CS 8520: Artificial Intelligence Conclusions

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CS 8520 Artificial IntelligenceConclusions

• Paula Matuszek
• Fall, 2005

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Weak AI Can Machines Act Intelligently?

• Some things they can do
• 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?

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Strong AI Can Machines Really Think?

• Argument from consciousness, Chinese Room
• 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"?

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What Next? 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

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AAAI/IAAI 2005 Papers

• 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

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What Next? IJCAI 2005 Invited Speakers

• 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

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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 Robotics11

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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

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IJCAI 2005 Workshops

• Agents Applied in Health Care
• 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 Multi-Agent Systems
• Neural-Symbolic Learning and Reasoning
• Trading Agent Design and Analysis

• 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
• women_at_CL 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

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Where Will We Be in 25 Years?
2004 ?? 2029 ??
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And what if we get there?