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companions and the internet

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Information about companions and the internet
Education

Published on January 28, 2008

Author: Rainero

Source: authorstream.com

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Companions: persistent, personalised agents between people and Internet data:  Companions: persistent, personalised agents between people and Internet data Yorick Wilks Computer Science, University of Sheffield and Oxford Internet Institute Newcastle, March 04 ‘..[Artificial Intelligence] has missed a rendezvous with the human sciences’ Jean-Pierre Dupuy. ‘..claim the internet is killing their trade because customers…seem to prefer an electronic serf with limitless memory and no conversation.’ (Guardian 8.11.03) :  ‘..[Artificial Intelligence] has missed a rendezvous with the human sciences’ Jean-Pierre Dupuy. ‘..claim the internet is killing their trade because customers…seem to prefer an electronic serf with limitless memory and no conversation.’ (Guardian 8.11.03) The underlying technology: Human Language Processing by computer (HLT or NLP):  The underlying technology: Human Language Processing by computer (HLT or NLP) Whose Research Issues are not solved, but.. It is generally agreed what the issues are: Information access issues (Semantic Web..) Dialogue and interface issues Information presentation issues We shall touch only on the first two Good working versions of these technologies exist now and are increasingly being deployed, though I cannot give any full evidence of that today. The semantic web :  The semantic web Unexpected outcome of the text tagging movement from the Humanities! SGML-->HTML-->XML, VRML,voxML, anythingML) Purpose is making the web comprehensible for software agents (Berners-Lee’s dentist example) See this as a process of inverting IE: doing markup now at author time not analysis time. This is an old dream of AI/NLP revived: that information be stored and accessed by CONTENT (not by text string or index). The Semantic Web is now another name for Knowledge Management:  The Semantic Web is now another name for Knowledge Management The Semantic Web (SW) will allow the Internet to consist not only of documents but also machine-readable structured data. Key application areas are: Business apps: B2B and grid applications Personal assistants to permit effective management of personal data, activities and interests Agents/Personal assistants will display real power of the Semantic Web Some analysts now argue that up to 50% of the value of companies is contained in knowledge intangibles that will find their way into its Knowledge Management structure. Why the dialogue task is still hard:  Why the dialogue task is still hard « Where am I » in the conversation => what is being talked about now, what do they want? Does topic stereotopy help or are just Finite-State pairs enough (VoiceXML!)? How to gather the beliefs/knowledge required , preferably from existing sources? Are there distinctive procedures for managing conversations? How to learn the structures we need--assuming we do---and how to get and annotate the data? Some of this is the general NLP empiricist problem. VIEWGEN:a belief model that computes agents’ states :  VIEWGEN:a belief model that computes agents’ states Not a static nested belief structure like that of Perrault and Allen. Computes other agents’ RELEVANT states at time of need Topic restricted search for relevant information Can represent and maintain conflicting agent attitudes VIEWGEN as a knowledge basis for reference/anaphora resolution procedures:  VIEWGEN as a knowledge basis for reference/anaphora resolution procedures Not just pronouns but grounding of descriptive phrases in a knowledge basis Reconsider finding the ground of: ”that old Texas billionaire” as Ross Perot, against a background of what the hearer may assume the speaker knows when he says that. What is the most structure that might be needed and how much of it can be learned?:  What is the most structure that might be needed and how much of it can be learned? Steve Young (Cambridge) says learn it all and no a priori structures (cf MT history and Jelinek at IBM) Availability of data (dialogue is unlike MT)? Learning to partition the data into structures. Learing the semantic + speech act interpretation of inputs alone has now reached a (low) ceiling (75%). Young’s strategy not like Jelinek’s MT strategy of 1989!:  Young’s strategy not like Jelinek’s MT strategy of 1989! Which was non/anti-linguistic with no intermediate representations hypothesised Young assumes rougly the same intermediate objects as we do but in very simplified forms. The aim to to obtain training data for all of them so the whole process becomes a single throughput Markov model. There are now four not two competing approaches to machine dialogue::  There are now four not two competing approaches to machine dialogue: Logic-based systems with reasoning (Old and still unvalidated by performance) Extensions of speech engineering methods, machine learning and no structure (New) Simple handcoded finite state systems in VoiceXML (Chatbots and commercial systems) Rational hybrids based on structure and machine learning. The Companions: a new economic and social goal for dialogue systems:  The Companions: a new economic and social goal for dialogue systems An idea for integrating the dialogue research agenda in a new style of application...:  An idea for integrating the dialogue research agenda in a new style of application... That meets social and economic needs That is not simply a product but everyone will want one if it succeeds That cannot be done now but could in six years by a series of staged prototypes That modularises easily for large project management, and whose modules cover the research issues. Whose speech and language technology components are now basically available Intelligent and sociable Companions: more than a furry handbag:  Intelligent and sociable Companions: more than a furry handbag The SeniorCompanion The EU will have more and more old people who find technological life hard to handle esp. the Internet The SC will know you and what you like and don’t It is a persistent and personal social agent interfacing with Semantic Web agents It will store and maintain the user’s digital content on the Internet. It could represent old people as their agents It could debrief an elderly user about events and memories in their lives, and help them organize their memories It will also chat, divert, remember appointments and help with TV programs Other COMPANIONS:  Other COMPANIONS The JuniorCompanion Teaches and advises, maybe from a backpack Warns of dangerous situations Helps with homework and web search Helps with languages Always knows where the child is Explains ambient signals and information It’s what e-learning might really mean! The Senior Companion is a major technical and social challenge:  The Senior Companion is a major technical and social challenge It could represent old people as their agents and help in difficult situations e.g. with landlords, or guess when to summon human assistance It could debrief an elderly user about events and memories in their lives It could aid them to organise their life-memories (this is now hard!)(see Lifelog and Memories for Life) It would be a repository for relatives later Has « Loebner chat aspects » as well as information--it is to divert, like a pet, not just inform It is a persistent and personal social agent interfacing with Semantic Web agents Other issues for Companions we can hardly begin to formulate::  Other issues for Companions we can hardly begin to formulate: Companion identity as an issue that can be settled many ways--- like that of the owner--web identity now a hot issue? Responsibilities of Companion agents--who to? Communications between agents and our access to them Are simulations of emotional behaviour or politeness desirable in a Companion? Protection of the vulnerable (young and old here) What happens to your Companion when you are gone? Companions and the Web:  Companions and the Web A new kind of agent as the answer to a passive web The web/internet must become more personal to be tractable, as it gets bigger (and more structured or unstructured?) Personal agents will need to be autonomous and trusted (like space craft on missions) But also personal and persistent, particularly for large sections of populations now largely excluded from the web. The semantic web is a start to structure the web for comprehension and activity, but web agents are currently abstract and transitory. The old are a good group to start with (growing and with funds). The technologies for a Companion are all there already:  The technologies for a Companion are all there already Remember Tamagochi? Quite intelligent people rushed home to feed one (and later Furby) even though they knew it was a simple empty mechnaism. And Tamaogochi could not even talk! People with pets live longer. Wouldn’t you like a warm pet to remind you what happened in the last episode of Coronation Street? OK, but perhaps millions of your compatriots would?!

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