Gerald Edelman and Giulio Tononi,A Universe of Consciousness: How Matter Becomes Imagination,New York: Basic Books, 2000, xiii+ 274 pp., $17.00 (paper), ISBN 0-465-01377-5

Minds and Machines -     

Michael Tye,Consciousness, Color,and Content,Representation and Mind Series,Cambridge, MA/London: A Bradford Book,MIT Press, 2000, xiii + 198 pp., $29.95 (cloth), ISBN 0-262-20129-1

Minds and Machines -     

Name-Face Association in Web Videos: A Large-Scale Dataset,Baselines, and Open Issues

Associating faces appearing in Web videos with names presented in the surrounding context is an important task in many applications. However, the problem is not well investigated particularly under large-scale realistic scenario,mainly due to the scarcity of dataset constructed in such circumstance. In this paper, we introduce a Web video dataset of celebrities, named WebV-Cele, for name-face association. The dataset consists of 75 073 Internet videos of over 4 000 hours,covering 2 427 celebrities and 649 001 faces. This is, to our knowledge, the most comprehensive dataset for this problem.We describe the details of dataset construction, discuss several interesting findings by analyzing this dataset like celebrity community discovery, and provide experimental results of name-face association using five existing techniques. We also outline important and challenging research problems that could be investigated in the future.     

Learning how, what, and whether to communicate: emergence of protocommunication in reinforcement learning agents

This paper examines whether and how a primitive form of communication emerges between adaptive agents by using their excess degrees of freedom in action and perception. As a case study, we consider a game in which two reinforcement learning agents learn to earn rewards by intruding into the other’s territory. Our simulation shows that agents with lights and light sensors can learn turn-taking behavior for avoiding collisions using visual communication. Further analysis reveals a variety in the mapping of messages to signals. In some cases, the differentiation of roles into a sender and a receiver was observed. The result confirmed that protocommunication can emerge through interaction between agents having generic reinforcement learning capability. This work was presented in part at the 12th International Symposium on Artificial Life and Robotics, Oita, Japan, January 25–27, 2007