Artificial General Intelligence: 7th International Conference, Agi 2014, Quebec City, Qc, Canada, August 1-4, 2014, Proceedings - Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence

Jacket Description/Back: This book constitutes the refereed proceedings of the 7th International Conference on Artificial General Intelligence, AGI 2014, held in Quebec City, QC, Canada, in August 2014. The 22 papers and 8 posters were carefully reviewed and selected from 65 submissions. Researchers have recognized the necessity of returning to the original goals of the field by treating intelligence as a whole. Increasingly, there is a call for a transition back to confronting the more difficult issues of "human-level intelligence" and more broadly artificial general intelligence. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind in a certain sense. The AGI conference series has played, and continues to play, a significant role in this resurgence of research on artificial intelligence in the deeper, original sense of the term of "artificial intelligence." The conferences encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches. Table of Contents: Agent Architectures.- Autonomy.- Benchmarks and Evaluation.- Cognitive Modeling.- Collaborative Intelligence.- Creativity.- Distributed AI.- Formal Models of General Intelligence.- Implications of AGI for Society, Economy and Ecology.- Integration of Different Capabilities.- Knowledge Representation for General Intelligence.- Languages, Specification Approaches and Toolkits.- Learning, and Learning Theory.- Motivation, Emotion and Affect.- Multi-Agent Interaction.- Natural Language Understanding.- Neural-Symbolic Processing.- Perception and Perceptual Modeling.- Philosophy of AGI.- Reasoning, Inference and Planning.- Reinforcement Learning.- Robotic and Virtual Embodiment.- Simulation and Emergent Behavior.- Solomonoff Induction.

Contributor Bio:  Goertzel, Ben The chief editor of the book, Dr. Ben Goertzel, has published 4 research treatises in AI, cognitive science and systems theory, a biography of Linus Pauling, and one previous edited volume (in the area of dynamical psychology), as well as numerous research papers (for his CV, see www.goertzel.org/ben/newResume.htm). Dr. Ben Goertzel has been involved in AI research and application development since the late 1980a (TM)s. He holds a PhD in mathematics from Temple University, and over the period 1989-1997 he held several university faculty positions in mathematics, computer science, and psychology, in the US, New Zealand and Australia. Dr. Goertzel is author of numerous research papers and journalistic articles, a biography of Linus Pauling, and five scholarly books dealing with topics in the cognitive sciences, including Chaotic Logic (Plenum Press, 1994), and Creating Internet Intelligence (Plenum Press, 2001). Currently, as CEO of the software firms Biomind LLC and Novamente LLC, he is leading a team of AI researchers in the development and commercialization of Artificial General Intelligence technology. Cassio Pennachin has been leading software development projects since the mid-1990's, in artificial intelligence, bioinformatics, operations research and other areas. Prior to taking on his current role as CTO of Novamente LLC and Biomind LLC, he served as founder and CEO of Vetta Technologies, a Brazil-based software consulting firm, and he led a team developing mass spectrometry data analysis software for Proteometrics. From 1998-2001 Cassio was the former VP of R&D at Webmind Inc., leading several projects in AI, data mining and information retrieval. Ben andCassio are the chief architects of the Novamente AI Engine, one of the AGI projects described in the book.