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Biologically Inspired Cognitive Architectures 2012

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Cover of 'Biologically Inspired Cognitive Architectures 2012'

Table of Contents

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    Book Overview
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    Chapter 1 Back to Basics and Forward to Novelty in Machine Consciousness
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    Chapter 2 Characterizing and Assessing Human-Like Behavior in Cognitive Architectures
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    Chapter 3 Architects or Botanists? The Relevance of (Neuronal) Trees to Model Cognition
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    Chapter 4 Consciousness and the Quest for Sentient Robots
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    Chapter 5 Biological Fluctuation “Yuragi” as the Principle of Bio-inspired Robots
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    Chapter 6 Active Learning by Selecting New Training Samples from Unlabelled Data
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    Chapter 7 Biologically Inspired beyond Neural: Benefits of Multiple Modeling Levels
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    Chapter 8 Turing and de Finetti Ganes: Machines Making Us Think
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    Chapter 9 How to Simulate the Brain without a Computer
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    Chapter 10 Odor Perception through Network Self-organization: Large Scale Realistic Simulations of the Olfactory Bulb
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    Chapter 11 Extending Cognitive Architectures
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    Chapter 12 Babies and Baby-Humanoids to Study Cognition
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    Chapter 13 Towards Architectural Foundations for Cognitive Self-aware Systems
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    Chapter 14 Achieving AGI within My Lifetime: Some Progress and Some Observations
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    Chapter 15 Learning and Creativity in the Global Workspace
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    Chapter 16 Multimodal People Engagement with iCub
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    Chapter 17 Human Action Recognition from RGB-D Frames Based on Real-Time 3D Optical Flow Estimation
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    Chapter 18 Modality in the MGLAIR Architecture
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    Chapter 19 Robotics and Virtual Worlds: An Experiential Learning Lab
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    Chapter 20 Comprehensive Uncertainty Management in MDPs
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    Chapter 21 A New Humanoid Architecture for Social Interaction between Human and a Robot Expressing Human-Like Emotions Using an Android Mobile Device as Interface
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    Chapter 22 The Concepts of Intuition and Logic within the Frame of Cognitive Process Modeling
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    Chapter 23 Do Humanoid Robots Need a Body Schema?
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    Chapter 24 Simulation and Anticipation as Tools for Coordinating with the Future
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    Chapter 25 Solutions for a Robot Brain
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    Chapter 26 Exemplars, Prototypes and Conceptual Spaces
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    Chapter 27 The Small Loop Problem: A Challenge for Artificial Emergent Cognition
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    Chapter 28 Crowd Detection Based on Co-occurrence Matrix
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    Chapter 29 Development of a Framework for Measuring Cognitive Process Performance
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    Chapter 30 I Feel Blue: Robots and Humans Sharing Color Representation for Emotional Cognitive Interaction
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    Chapter 31 Investigating Perceptual Features for a Natural Human - Humanoid Robot Interaction Inside a Spontaneous Setting
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    Chapter 32 Internal Simulation of an Agent’s Intentions
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    Chapter 33 A Model of Primitive Consciousness Based on System-Level Learning Activity in Autonomous Adaptation
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    Chapter 34 Decision-Making and Action Selection in Two Minds
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    Chapter 35 Cognitive Chrono-Ethnography: A Methodology for Understanding Users for Designing Interactions Based on User Simulation with Cognitive Architectures
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    Chapter 36 Emotional Emergence in a Symbolic Dynamical Architecture
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    Chapter 37 An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision)
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    Chapter 38 Insertion Cognitive Architecture
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    Chapter 39 A Parsimonious Cognitive Architecture for Human-Computer Interactive Musical Free Improvisation
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    Chapter 40 Cognitive Integration through Goal-Generation in a Robotic Setup
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    Chapter 41 A Review of Cognitive Architectures for Visual Memory
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    Chapter 42 A Model of the Visual Dorsal Pathway for Computing Coordinate Transformations: An Unsupervised Approach
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    Chapter 43 Multiagent Recursive Cognitive Architecture
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    Chapter 44 A Biologically-Inspired Perspective on Commonsense Knowledge
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    Chapter 45 Coherence Fields for 3D Saliency Prediction
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    Chapter 46 Principles of Functioning of Autonomous Agent-Physicist
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    Chapter 47 Affect-Inspired Resource Management in Dynamic, Real-Time Environments
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    Chapter 48 An Approach toward Self-organization of Artificial Visual Sensorimotor Structures
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    Chapter 49 Biologically Inspired Methods for Automatic Speech Understanding
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    Chapter 50 Modeling Structure and Dynamics of Selective Attention
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    Chapter 51 How to Engineer Biologically Inspired Cognitive Architectures
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    Chapter 52 An Adaptive Affective Social Decision Making Model
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    Chapter 53 A Robot Uses an Evaluation Based on Internal Time to Become Self-aware and Discriminate Itself from Others
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    Chapter 54 Biologically Inspired Cognitive Architectures 2012
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    Chapter 55 Intertemporal Decision Making: A Mental Load Perspective
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    Chapter 56 A Non-von-Neumann Computational Architecture Based on in Situ Representations: Integrating Cognitive Grounding, Productivity and Dynamics
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    Chapter 57 A Formal Model of Neuron That Provides Consistent Predictions
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    Chapter 58 Safely Crowd-Sourcing Critical Mass for a Self-improving Human-Level Learner/“Seed AI”
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    Chapter 59 Unconscious Guidance of Pedestrians Using Vection and Body Sway
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    Chapter 60 The Analysis of Amodal Completion for Modeling Visual Perception
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    Chapter 61 Naturally Biased Associations between Colour and Shape: A Brentanian Approach
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    Chapter 62 Architecture to Serve Disabled and Elderly
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    Chapter 63 Bio-inspired Sensory Data Aggregation
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    Chapter 64 Clifford Rotors for Conceptual Representation in Chatbots
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    Chapter 65 Neurogenesis in a High Resolution Dentate Gyrus Model
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    Chapter 66 A Game Theoretic Model of Neurocomputation
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Title
Biologically Inspired Cognitive Architectures 2012
Published by
Springer Berlin Heidelberg, September 2012
DOI 10.1007/978-3-642-34274-5
ISBNs
978-3-64-234273-8, 978-3-64-234274-5
Editors

Chella, Antonio, Pirrone, Roberto, Sorbello, Rosario, Jóhannsdóttir, Kamilla Rún

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Brazil 2 4%
Canada 1 2%
France 1 2%
Unknown 41 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Researcher 10 21%
Student > Bachelor 5 11%
Student > Master 5 11%
Professor > Associate Professor 4 9%
Other 9 19%
Unknown 3 6%
Readers by discipline Count As %
Computer Science 9 19%
Engineering 9 19%
Philosophy 4 9%
Psychology 3 6%
Social Sciences 3 6%
Other 14 30%
Unknown 5 11%