eurika06

Brain Amplifier for Holistic Knowledge Management using New Generation of AI : 

Brain Amplifier for Holistic Knowledge Management using New Generation of AI Dr. Eunika MERCIER-LAURENT VP AFIA MODEME UMR 5055- Research Center IAE Université Lyon 3, France ECCAI ASTI

Slide2: 

~3000BC first known expert system 13th C Ramón Lull invented the Zairja, the first device that systematically tried to generate ideas by mechanical means 17th first computer Pascal and Leibnitz 1921 robot (Karel Capek) 1945 ENIAC Electronic Numerical Integrator and Calculator 1945 – 1956 cybernetics, neural nets – learning (Hoebbs) 1950 Turing test to measure machine intelligence 1956 Logic theorist first AI pg A. Newell, H. Simon and JC Shaw 1956 AI was born, the founders was supposed to understand human intelligence and ready to put it into machine Checkers-playing pg, GPS, NL (Chomsky), perceptron, Dendral, automatic translation… 1970 machine learning, Prolog 1975 XCON first commercial expert system, speech recognition 1980 first commercial tools, beginning of industrial expert systems, fuzzy logic, genetic algorithms 1985 constraint programming 1990 CBR, conceptual knowledge modeling, ontology… AI was born from dreams It is still what we need to innovate More on http://www.crl.ucsd.edu/~elman/Courses/cog202/Papers/ai-history.html and on http://emlkmi.free.fr/tiki-index.php?page=HistoireIa

AI in France: 

AI in France Prof. Jacques Pitrat, Paris 6 Natural language processing: Prolog Marseille 1970, automatic translation, NL interface to DB INRIA NL fuzzy information retrieval from DB (80) workstation for collaborative work with AI inside (81) Groupe Bull : Research Center 1981 (NL to DB, KOOL, Prolog) ECRC 1984 (constraint prog, Prolog machine, deductive DB CEDIAG 1985 : KOOL, Charme, KADS, EDEN, applications Global approach (91), Organizational Memory, ontology 1994 ECCAI 82, AFIA 89, IJCAI 93,141 research teams, 37 AI comp Ilog, Cosytec, Kaidara… Conferences RFIA (since1980) & Plate-forme (since 1999) including applications AI in national and European Programs

CEDIAG main applications: 

CEDIAG main applications ALPIN Expert system for Medical insurance with natural language module for automatic processing of medical reports; NOEMIE Configuration system for Bull computers Diagnosis and help desk for customer support, KRONES configuration support system and diagnosis for bottle-washing engines Danish Customs’ decision support system for interpretation of ECC regulations. A similar system was later developed for Argentina Customs. ARAMIS-GM French national Guards Missions planning system (resource allocation, crisis situation management). The first hybrid system was composed of database natural language retrieval, expert system and constraint programming techniques. RAMSES Security of the Winter Olympic games Albertville 1992, in which we have reused our experience from ARAMIS-GM development. SACHEM, decision support system for blast furnaces, the largest European AI application for Sollac (Groupe Arcelor). Knowledge acquisition from telemetric data for Formule1 racing cars, reusing prior experience. Computer network diagnosis, Optimized keys designing, Scheduling, time-tables for colleges, universities and engineering schools, Planning and resources allocation for orange picking and optimizing juice production….

What we learnt ? : 

What we learnt ? Knowledge is relative to human Human is complex Human have to deal with complex systems

Context of AI since 1996: 

Context of AI since 1996 Name : AI or computational intelligence ? AI promised to much ? AI inside is not AI ? Decision support systems for technical and medical diagnosis, help desk, maintenance, scheduling, optimization, risk analysis, process control, traffic control design, advisory systems, software.. Solutions are mainly software, we can do better

Opportunity for AI: 

Opportunity for AI Internet : Information overload, lot of data e-services, e-business, e-learning, e-government, m-ware, content design and search …without AI, Knowledge Management is about Knowledge ! (k transfert, sharing, finding, learning, innovation) lack of feedback from AI applications and ..reinventing the wheel Mondialization : complex problem to solve, cultures, access to collective K, RT translation ICT : What is missing ? I AI = different thinking

AI Today: 

AI Today Integration of existing techniques (but nothing really new since 20 years) Knowledge Discovery from multimedia documents Semantic web (ontology, NLP, MAS, ANN) Collective intelligence for MAS Artificial life (understanding brain is to difficult ?) Hybrid solutions (soft) for complex problems (text mining, automatic indexing and retrieval..) Intuitive HMI Computer graphics, VR, immersion, simulation Co-design Classic and AI

Slide9: 

New generation of AI (symbolic and robotics)

Slide10: 

Future of AI Welcome to my dreams

Some inspirations : 

Some inspirations Leonardo da Vinci, Jules Verne, Isaac Asimow, Lew Bobrow, Stanislaw Lem… AI, Minority report, Star Wars More human robot ? Johny 5 from Short Circuit More powerful human ? Extension of biological capability as Jake Foley…

Slide12: 

Five Generations of Management Styles Adapted from Innovation Strategy for The Knowledge Economy Debra M. Amidon 1997 BH 1st Technology as the Asset 2nd Project as the Asset 3rd Enterprise as the Asset 4th Customer as the Asset 5th Knowledge as the Asset Customer Retention Customer Satisfaction Customer Success

Slide13: 

Technology replaced person-to-person interactions with person-to-machine… Technology requires the synergy of individuals, machines and social organizations and depends profoundly both on an understanding of nature - on science - and on the capability to design. Virtually every human activity - agriculture, commerce, education, health care, warfare, industry and more - depends directly or indirectly on our interactions as individuals with society and machines. George Bugliarello

My vision: 

My vision In my vision, connected human knowledge cultivators work in perfect synergy with the artificial knowledge processors. They learn from each other. Computers help people by performing the tasks difficult or impossible for human to do… in the world where the biological, social and machine components are well balanced, are sustainable indefinitely without destroying the environment, and enhance the human condition.

Slide15: 

Aibo What kind of machines ?

Slide16: 

Innovate for what ?

Slide17: 

Needs Safety of persons and systems (cryptography, identity management, intrusion detection, security at home, security of Information Systems) Health, k of our body and k about how to care it, human « spare parts » Sustainability Agriculture (ancestral knowledge rediscovering instead of inventing new pesticides and artificial fertilizers) RICH Intelligent services on line FAQ… social (loneliness, handicapped, unemployed), H & C Learning (3W access to K), interactive, with RV, collaborative learning by playing… Imagination training, interactive games, influence on (bad) comportment ? Intelligent car intelligent house ? management of vital functions, recognition of visitors, spare of water and energy, household appliances, equipment for handicaps.. Problems and needs Today problems are complex challenge : find balanced solution

Holistic Knowledge Management: 

Holistic Knowledge Management An integrated system of initiatives, methods and tools designed to create the optimal flow of knowledge within and throughout an extended enterprise to ensure stakeholders success Debra M. AMIDON ENTOVATION International Eunika MERCIER-LAURENT 3D of KM : Technology, Economy, Social/Culture

Holistic Perspective: 

Holistic Perspective

3 levels of needs: 

3 levels of needs Individual – machine as an amplifier of human capacity and intelligence Organizational Society

Individual level: 

Individual level Intelligent assistant able to Find relevant information and knowledge on demand and push Understand documents/emails, make un abstract Manage my documents, files, emails using my logic NL dialog and capability of RT translation Optimize tasks (travel, shopping, event..) access and intelligent navigation in the world knowledge bases (scientific, music, sport,) Recognize visitors, automatic vacuum cleaner, advice… Tell me a joke when I am sad..

Entreprise/Organizational level: 

Entreprise/Organizational level The same capacity as for individual + Effective management of innovation process Computers are considered as a source of K Sharing the learned knowledge relevant to a given point-of-view with relevant people Effective management of intellectual capital, “who knows what, who needs to know what, and how to learn what is needed” Support for “business intelligence”: finding and checking relevant information

Entreprise/Organizational level: 

Entreprise/Organizational level Patent browsing for similarity determination Automated tools for pattern discovery and knowledge acquisition both at the individual and collective levels Tool for building collective experience of the company Decision support for all professionals : diagnostic, configuration, problem solving, process control… Management of global security

Society: 

Society Intelligent e-services (administration, tourism, RT education, call centers…) Intelligent connections between enterprises, university and investors 3P Entertainment closer to the life (intelligent games, travel guides and tips, VR visit of monuments with interaction (touch, smell…) Intelligent banking services Bank of knowledge and experience (health…) Services for older people Health services

Challenges for AI : 

Challenges for AI Better understanding of our brain capacity Better use of computer capacity (K thinking approach) More collective, multi-domain and multi-cultural intelligence (1+1=11) instead of competition Intuitive software HM natural communication RT translation

Challenges for AI: 

Challenges for AI The Convergence of bio- info- and nano-techniques (human spare parts) ? Extension of biological capabilities ? Global Innovation Support Systems New ways for communication Better conservation and use of past knowledge and experience Contribution to the Sustainable Knowledge Society More of fun

Share our dreams, lets work our imagination andInnovate our future together…: 

Share our dreams, lets work our imagination and Innovate our future together… 谢谢！