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MC-Papers: Weekly updated compilation of Machine Consciousness Papers

ConsScale: A Scale for Measuring the Development of Consciousness in Artificial Agents (www.ConsScale.com)

 

CONSCIOUSNESS AND ROBOT SENTIENCE
Written by Raul Arrabales   
Monday, 18 June 2012

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World Scientific
Series on Machine Consciousness - Vol. 2
 

CONSCIOUSNESS AND ROBOT SENTIENCE
by Pentti O.A. Haikonen 

  

Available now for pre-order at World Scientific and Amazon!


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.
 
 
Contents:

The Real Problem of Consciousness
Consciousness and Subjective Experience
Perception and Qualia
From Perception to Consciousness
Emotions and Consciousness
Inner Speech and Consciousness
Qualia and Machine Consciousness
Testing Consciousness
Artificial Conscious Cognition
Associative Information Processing
Neural Realization of Associative Processing
Designing a Cognitive Perception System
Examples of Perception/Response Feedback Loops
The Transition to Symbolic Processing
Information Integration with Multiple Modules
Emotional Significance of Percepts
The Outline of the Haikonen Cognitive Architecture (HCA)
Mind Reading Applications
The Comparison of Some Cognitive Architectures
Example: An Experimental Robot with the HCA
Concluding Notes; Consciousness Explained
 
 
Readership: Enthusiasts in cognitive robot research (including not only experts but also hobbyists), as well as university students, researchers and engineers on robots and/or cognitive machines.  
 
250pp (approx.)    Pub. date: Jun 2012  
ISBN:   978-981-4407-15-1

Available now for pre-order at World Scientific and Amazon. 

 

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Last Updated ( Monday, 18 June 2012 )
 
CPF: IMPACTS AND RISKS OF ARTIFICIAL GENERAL INTELLIGENCE
Written by Raul Arrabales   
Monday, 18 June 2012

CALL FOR PAPERS:

'IMPACTS AND RISKS OF ARTIFICIAL GENERAL INTELLIGENCE'
(AGI IMPACTS 2012)

10-11.12.2012, OXFORD

www.winterintelligence.org/oxford2012/agi-impacts/cfp/

The first conference on the Impacts and Risks of Artificial General Intelligence will take place at the University of Oxford, St. Annes College, on December 10th and 11th, 2012 immediately following the fifth annual conference on Artificial General Intelligence AGI-12 (agi-conf.org/2012). AGI-Impacts is organized by the Future of Humanity Institute (FHI) at Oxford University through its Programme on the Impacts of Future Technology. The two events form the Winter Intelligence Multi-Conference 2012, hosted by FHI.
www.winterintelligence.org

The conference will explore questions such as: How can we best predict the impact of as future intelligent and superintelligent machines? How can we combine ideas from computer science, mathematics and philosophy to best estimate this impact? What will be the impacts of AGI on the world? Which directions of research should be most explored, and which should be de-emphasized or avoided?   What can we do to best ensure scientific rigour in this non-experimental academic field? What are the best ideas and methods for ensuring both safety and predictability of advanced AI systems? Can we lay the foundations to a field of rigorous study of realistic AGI control methods that lead to implementable security protocols?

The scope is wide, but all papers are expected to be of high quality and with the maximal amount of rigour that is possible for the subject area. We envisage publication of selected submissions in a special journal issue.

 

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XCR-1 Robot. Sound direction detection demo
Written by Ral Arrabales   
Monday, 16 April 2012

Sound direction detection demo using the Haikonen Architecture in the XCR-1 Robot

In this experiment, Haikonens XCR-1 robot detects the sound direction information and integrates it with the wheel drive so that the robot is able to home in on the sound source. Note that in the beginning of the first episode the robot is moving on its own initiative and the command "robot!" captures the robot's attention and the ongoing activity is terminated at once. The "ears", two electret microphones and their preamplifiers are located on the each side of the robot. Sound direction is determined by the relative difference of the left and right sound intensity. The absolute sound intensity does not matter. No microprocessors or programs here! The robot is controlled by a fully associative and non-digital neural cognitive architecture. See Haikonen Cognitive Architecture for more details.

 

 

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