Epstein Secrets

es book series in which this book appears, and who has been a strong supporter of the AGI conference series from the beginning • My wonderful wife Ruiting Lian, a source of fantastic amounts of positive energy for me since we became involved four years ago. Ruiting has listened to me discuss the ideas cont

g used as the basis for an open-source software project called OpenCog, which is being worked on by software developers around the world. Right now OpenCog embodies only a percentage of the overall CogPrime design as described here. But if OpenCog continues to attract sufficient funding or volunteer in

the ideas presented here are not mere armchair speculation - they are currently being used as the basis for an open-source software project called OpenCog, which is being worked on by software developers around the world. Right now OpenCog embodies only a percentage of the overall CogPrime design as d

validated or refuted via practice. (As a related note: here and there in this book, we will refer to the "current" CogPrime implementation (in the OpenCog framework); in all cases this refers to OpenCog as of late 2013.) To state one believes one knows a workable path to creating a human-level (and po

chines book series in which this book appears, and who has been a strong supporter of the AGI conference series from the beginning My wonderful wife Ruiting Lian, a source of fantastic amounts of positive energy for me since we became involved four years ago. Ruiting has listened to me discuss the ideas contai

ing used as the basis for an open-source software project called OpenCog, which is being worked on by software developers around the world. Right now OpenCog embodies only a percentage of the overall CogPrime design as described here. But if OpenCog continues to attract sufficient funding or volunteer inte

at the ideas presented here are not mere armchair speculation — they are currently being used as the basis for an open-source software project called OpenCog, which is being worked on by software developers around the world. Right now OpenCog embodies only a percentage of the overall CogPrime design as des

be validated or refuted via practice. (As a related note: here and there in this book, we will refer to the "current" CogPrime implementation (in the OpenCog framework); in all cases this refers to OpenCog as of late 2013.) To state one believes one knows a workable path to creating a human-level (and pot

EFTA00728505 ' (RelEx) with OpenCo Prime Murilo Queiroz Experimenting with use of virtual embodiment for NL disambiguation Brazil Half Time Ruiting Lian NLP: language generation China Half time Work Breakdown Here we describe this work in slightly more detail. Integration of NLP and OpenCogPrime

ning, etc. It is time to finally perform this integration. Carlos will complete the integration of RelEx (including the RelEx2Frame component) with OpenCog, and then carry out various RelEx improvements needed to make RelEx useful to virtually embodied agents. Samir will integrate the NLGen language ge

uage generation) and virtual agent control (in the RealXTend virtual world) to work together within the OpenCogPrime (OCP) system (built within the OpenCog framework). As a main (but not exclusive) goal we will be seeking to demonstrate some examples of the use of embodied experience to help with natur

connection with the specific examples that gave rise to it. EFTA00624582 EFTA00624583 Chapter 46 Natural Language Generation Co-authored with Ruiting Lian and Rui Liu 46.1 Introduction Language generation, unsurprisingly, shares most of the key features of language comprehension discussed in chapter

k for Natural Language Comprehension Now we move forward in the pipeline from syntax toward semantics. The NL comprehension framework provided with OpenCog at its inception in 2008 is RelEx, an English-language se- mantic relationship extractor, which consists of two main components: the dependency extra

rammar terms, this corresponds loosely to (S (NP The cat) (VP chased (NP a snake)) EFTA00624530 384 44 Natural Language Comprehension but the OpenCog linguistic pipeline makes scant use of this kind of phrase structure rendition (which is fine in this simple example; but in the case of complex sen

. Messy genetic algorithms: Motivation, analysis, and first results. Complex Systems, 1989. EFTA00624677 References 531 CLI0. Ben Coertzel and Ruiting Lian. A probabilistic characterization of fuzzy semantics. Proc. of ICAI-10, Beijing, 2010. CLdG+ 10. Ben Coertzel, Ruiting Lien, Hugo de Gar's, Shuo C

his nature that can be effective in this context We have not yet done any sophisticated experiments in this regard - our current experiments using OpenCog to control robots involve cruder integration of OpenCog with perceptual and motor subsystems, rather than the tight hybridization described in Chapt

obabilistic evolutionary program learn- Mg is an effective method The probabilistic evolutionary program learning method we have worked with most in OpenCog is MOSES, and significant evidence has been gathered showing it to be dramatically more effective than genetic programming on relevant classes of p

language to be learned quite rapidly. EFTA00624525 Chapter 44 Natural Language Comprehension Co-authored with Michael Ross and Linas Vepstas and Ruiting Lian 44.1 Introduction Two key approaches to endowing AGI systems with linguistic facility exist, as noted above: • "Experiential" - shorthand here for

igence (or any other kind of highly powerful general intelligence), the creation of novel ideas will be paramount. New idea creation takes place in OpenCog via a variety of methods - e.g. inside MOSES which creates new program trees, PLN which creates new logical relationships, ECAN which creates new a