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Mind RACES

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Title: Mind RACES


1


Mind RACES from Reactive to Anticipatory
Cognitive Embodied Systems
An anticipatory system is a system containing a
predictive model of itself and/or of its
environment that allows it to change state at an
instant in accord with the models predictions
pertaining to a later instant (Robert
Rosen) Prediction is a representation that a
particular event will occur in the
future Anticipation is a future-oriented action
or decision or behavior based on a (implicit or
explicit) prediction
www.mindraces.org FP6-511931 Contact Rino
Falcone (Coordinator) Institute of Cognitive
Sciences and Technologies - CNR Via S. Martino
della Battaglia, 44 00185 Rome, Italy Email
rino.falcone_at_istc.cnr.it
  • Our Objectives
  • The general goal of Mind RACES is to investigate
    different anticipatory cognitive mechanisms and
    architectures in order to
  • build Cognitive Systems endowed with the ability
    to predict the outcome of their actions,
  • build a model of future events,
  • control their perception anticipating future
    stimuli and
  • emotionally react to possible future scenarios
  •  
  • The above general goal will be achieved by
  • incorporating anticipatory functionalities into
    existing cognitive models
  • improving anticipatory functionalities of
    existing cognitive models
  • integrating different anticipatory
    functionalities of cognitive models.
  •  
  • More specifically, four different phases have
    been identified in the project
  • (1) identification of typologies of problems
    which require different anticipatory cognitive
    capabilities (Attention, Monitoring and Control
    Goal-directed behaviour, Pro-activity and
    Analogy Anticipatory Emotions) this allow to
    design and implement different appropriate
    scenarios.
  • (2) improvement of existing anticipatory
    architectures and incorporating missing
    anticipatory functionalities in them. The
    performances of these architectures will be
    tested in the scenarios.
  • (3) comparison, in the same scenarios (in order
    to evaluate relative strengths and weaknesses) of
    anticipatory architectures implemented from
    different theoretical backgrounds. In this phase
    we have the opportunity of evaluating if the
    translation of some mechanisms in other
    implementations shows a different performance or
    if it leads to new side effects (that we can
    possibly exploit). This approach privileges (as
    in all the project) the cognitive function set
    over the concrete implementation and will give a
    relevant contribute to the theoretical foundation
    of the mechanisms, extracting the conceptual core
    from the constraints of the single
    implementations.
  • (4) design, implementation and testing, in the
    scenarios, of the cognitive architectures that
    integrate different kind of anticipatory
    mechanisms.
  • The Structure of the Project

The Consortium ISTC-CNR Institute of Cognitive
Sciences and Technologies of the National
Research Council (Italy) IDSIA - Istituto Dalle
Molle di Studi sull'Intelligenza Artificiale -
Scuola Universitaria Professionale della Svizzera
Italiana (Switzerland) IST - Instituto Superior
Técnico (Portugal) LUCS - Lunds Universitet
(Sweden) NBU - New Bulgarian University
(Bulgaria) NOZE - Noze s.r.l. (Italy) OFAI -
Oesterreichische Studiengesellschaft Fuer
Kybernetik (Austria) UW-COGSCI - Bayerische
Julius-Maximilians Universitaet Wuerzburg
(Germany)
  • Our Expertise
  • - Psychology of Action (ISTC-CNR, UW-COGSCI)
  • - Experimental Psychology (NBU)
  • Situated and Evolutionary Robotics (ISTC-CNR,
    LUCS, IDSIA-SUPSI, OFAI)
  • - Artificial Intelligence and Cognitive Modelling
    (OFAI, ITSC-CNR, NBU)
  • - Mathematics and Adaptive Robotics (IDSIA-SUPSI)
  • - Affective Computing and Human Computer
    Interaction (IST)

www.mindraces.org
Workpackages and their interactions
  • The Three Scenarios
  • The scenarios highlight the role of anticipation
    in
  • Perception and categorization
  • Selective attention
  • Deliberation
  • Action monitoring and control
  • Skill learning and routinization
  • Coordination
  • Emotions

The scenario Finding and Looking for includes
search, optimization of the search (rejecting
unlikely cases), recognition and report for the
object found.
In the scenario Guards and Thieves robots or
agents can have two different roles (guards or
thieves). Some objects are considered to be
valuable and the thiefs aim is to find and pick
them all.
The scenario Anticipation in a Dynamic World
involves prediction of objects that are
characterized by an intrinsic dynamics.
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