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session02 - Last Time Acting Humanly The Full Turing Test...

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Last Time: Acting Humanly: The Full Turing Test Alan Turing's 1950 article Computing Machinery and Intelligence discussed conditions for considering a machine to be intelligent “Can machines think?” ←→ “Can machines behave intelligently?” The Turing test (The Imitation Game): Operational definition of intelligence. Computer needs to possess: Natural language processing, Knowledge representation, Automated reasoning, and Machine learning Problem: 1) Turing test is not reproducible, constructive, and amenable to mathematic analysis. 2) What about physical interaction with interrogator and environment? Total Turing Test: Requires physical interaction and needs perception and actuation. 1
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Last time: The Turing Test http://www.ai.mit.edu/projects/infolab/ http://aimovie.warnerbros.com 2
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Last time: The Turing Test http://www.ai.mit.edu/projects/infolab/ http://aimovie.warnerbros.com 3
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Last time: The Turing Test http://www.ai.mit.edu/projects/infolab/ http://aimovie.warnerbros.com 4
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Last time: The Turing Test http://www.ai.mit.edu/projects/infolab/ http://aimovie.warnerbros.com 5
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Last time: The Turing Test http://www.ai.mit.edu/projects/infolab/ http://aimovie.warnerbros.com 6
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This time: Outline • Intelligent Agents (IA) • Environment types • IA Behavior • IA Structure • IA Types 7
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What is an (Intelligent) Agent? • An over-used, over-loaded, and misused term. • Anything that can be viewed as perceiving its environment through sensors and acting upon that environment through its effectors to maximize progress towards its goals . 8
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What is an (Intelligent) Agent? PAGE (Percepts, Actions, Goals, Environment) and environment • The notion of an agent is meant to be a tool for analyzing systems , • It is not a different hardware or new programming languages 9
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Example: Human mind as network of thousands or millions of agents working in parallel. To produce real artificial intelligence, this school holds, we should build computer systems that also contain many agents and systems for arbitrating among the agents' competing results. • Distributed decision-making and control • Challenges: • Action selection: What next action to choose • Conflict resolution Intelligent Agents and Artifcial Intelligence sensors effectors Agency 10
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Agent Types We can split agent research into two main strands: • Distributed Artificial Intelligence (DAI) – Multi-Agent Systems (MAS) (1980 – 1990) • Much broader notion of "agent" (1990’s – present) • interface, reactive, mobile, information 11
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Environment Agent percepts actions ? Sensors Effectors How to design this? 12
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session02 - Last Time Acting Humanly The Full Turing Test...

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