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For example, the bot identifies the best strategies to achieve its goal in what its programmers have taught it to understand as a competitive game.

Negobot’s goal is to collect the information that can help to determine if a subject involved in a conversation has paedophile tendencies, all the while maintaining a convincing, kid-like prattle, sprinkled with slang and misspellings, so the subject doesn’t get suspicious.

The term "Chatter Bot" was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs.

Still, it sounds like a promising start to address the alarming rate of child sexual abuse on the internet.

Hopefully, the researchers will keep it reined in so as to avoid entrapment – a morally questionable road that could, as Carr pointed out, ruin the chances for prosecutorial success. Are you comfortable with the premise, or does the chances of entrapment sour the concept for you? Follow @Lisa Vaas Follow @Naked Security Lisa has been writing about technology, careers, science and health since 1995.

Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition.

Some chatterbots use sophisticated natural language processing systems, but many simpler systems scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.

Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities.

which proposed what is now called the Turing test as a criterion of intelligence.

Negobot keeps track of its conversations with all users, both for future references and to keep a record that could be sent to the authorities if, in fact, the subject is determined to be a paedophile. The bot gives off only brief, trivial information, including name, age, gender and hometown.

If the subject wants to keep talking, the bot may talk about favorite films, music, drugs, or family issues, but it doesn’t get explicit until sex comes into the conversation.

The object of this paper is to cause just such a re-evaluation of the program about to be "explained". ELIZA's key method of operation (copied by chatbot designers ever since) involves the recognition of cue words or phrases in the input, and the output of corresponding pre-prepared or pre-programmed responses that can move the conversation forward in an apparently meaningful way (e.g. This is not strong AI, which would require sapience and logical reasoning abilities.

by responding to any input that contains the word 'MOTHER' with 'TELL ME MORE ABOUT YOUR FAMILY'). Jabberwacky learns new responses and context based on real-time user interactions, rather than being driven from a static database.

They also, of course, are human, and therefore remember content from previous conversations they’ve had with people.

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