RT @microtask: Collective Intelligence in Human, a Literature review (PDF) http://t.co/6kqOEEpx #crowdsourcing... While it seems unlikely that any method of guaranteeing human-friendliness (“Friendliness”) on the part of advanced Artificial General Intelligence (AGI) systems will be possible, this doesn’t mean the only alternatives are throttling AGI development to safeguard humanity, or plunging recklessly into the complete unknown. Without denying the presence of a certain irreducible uncertainty in such matters, it is still sensible to explore ways of biasing the odds in a favorable way, such that newly created AI systems are significantly more likely than not to be Friendly. Several potential methods of effecting such biasing are explored here, with a particular but non-exclusive focus on those that are relevant to open-source AGI projects, and with illustrative examples drawn from the OpenCog open-source AGI project. Issues regarding the relative safety of open versus closed approaches to AGI are discussed and then nine techniques for biasing AGIs in favor of Friendliness are presented: 
Since I’m about to submit another themed issue of Cognitive Systems Research I thought I’d give a plug to the papers from the last CSR “Extended Mind” issue I edited some two months ago. 
“” “I think the Net generation is beginning to see knowledge in a way that is closer to the truth about knowledge. (…) Knowing looks less like capturing truths in books than engaging in never-settled networks of discussion and argument. There is little doubt that the most important technological, economic and social development of the past two decades is the emergence of a global, computer-based communication network. 
In this book Philip Grime and Simon Pierce explain how evidence from across the world is revealing that, beneath the wealth of apparently limitless and bewildering variation in detailed structure and functioning, the essential biology of all... Adaptive networks are well-suited to perform decentralized information processing and optimization tasks and to model various types of self organized and complex behavior encountered in nature. Adaptive networks consist of a collection of agents with processing and learning abilities. The agents are linked together through a connection topology, and they cooperate with each other through local interactions to solve distributed inference problems in real-time. The continuous diffusion of information across the network enables agents to adapt their performance in relation to changing data and network conditions; it also results in improved adaptation and learning performance relative to non-cooperative networks. This article provides an overview of diffusion strategies for adaptation and learning over networks. The article is divided into several sections: 1. Motivation; 2. Mean-Square-Error Estimation; 3. Distributed Optimization via Diffusion Strategies; 4. Adaptive Diffusion Strategies; 5. Performance of Steepest-Descent Diffusion Strategies; 6. Performance of Adaptive Diffusion Strategies; 7. Comparing the Performance of Cooperative Strategies; 8. Selecting the Combination Weights; 9. Diffusion with Noisy Information Exchanges; 10. Extensions and Further Considerations; Appendix A: Properties of Kronecker Products; Appendix B: Graph Laplacian and Network Connectivity; Appendix C: Stochastic Matrices; Appendix D: Block Maximum Norm; Appendix E: Comparison with Consensus Strategies; References. I don't know enough about the science to tell whether this is a significant step forward in neural-interface systems, or just the specific potential of neural-interface systems to aid paralyzed individuals, but this report from the ... 
Amazon.com: The Global Brain: Your Roadmap for Innovating Faster and Smarter in a Networked World (9780132339513): Satish Nambisan, Mohanbir Sawhney: Books (The Global Brain: Your Roadmap for Innovating Faster and Smarter in a Networked World: All... 
In his speech, Geoff Mulgan talks about collective intelligence and how we think about the idea of openness. Through... 
I think this is the result of a couple of trends in the semantic realm. Last year I wrote a document for Gartner entitled “Finding Meaning in the Enterprise: A Semantic Web and Linked Data Primer.” In a section on the future of the ... Get an under the hood look at the next frontier in Search, from the team at Google behind the technology. The Knowledge Graph is a huge collection of the peo... 
Links Roundup: Collective Intelligence, Citrix's Collaborative Workspace, Improvisation's Role in Change, and Innovation Consultants as Innovation Killers. Written by Renee | May 16, 2012 | 0 ... |
Jurgen Appelo : meta-model for changing social complex systems http://t.co/xg4Wgho8... The Extended Mind: Recent Experimental Evidence (Video: The Extended Mind: Recent Experimental Evidence http://t.co/YEsJqK8M...)... In recent decades, the ideas of interdisciplinarity and complexity have become increasingly entwined. This convergence invites an exploration of the links and their implications. 
The methods employed in science (and that I was trained in) have long moved on and allow the study of complex systems in technically very sophisticated ways and at many different scales. Is the book groundbreaking? 
Amazon.com: Language of Life: How Communication Drives Human Evolution (9781616145798): James Lull, Eduardo Neiva: Books...See it on Scoop.it, via CxBooks... 
The International Institute of Cognitive Informatics and Cognitive Computing (ICIC) is an international not-for-profit association of researchers and practitioners in a wide range of contemporary disciplines such as cognitive informatics, abstract intelligence, cognitive computing, denotational mathematics, cognitive computers, computational intelligence, cognitive systems, cognitive robots, cognitive Internet, cognitive linguistics, cognitive learning engines, cognitive inference engines, brain informatics, neuroinformatics and software science. ICIC focuses not only on basic theories and denotational mathematics underpinning the aforementioned scientific and engineering disciplines, but also on their applications in industries, health care, societies and humanities. The mission of ICIC is to promote collaborative research in cognitive informatics and cognitive computing, to establish a repository of the latest research results, to develop joint funding opportunities, to train and exchange graduate students, and to strengthen the applications of cognitive informatics and cognitive computing in industries. 
Some people complain that Google should clearly state that this is an implementation of the 'Semantic Web' (which was not invented by Google), others say that most concepts like 'taxonomies' have been around for hundreds ... 
The latest issue of Swarm Intelligence is now available featuring this paper “A speculative approach to parallelization in particle swarm optimization.” The original formulation of PSO is due to Kennedy, J., Eberhart, R. 
In an essay from 2001, the French collective Tiqqun speaks of what they call the cybernetic hypothesis: "[A]t the end of the twentieth century the image of steering, that is to say management, has become the primary metaphor ... 
Today ten years have passed since A New Kind of Science (”the NKS book”) was published. But in many ways the development that started with the book is... 
(Phys.org) -- The main technical difficulty in building a quantum computer could soon be the thing that makes it possible to build one, according to new research from The Australian National University. 
Proof-of-principle experiment shows how humanoid robots can co-operate on a large scale by copying the behaviour of social insects and bacterial colonies In recent years, various companies and labs have developed impressive humanoid robots that... |
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