Artificial general intelligence : 7th International Conference, AGI 2014, Quebec City, QC, Canada, August 1-4, 2014 : proceedings
著者
書誌事項
Artificial general intelligence : 7th International Conference, AGI 2014, Quebec City, QC, Canada, August 1-4, 2014 : proceedings
（Lecture notes in computer science, 8598 . Lecture notes in artifical intelligence . LNCS sublibrary ; SL 7 . Artificial intelligence）
Springer, c2014
大学図書館所蔵 件 / 全1件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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.
「Nielsen BookData」 より