligence -- Intrinsically Motivated Machines -- Curious and Creative Machines -- Applying Data Fusion in a Rational Decision Making with Emotional Regulation -- How to Build Consciousness into a Robot: The Sensorimotor Approach -- Robot Platforms -- A Human-Like Robot Torso ZAR5 with Fluidic Muscles: Toward a Common Platform for Embodied AI -- The iCub Cognitive Humanoid Robot: An Open-System Research Platform for Enactive Cognition -- Intelligent Mobile Manipulators in Industrial Applications:Experiences and Challenges -- Art and AI -- The Dynamic Darwinian Diorama: A Landlocked Archipelago Enhances Epistemology. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aSoftware engineering. | |
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aComputer simulation. | |
| 650 | 0 | _aPattern recognition systems. | |
| 650 | 1 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aSoftware Engineering. |
| 650 | 2 | 4 | _aTheory of Computation. |
| 650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
| 650 | 2 | 4 | _aComputer Modelling. |
| 650 | 2 | 4 | _aAutomated Pattern Recognition. |
| 700 | 1 |
_aLungarella, Max. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aIida, Fumiya. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aBongard, Josh. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aPfeifer, Rolf. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540772958 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540846659 |
| 830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4850 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-540-77296-5 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 912 | _aZDB-2-LNC | ||
| 942 | _cSPRINGER | ||
| 999 |
_c180502 _d180502 |
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