LIACC Strategic Project (FCT funded for 2011-2013)
- This strategic Project aimed at helping on supporting LIACC Research Unit for 2011-2012. The project was then extended to 2013.
LIACC, Laboratory of Artificial
Intelligence and Computer Science at the U. of Porto, exists since 1988
and includes 20 PhDs plus about 20 other members belonging to two
research groups (Computer Science-CS, and Distributed Artificial
Intelligence & Robotics-DAI&R) mainly residing in the Faculty
of Sciences (FCUP) and the Faculty of Engineering (FEUP). Although none
of the researchers holding a PhD is doing research in full-time, since
they are also heavily involved in lecturing (8 to 12 hours/week), our
commitment to research is unquestionable.
DAI&R, mainly located at the FEUP, directs its R&D efforts both towards software models and prototype implementations as
relevant proof of concepts. CS, FCUP group, is devoted, though not exclusively, to more theoretical research.
DAIAS (former DAI&R) Group:
Main Research Topics
- Agreement Technologies
and task allocation have been in the multi-agent systems realm since
its inception as a research field. More recently, social aspects of
agenthood have received increasing attention, namely developing on the
fields of normative and trust systems. Taking a broad perspective, an
agreement can in this context be a solution obtained using a
distributed cooperative problem solving approach. Therefore, a wide
range of problems can be tackled. Research in this issue efforts on
three main agreement technology concepts, namely negotiation, normative
environments and computational trust.
- Previous work in this issue was related to the Electronic
Institution concept, namely in agent-based B2B operations, that included
the study and development of an Electronic
Institution for safe and trustable agent-based business operations.
Research was done in the development of appropriate models for B2B
Negotiation and Monitoring processes as well as to provide platforms,
tools and frameworks enabling Agents’ interoperability in the
context of Virtual Enterprises Life Cycle.
Learning and Emotions
intelligent processes mostly rely on learning capabilities and
sophisticated architectures. Through this research line we aim at
studying both agent and multi-agent learning on one hand, and
emotion-like features driven architectures, on the other hand.
Extraction and Intelligent Text Mining
research on Text Mining is done in close collaboration with UP-SAPO Labs.
several topics have been pursued and include, among others:
Extraction from Text
These topics, always mainly tuned for the Portuguese
language, are addressed through methods that explore text data repositories
like electronic news, blogs, music and tweets.
Machine” (“A Máquina do Tempo”) is
a product in progress that results from the combined outcomes of several
previous projects like Verbatim, Verbetes and "O Mundo Visto Daqui". A brief explanation on this line of research can be seen here.
Dots between the News"(Report
in Portuguese). This work aims at defining and evaluating
different techniques to automatically build temporal news sequences.
The approach proposed is composed by three steps: (i) near duplicate
documents detention; (ii) keywords extraction; (iii) news sequences
creation. This approach is based on: Natural Language Processing,
Information Extraction, Name Entity Recognition and supervised
learning algorithms. The proposed methodology got a precision of
93.1% for news chains sequences creation.
we also aim at applying agent and multi-agent architectures,
negotiation protocols and learning algorithms to specific application
teams’ Coordination and Simulation (now under the new LIACC group HMIC)
teams of autonomous (or semi-autonomous) agents that perform in rich,
dynamic, both cooperative and adversarial environments is a major aim
of this work line. For this objective, we are exploring several
research directions that can be seen as complementary: new coordination
protocols; methodologies for analyzing team behavior; implementation of
agent-based common framework suitable for controlling teams of
cooperative robots for robosoccer; design of realistic multi-agent
simulators (Coastal Ecosystems Simulator); generalizating these methods
to other domains.
- ABSES: Agent Based Simulation of Ecological Systems
Adaptative Coordination of Robotic Teams (FCT/PTDC/EIA/70695/2006)
- Control Strategies: Control Strategies Characterization for Heterogeneous
Multi-Agent Systems (4.1.3/CAPES/GRICES)
Institution: Trust-aware Automatic E-Contract Negotiation in
Agent-based Adaptive Normative Environments (PTDC/EIA-EIA/104420/2008)
- FCP RESCUE: Coordination of Heterogeneous Teams in Search and
Rescue Scenarios (FCT/POSC/EIA/63240/2004)
Multi-Agent System for Disruption Management