Chatting By Recognising Patterns

Most chatbots rely on fairly simple tricks to appear lifelike. Richard Wallace, creator of the top-ranked chatbot ALICE (Artificial Linguistic Internet Computer Entity), has handwritten a database of thousands of possible conversational gambits. Type a comment to ALICE, and it checks the phrase and its key words for a response coded to those words. In contrast, Jabberwacky, another top-rated Internet bot produced by Rollo Carpenter, keeps track of everything people have said to it, and tries to reuse those statements by matching them to the writer’s input. Neither chatbot has long-term memory, so they respond only to the last sentence written.

Nonetheless, these simple gambits can produce surprisingly intelligent-seeming conversations. That’s because they rely on a trick of human psychology: We humans tend to attribute much more intelligence to the systems than is actually there. If it seems partly aware, we assume it must be fully so. Some users have chatted with ALICE and Jabberwacky online for hours, apparently not knowing—or perhaps not caring—that they’re fake.
Tags: chat bot natural language alice jabberwacky | No Comments Add this link to... |
Category: news article from http://discovermagazine.com

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