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CS 8520: Artificial Intelligence
Conclusions
Paula Matuszek
Fall, 2005
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
1
Weak AI: Can Machines Act Intelligently?
• Some things they can do:
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Computer vision: face recognition from a large set
Robotics: autonomous car
Natural language processing: simple machine translation
Spoken language systems: ~1000 word continuous speech
Learning: text categorization into ~1000 topics
Games: Grand Master level in chess (world champion), etc.
• Some ways they do it:
– Search
– Knowledge Representation
– Machine Learning
• So -- yes or no?
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
2
Strong AI: Can Machines Really Think?
• Argument from consciousness, Chinese Room
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Computer programs are formal, syntactic entities
Minds have mental contents, or semantics
Syntax is not by itself sufficient for semantics
Brains cause minds.
• What do we mean by "really think"?
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
3
What Next?
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AAAI/IAAI 2005 Invited Speakers
Internal Grounding, Reflection and the Illusion of Self-Consciousness, Marvin Minsky.
AI: More than the Sum of its Parts, Ronald J. Brachman
Knowledge as Power: A View from the Semantic Web, James Hendler
How Can AI and Robotics Help Us Understand Social Animal Behavior?, Tucker Balch
From Knowledge to Intelligence — Building Blocks and Applications, Chitta Baral
Multiagent Learning in Games, Amy Greenwald
Faceted Metadata in Search Interfaces, Marti Hearst
Representation Policy Iteration: A Unified Framework for Learning Behavior and
Representation, Sridhar Mahadevan
May All Your Plans Succeed!, Dana S. Nau
From AI Winter to AI Spring: Can a New Theory of Neocortex Lead to Truly Intelligent
Machines? Jeff Hawkins
Real World Applications of Genetic Programming: Circuits, Optics, Dynamic System
Control, Martin A. Keane
AI Meets Web 2.0: Building The Web of Tomorrow Today, Jay M. Tenenbaum
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
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AAAI/IAAI 2005 Papers
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Activity and Plan Recognition: 5
Agents / Multiagent Systems: 27
Analogical and Case-Based Reasoning: 6
Auctions and Market-based Systems: 5
Automated Reasoning: 12
Constraint Satisfaction and Satisfiability: 20
Game Theory and Economic Models: 5
Human-Computer Interaction: 6
Knowledge Acquisition and Engineering: 2
Knowledge Representation and Reasoning: 19
Logic Programming: 4
Machine Learning: 35
Machine Perception: 5
Markov Decision Processes and Uncertainty: 11
Natural Language Processing and Speech Recognition: 15
Planning and Scheduling: 16
Robotics: 16
Search: 10
Semantic Web, Information Retrieval, and Extraction: 6
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
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What Next? IJCAI 2005 Invited Speakers
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Visual Tracking of Objects in Motion, Andrew Blake
The Quest for Efficient Probabilistic Inference, Adnan Darwiche
Understanding Molecular Regulatory Mechanisms, Nir Friedman
Babies and Bayes Nets: Causal Inference in Computers and
Children, Alison Gopnik
Designing Robots: From Artificial Limbs to Powerful, Energetic,
Autonomous Humanoids, Stephen Jacobsen
What's New in Statistical Machine Translation, Kevin Knight
The Next Generation of Automated Reasoning Methods, Bart
Selman
Probabilistic Models of Human Sensorimotor Control, Daniel
Wolper
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
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IJCAI 2005 Papers
Presented Papers:
Case-Based Reasoning: 5 papers
Constraint Satisfaction and Search: 50 papers
Knowledge Representation and Reasoning: 46
Learning: 46
Multi-Agent: 12
NLP: 30
Philosophical Foundations: 3
Planning: 13
Uncertainty: 19
User Interface and Modeling: 4
Vision and Robotics:11
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
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AAAI 2005 Workshops
• Contexts and Ontologies: Theory, Practice and Applications
• Educational Data Mining
• Exploring Planning and Scheduling for Web Services, Grid and
Autonomic Computing
• Human Comprehensible Machine Learning
• Inference for Textual Question Answering
• Integrating Planning into Scheduling
• Learning in Computer Vision
• Link Analysis
• Mobile Robot Workshop
• Modular Construction of Human-Like Intelligence
• Multiagent Learning
• Question Answering in Restricted Domains
• Spoken Language Understanding
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
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IJCAI 2005 Workshops
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Agents Applied in Health Care
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Computational Creativity
Configuration
Distributed Constraint Reasoning
Modelling Others from Observations
Model-Based Systems
Advances in Preference Handling
AI and Autonomic Communications
Game Theoretic and Decision
Theoretic Agents
Spatial and Temporal Reasoning
Modelling and Retrieval of Context
Intelligent Techniques for Web
Personalization
Logic and Communication in MultiAgent Systems
Neural-Symbolic Learning and
Reasoning
Trading Agent Design and Analysis
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•Agents in Real-Time and Dynamic Environments
•Knowledge and Reasoning for Answering Questions
•Grammatical Inference Applications: Successes and
Future Challenges
Modelling and Solving Problems with Constraints
Multi-Agent Information Retrieval and Recommender
Systems
Reasoning, Representation, and Learning in Computer
Games
•Knowledge Management and Organisational Memories
[email protected]: Graduate Career Development for Women in
Computing Research
Planning and Learning in A Priori Unknown or Dynamic
Domains
•Computational Models of Natural Argument
•Reasoning with Uncertainty in Robotics
•Nonmonotonic Reasoning, Action, and Change
•Knowledge and Reasoning in Practical Dialogue Systems
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
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Where Will We Be in 25 Years?
2004 ??
2029 ??
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
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And what if we get
there?
CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005
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