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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 (mostly) car Natural language processing: simple machine translation Spoken language systems: ~1000 word continuous speech

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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 (mostly) 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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Some Ethical Issues in AI

  • The usual automation issues

    • loss of jobs

    • dependence on technology

    • loss of motivation

  • Privacy issues

  • Loss of accountability

  • Danger to humanity (Asimov's Three Laws, Vinge's Singularity)

  • Do AIs have rights?


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What Next?

  • 2003: IJCAI Invited Speakers

    • Computer Vision: AI or Non-AI Problem(Kanade, CMU)

    • The Past, Present and Future of Web Information Retrieval (Henzinger, Google)

    • Deploying Information Agents on the Web (Knoblock, S. Cal)

    • Web Intelligence (WI): A New Paradigm for Developing the Wisdom Web and Social Network Intelligence(Liu, Hong Kong Baptist University)

    • Intelligent Systems in Travel and Tourism(Werthner, University of Trento, Italy)

    • Optimality of Collective Choice in Social Insects and Social Robots(Deneubourg, University Libre du Bruxelles)

    • Self-reconfiguring Robots: Challenges and Successes(Rus, Dartmouth)

    • And papers for 2004


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AAAI 2004: Some Workshops

  • Adaptive Text Mining and Extraction

  • Agent Organizations, Coalitions and Teams in Adaptive MultiAgent Systems

  • Challenges in Game AI

  • Semantic Web Personalization

  • Sensor Networks, Anchoring Symbols to Sensor Data

  • Intelligent Agent Architectures

  • Collective Mind: Architectures for Fleets of Equipment that Learn from their Experience


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2003 IAAI Deployed Applications Papers

  • Criterion Online Essay Evaluation: An Application for Automated Evaluation of Student Essays

  • Mobile Intelligence for Door-to-Door Sales Support System

  • The NASD Securities Observation, New Analysis, and Regulation System (SONAR)

  • TPO: A System for Scheduling and Managing Train Crew in Norway


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2003 IAAI Emerging Applications Papers

  • Applying Reinforcement Learning to Packet Scheduling in Routers

  • The Analogical Thesaurus

  • Broadcast News Understanding and Navigation

  • Qualitative Spatial Reasoning about Sketch Maps

  • Infrastructure Components for Large-Scale Information Extraction Systems

  • Building Agents for the Customer Service Front

  • Searching for Hidden Messages: Automatic Detection of Steganography

  • A Probabilistic Vehicle Diagnostic System Using Multiple Models

  • A Knowledge Acquisition Tool for Course of Action Analysis

  • Teachable Agents: A Learning by Teaching Environment for Science Domains

  • Secure Mobile Agents on Ad Hoc Wireless Networks

  • Say Cheese!: Experiences with a Robot Photographer

  • Transparent Grid Computing: A Knowledge-Based Approach

  • LAW: A Workbench for Approximate Pattern Matching in Relational Data

  • Guided Conversations about Leadership