The popularity of Web 2.0, characterized by a proliferation of social media sites, and Web 3.0, with more richly semantically annotated objects and relationships, brings to light a variety of important prediction, ranking, and extraction tasks. His recent research interests address the implementation of machine consciousness models in autonomous robots. He is cofounder and editor-in-chief of the International Journal of Machine Consciousness started in 2009. In 2007 he organized and cochaired the AAAI Fall Symposium on AI and Consciousness. He is an associate editor of the Artificial Intelligence Journal. Prerequisite knowledge: No specific prior knowledge is required.ДЄntonio Chellais a professor of robotics in the Computer Engineering Department of the University of Palermo, Italy, where he leads the robotics laboratory.

The tutorial will be divided in four parts: i) theoretical and philosophical issues of consciousness, ii) models of machine consciousness, iii) case studies and implemented systems, and iv) discussions and perspectives of machine consciousness. The tutorial will present the current state of research in machine consciousness and it will discuss the theoretical foundations and the experimental results of the field and their importance for the AI community.

On the one hand there is the hope that facing the problem of consciousness would be a decisive move to design better AI systems on the other hand the implementations of AI systems could be helpful for understanding natural consciousness. It focuses on attempts to apply the methods of AI, robotics and computer science to understand consciousness and to examine the possible role of consciousness in AI systems. Machine consciousness is placed at the crossing between technical disciplines (AI, robotics, computer science and engineering), theoretical disciplines (philosophy of mind, linguistics, logic), and empirical disciplines (psychology and neuroscience). The target of machine consciousness research is twofold: the possibility of building phenomenally conscious machines (that is, facing the hard problem of qualia) and the analysis of the active role of consciousness in controlling and planning the behaviour of an agent. Machine consciousness is an emerging field that addresses the problems of designing and implementing computational models of consciousness in an agent. Benton, Jorge Baier, and Subbarao Kambhampati Preferences and Partial Satisfaction in Planning Machine Learning Meets Knowledge Representation in the Semantic Web Rina Dechter, Bozhena Bidyuk, and Vibhav Gogate Sampling Techniques for Probabilistic and Deterministic Graphical Models Thomas Eiter, Stijn Heymans, Luis Polo, and Adeline Nazarenko Towards Intelligent Web Search: Inferring Searcher IntentДЄn Introduction to Constraint Programming and Combinatorial Optimisation through NumberjackД«arry O'Sullivan, Emmanuel Hebrard, and Eoin O'Mahony Rules on the Semantic Web: Advances in Knowledge Representation and StandardsД«enjamin Grosof, Mike Dean, and Michael Kifer Georgios Chalkiadakis, Edith Elkind, and Mike Wooldridge Reinforcement Learning Algorithms for MDPsД«ayesian Networks with Imprecise Probabilities: Theory and Applications to Knowledge-based Systems and Classification Large-Scale Ontology Reasoning and Querying Exploiting Statistical and Relational Information on the Web and in Social Media: Applications, Techniques, and New Frontiers

Expert choice 11 tutorial