LIACC - March 2004 1 istributed Artificial Intelligence & Robotics Group NIAD&R • NIAD&R is a member of LIACC Artificial Intelligence and Computer Science Laboratory University of Porto Overview of NIAD&R Coordinator: Eugénio Oliveira http://www.fe.up.pt/~eol/MEMBERS/eco_html
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NIAD&R is a member of LIACC Artificial Intelligence and Computer Science Laboratory
NIAD&R is a member of LIACC Artificial Intelligence and Computer Science Laboratory University of Porto Overview of NIAD&R Coordinator: Eugénio Oliveira http://www.fe.up.pt/~eol/MEMBERS/eco_html. OUTLINE. LIACC overview NIAD&R main Goals NIAD&R through Numbers. - PowerPoint PPT Presentation
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LIACC - March 2004 1
Distributed Artificial Intelligence & Robotics Group
NIAD&R
• NIAD&R is a member of LIACC Artificial Intelligence and Computer Science Laboratory
University of Porto
Overview of NIAD&R
Coordinator: Eugénio Oliveira
http://www.fe.up.pt/~eol/MEMBERS/eco_html
LIACC - March 2004 2
Distributed Artificial Intelligence & Robotics Group
NIAD&R
LIACC overview NIAD&R main Goals NIAD&R through Numbers
OUTLINE
Main research lines 1 Models for Agents’ interaction 2 Advanced features for Autonomous Agents 3 Coordination of Agent-based teamwork 4 Agent-based Applications
Projects Conclusions Future work
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Distributed Artificial Intelligence & Robotics Group
NIAD&R
University of Porto
NCCF. Sciences
NIAADF. Economics
NIAD&RF. Engineering
ScientificBoard
Advisory Committee
Coordination Board
general coordinator
~50%
~23%
~27%
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Distributed Artificial Intelligence & Robotics Group
NIAD&R
Existe desde 1988.
No fim de 2003 incluía:34 pessoas com
doutoramento,40 outros membros
(estudantes de doutoramento, bolseiros, etc.)
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Distributed Artificial Intelligence & Robotics Group
NIAD&R
Nos últimos 5 anos (‘99 – ‘03) foram publicados:
• 30 artigos publicados em Revistas Internacionais submetidos a avaliação independente (13 em 2003);
• 105 artigos em livros publicados pelas editoras reconhecidas (ex. Springer), submetidos a avaliação independente, e com entrada no “Science citation index”
• 1 livro (editado);• 16 capitulos de livros;• 133 outros artigos in actas de Congressos / Workshops • 9 actas de congressos ou Workshops editadas;
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(’99 - ‘03) foram orientadas e concluídas:• 18 Teses de Doutoramento,• 34 Teses de Mestrado.
•Em 2004 estão a ser orientadas:• 21 Teses de Doutoramento,• 37 Teses de Mestrado.
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Distributed Artificial Intelligence & Robotics Group
NIAD&R
Nos últimos 5 anos (’99 - ‘03) foram organizados:• 19 congressos / workshops
Em 2003 os membros do LIACC participaram em:• 22 comissões de programa• 6 editorial boards de revistas
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NIAD&R
NCC: - Declarative programming Logic Programming Systems Parallel Execution of Logic Programs Constraint Programming
- Parallel and Distributed Systems Concurrency, Distribution and Mobility OO Languages for Distributed Environments Parallel Programming Environments
- Logic, Language and Computation Formal Systems; Logic and Grammars Complexity
- Automatic Evaluation of Students Exercises - Geo-Referenced Data Processing
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NIAD&R
NIAAD: Data Mining and Decision Support Collaborative methodologies for DM & DS. Recommendation tools for the selection of DA methods Modeling Dynamic Systems
Modelling complex dynamic systems,
Advanced Techniques in Data Mining and DAModelling higher order concepts using ILPStatistical methods for classification. App. to the recognition of multi-spectral images and bioinformatics.
Data Mining for Text and Web
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NIAD&R
To develop:
Models for inter-operability in Agent-based Systems
Agent-based Software for practical Applications in DDD
To help young researchers in preparing their thesis
NIAD&R Main Objectives:
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AGENTS : Computational entities including the following features:
Main Concept:
Distributed Reactive and Communicative Pro-Active Autonomous
Other capabilities: Mentalistic capabilities:
Beliefs, Desires, Intentions, Emotions
Multi-Agent Systems
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What is the rationale behind our research?
Agents Interaction
Negotiation protocolsCoordination of teams of AgentsConflict resolution
Agent Capabilities
Learning and Adaptation
Emotion-based agent architecture
Agent Applications
Electronic Institutions for VOMultiple-Experts DSSSimulation
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1999 2000 2001 2002 2003
Senior Res. 1 1 1 1 1PhDs 1 2 2+1-1 4 4
Res.Ass. 5 6 8-1 13 13Ext.Coll. 2 2 2 3 3TOTAL 9 12 11 20 21Tech. _ _ _ _ _Adm. ½ ½ ½ (shared) ½ (shared) ½ (shared)
Nr. of Researchers
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Distributed Artificial Intelligence & Robotics Group
NIAD&R
“Emotion-based“ agent architectures: based on neuro-science (cognition-emotion relationship)“How to escape from traditional utility-based functions”? Agents new features: valence-based memory,
<V,I,E,G> associating Valence with Goals and both internal and external sources
Relationships between “emotion-like parameters”Luis Sarmento + Daniel Moura+ECO
available
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Luis Sarmento + Daniel Moura+ECO
The Emotional Mechanism
• Emotional Elicitation– Process of evaluating the chances (V) of achieving a given
goal (G) upon the state of the environment (<E>) and the agent internal state (<I>).
V = EEFG(<E>,<I>)
• Emotion Accumulators– Enable to model emotions behavior through time (t);– Consumes a percentage (PInput) of an EEFG;– Value decays according to a decay constant (Td).
EAG(t,PInput ,Td)
• Basic Emotional Mechanism
EEFG(<E>,<I>) EAG(t,PInput ,Td)
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3. Coordination of Agent-based teams
Coordination policies in adversarial environments
Main Research lines:
LIACC - March 2004 32
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NIAD&R
COACH UNILANG: general language to enable a special agent ("coach") to supervise a team of co-operative robots.
agent-based common framework suitable for controlling teams of cooperative robots (either physical or simulated)
Techniques: distinction between active and strategic situations
Agents Coordination mechanisms: Situation-basedSP, DPRExchange, ADVCOM, SLM, MM.
New team strategies (tactics, formations, player types…)
Luis Paulo Reis
available
3. Coordination of Agent-based teams
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Flexible Strategies
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Constraint Satisfaction in a distributed
environment: UNIPS - University Planning and Scheduling
to reach mutual agreement in distributed multi-agent system applications
UniLang: language for representing timetabling problems
Luis Paulo Reis
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4. Application oriented: Proof of “intelligent agent” concept in
specific application domains: Elec. Market, Mob.Comm.Networks,
Brokering, 3D Visualisation, Traffic Control management…
Main Research lines:
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Intelligent Brokering for the Insurance domain (BeeGent) –LNogueira
ILP for Time Series Analysis. Optimal traffic control in multi-class packet switched networks –Alex Alves
MAS platform for Electrical Energy e-Market - JLPinto Agent-based framework making available security mechanisms and negotiation algorithms tuned for this EE-market
4. Application oriented work:
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2-BIAS (Brokerage in Insurance – an Agent-based System)
Customerscommunities
Stereotypes
Negotiation
Ontology
Broker
CA
IA
IA
IA
Customer description and
needs
Product proposalsInteraction on
user’s behalf
Qualitative feedbackPersonalised
offers
...
Luis Nogueira+ECOavailable
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Traffic Engineering of Data CommunicationsNetwork
–To assess the adequacy of ILP for Time Series Analysis automation
Distributed Artificial Intelligence & Robotics Group
NIAD&R
Agent-based Robotics control:
Finish
ed
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Projects (1999-2001) AVOEC: Agent-based platform for VE formation and B2B EC funding:FCT+FEDER finished 2001
MACIV:Multi-Agent System for Distributed resource management funding:FCT+FEDER finished 2000
AgentLink I (98-00) AMEC SIG finished 2000AgentLink II (00-02) AMEC +ALAD SIGs
funding: European UnionFINESSE: Formalisation of Institutions and Norms for Electronic Social Structures for Exchange submitted Inter-Network (EUNET, ILPNET, AgentLinkII) SIG on "Agents that Learn, Adapt and Discover funding:E.U.
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Projects (2002-2004) LEMAS: Learning in MASystems in the RoboCup SLLeague
Funding: FCT+FEDER(03-04) FCPortugal: New Coordination Methodologies applied to the Simulation League Funding: FCT+FEDER(03-04) AgentLink III AMEC +ALAD SIGs Funding: European U. (03-)
PORTUS: A common framework for cooperation in Mobile Robotics Funding: FCT+FEDER(02-05)
OPEN: Open Platform for Enterprise Network – submitted to E.U.
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International links Member of the Editorial Board of the AAMAS Journal ed. Kluwer AP, (EO) Member of the European Board of IOS Press and Omsha Ltd “Frontiers in AI and Applications” Series for European dissertations (EO) Member of Technical Committee of the RoboCup Simulation League (LPR) Exchange of students+researchers under Socrates Program (U.Trier/G, Imperial College/UK, City College/UK, ENM SaintEtienne/Fr) Research Evaluation at Univ. J.Fourrier-Grenoble/Fr “Coordination and Cooperation” in MAS Robo Cup-SIG
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International links
DFKI-Germany (KlausFisher, Mathias Klush)Imperial College/Univ.London (A.Mamdani)Czech Technical University (V.Marik, O.Stepankova)U.Southampton (N.Jennings, M.Luck)Lab. Leibnitz- IMAG (Dr. Y.Demazeau)Univ. Utrecht (F.Dignum)Université de Technologie de Compiègne (J.P.Barthés)École National des Mines Saint-Etienne (O.Boissier) Institut Inteligencia Artificial, Barcelona (C.Sierra)QMWC/U.London (N.Jennings)
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International links
Univ. São Paulo (J.Sichman)Pontifícia Univ. Católica Paraná (M.Schmeil)Univ. Bath (J.Padget)Univ. Federal Rio Grande do Sul (A.Bazzan)Univ. of Trier/Germany (N.Kuhn)Xerox Research Centre in Europe, (J.M.Andreolli)Achmea, Netherlands (V.Dignum)
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National links
ISR Porto (Dr.A.PMoreira, Dr. P.Costa) CEMAS-C.Modelação e Análise Sistemas Ambientais (Prof. P.Duarte) I2S- Integrated Systems Software Company(A.Lhamas) Guião (J.A.Alves) Mota&Companhia (Civil Construction) Univ. Beira Interior (DrªP.Prata)
Faculdade de Ciências Univ. Lisboa (Prof.H.Coelho) Instituto Superior Técnico, U.T.Lisboa (Drª. A.Paiva) FCT- Univ. Nova de Lisboa (Prof. A.Garção) IEETA- Univ. Aveiro (Dr. L.Seabra Lopes, Dr. N.Lau) INESCPorto (Prof.M.Matos)
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Difficult to keep fruitful links with industry Not enough publications in Journals Robotics not enough attractive for software people
EI and Agent-based Negotiation for EC and VO Sophisticated prototypes have been released Good results in competitions by using agent-based team coordination New research directions like “emotion-based” agentsand MAS Learning
Weak points:
“Strong” points:
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Future Directions:
More efforts on the Applications: Adaptive Negotiation Electricity e-Market Simulation Tool for fire-combat training Application of EI to a real-life domain
More efforts on: Multi-agent Learning Emotion-like Agents Architectures General framework for Electronic Institutions includingOntology related Services and Electronic Contracts
To keep a fair balance between Research and Applications