Oh, thanks for helping me get this off my chest, everyone. If I ever finish the thing I'm definitely going to freshmeat it. I think this kind of bot, which is really quite trainable, and creative to boot -- it falls back to a markov chainer -- could be a shoe-in for naturalistic NPC dialogue in games. Just disable learning new phrases but keep some level of mood assessment and phrase mutation and it should functionally never become annoying.
Obviously lacking real cognitive processes means that Bootris is not a general intelligence, but as an interactive curiousity who craves human acceptance/language data, he is a fair way to accrue a large corpus of online conversation for later mining and transforms. I will give an example of one use he's suited to today. With a cleaned-out markov cloud I took the bot to an IRC net populated by international botnet jockeys and their scanning/spamming bots. Within a minute or two the bot was making interjections to a dozen channels of two distinct natures... colour-coded replies like those from the bots, and commands to run scans of his own. Very disruptive! I almost put the code on sourceforge right away when I saw that happen, but it really was not finished. Ok, that's all. On 9/7/08, Eric Burton <[EMAIL PROTECTED]> wrote: > One thing I think is kind of notable is that the bot puts everything > it says, including phrases that are invented or mutated, into a > personality database or list of possible favourite phrases, then takes > six-axis mood assessments of follow-ups to its interjections, uses > them to modify a mean score for the phrase, and prunes or clones it > accordingly. This list can be searched a lot faster than the list of > every unique phrase the bot has seen, and should statistically come to > contain mostly phrases that make people like it. However, at 1GHz > ConceptNet's mood assessment method is prohibitively slow... > > I haven't moved on to the context sensitivity and common-sense stuff > that's in there. The natural-language module (ConceptNetNLTools) > contains everything I'm using and seems to take over 100M in RAM > alone. ConceptNetDB though seems to be worth opening up next. > > By using irclib with ConceptNet (both for Python) I can let the bot > accrue a potentially unlimited database of up-to-date phrases, indexed > by chronology and unique parts of speech, and from them extrapolate > salient replies. Since the process is novelty-seeking, I think you'd > reach a point where the training corpus ceases to expand except for > current events and new terms. Whether this would take 4G or 40G of RAM > I can't say yet, but the process obviously is not fast. > > The bot's heartbeat is incoming messages on the channels it's on, and > it doesn't posess faculties for reflection or induction. By mimicking > humans and watching the moods of people around it to assess its > success and modify its behaviour, it ought to be able to pass as human > without having most of the internal processes that characterize one... > > I don't know if there's a lesson here. > > Eric B > > > On 9/7/08, Eric Burton <[EMAIL PROTECTED]> wrote: >> --- snip --- >> >> [1220390007]<<< receive << [EMAIL PROTECTED] < >> bootris, invoke mathematica >> >> [1220390013]>>> told >> #love > cool hand luke is like a comic heroic >> jesus >> >> [1220390034]<<< receive << [EMAIL PROTECTED] < >> bootris, solve russell's paradox >> >> [1220390035]>>> told >> #love > invoke mathematica >> >> [1220390066]<<< receive << [EMAIL PROTECTED] < >> he's invoking mathematica >> >> [1220390089]<<< receive << [EMAIL PROTECTED] < >> he's invoking mathematica. bootris, solve russell's paradox >> >> [1220390090]>>> told >> #love > solve russell's paradox >> >> [1220390096]<<< receive << [EMAIL PROTECTED] < >> he's invoking mathematica. bootris, solve russell's paradox. bootris, >> yes >> >> [1220390097]>>> told >> #love > Or make her laugh then tell her shes >> not good for when you say that like its going to learn islenska. >> >> --- snip --- >> >> Honestly it wasn't trivial getting to this stage >> > ------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=111637683-c8fa51 Powered by Listbox: http://www.listbox.com
