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17:00:52 <RRSAgent> logging to https://www.w3.org/2026/02/25-smartagents-4-irc
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19:20:09 <kaz> meeting: Multi-Agent Conversational Methodology Breakout
19:22:00 <kaz> present: Kaz_Ashimura, plh, Emmett_Coin, Matt_Shomphe, Molly_Lewis, Samantha_Estoesta
19:22:09 <kaz> topic: Self Intro
19:22:17 <kaz> (everybody gives their intro)
19:26:56 <kaz> topic: Discussion
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19:28:13 <kaz> se: different cultural groups use agents
19:28:32 <kaz> ... different communications styles with agents
19:29:07 <kaz> ec: great question
19:29:40 <kaz> ... e.g., Chinese agents vs Australian agents
19:30:14 <kaz> ms: trying to negotiate cultural differences
19:31:45 <kaz> ... if two agents talking with each other, e.g., one from China and another from Australia
19:31:56 <kaz> ec: might be intentional
19:32:07 <kaz> ... natural to happen
19:32:20 <kaz> ... also should think about agents working with people
19:32:44 <kaz> ... maybe we should have some protocol to handle the situation
19:33:11 <kaz> se: other issue about global languages
19:33:44 <kaz> ... could have shared common language dictionary
19:34:17 <kaz> ... to handle difficulty cultures and styles
19:34:24 <kaz> ec: interesting
19:34:43 <kaz> ... e.g., English as the second language
19:34:57 <kaz> ... we could have a standard like English language
19:35:17 <kaz> ... kind of like Esperant
19:35:23 <kaz> ms: think so too
19:35:38 <kaz> s/rant/ranto/
19:36:07 <kaz> ec: some way to translate to a standard
19:36:14 <kaz> ... kind of like multilingual
19:38:40 <kaz> ... for example, would be useful to have an agent for warehouse coordination
19:39:33 <kaz> ms: can we imagine shipping products, e.g., to Ontario
19:39:41 <kaz> ... you have multi-lingual environment
19:40:07 <kaz> ... like the idea somebody talking based on the context
19:40:22 <kaz> ... there are many ways to think about that
19:40:29 <kaz> ... some sort of reduced English
19:40:50 <kaz> ... translated from other languages
19:41:08 <kaz> ... e.g., from Turkish
19:41:26 <kaz> ec: like Star Trek :)
19:41:30 <kaz> ms: right
19:41:53 <kaz> ... universal translator
19:42:16 <kaz> ... multi-agent and multi-languages
19:42:36 <kaz> ec: maybe agents should handle language modules on top of the structure
19:42:46 <kaz> ... very structured language agents could use
19:43:04 <kaz> ... mostly "language" is important for humans
19:45:29 <kaz> kaz: should think about both NL and structured model
19:45:58 <kaz> ... also we should think about dialog management model to handle multiple agents and humans
19:46:06 <kaz> ec: right
19:46:13 <kaz> ... have to have similar thing
19:46:26 <kaz> ... typical agents inside our standard field
19:46:57 <kaz> ... we could add the model why the human is raising hand
19:47:04 <kaz> kaz: right
19:47:18 <kaz> present+ Deborah_Dahl
19:47:23 <kaz> (Debbie jois)
19:47:34 <kaz> ec: (gives summary so far)
19:47:58 <kaz> ... should think about difference based on language, culture, etc.
19:48:39 <kaz> ... for example, there are girls who need help
19:48:48 <kaz> ... it's kind of like a game
19:49:06 <kaz> ms: interesting
19:49:18 <kaz> ... customers would like to achieve some goal
19:49:36 <kaz> s/help/help, and agents can help them go home/
19:50:10 <kaz> ec: when we generate an LLM, should get landmarks, etc.
19:51:37 <kaz> se: do we have to build to understand agents?
19:51:49 <kaz> ec: very helpful rules can be built
19:52:28 <kaz> dd: plh reminded me that there is just 10 more minutes
19:52:43 <kaz> ec: ok. any more things?
19:53:11 <kaz> dd: discussion around cultural issues?
19:53:14 <kaz> ec: yeah
19:53:23 <kaz> ... had discussion about cultural differences
19:53:37 <kaz> ... mid-west vs south America, etc.
19:53:58 <kaz> ms: impressive
19:54:17 <kaz> ec: agents like actors from Shakespeare
19:54:29 <kaz> ... how we signal cultural differences?
19:54:38 <kaz> se: so many disclosures
19:54:46 <kaz> ... languages we use for training
19:54:59 <kaz> ... English, e.g., American English
19:55:36 <kaz> ... need a good standard for that
19:55:46 <kaz> dd: some format for that purpose
19:55:59 <kaz> ec: have strong attitude for that
19:56:14 <kaz> ... what the agent is like
19:56:34 <kaz> ... not necessarily behaving right to people
19:56:46 <kaz> ms: right
19:57:07 <kaz> ... wouldn't trust developers accurately express it
19:58:23 <kaz> ec: possibly, we could have agents which have different purposes/attitudes
19:58:47 <kaz> ms: yeah, could be malicious
19:59:42 <kaz> [breakout ends]
20:00:06 <kaz> rrsagent, make log public
20:00:08 <kaz> rrsagent, draft minutes
20:00:09 <RRSAgent> I have made the request to generate https://www.w3.org/2026/02/25-smartagents-4-minutes.html kaz
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