Mind RACES from Reactive to Anticipatory Cognitive Embodied Systems Our Objectives The general goal of Mind RACES is to investigate different anticipatory.

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Mind RACES from Reactive to Anticipatory Cognitive Embodied Systems Our Objectives The general goal of Mind RACES is to investigate different anticipatory cognitive mechanisms and architectures in order to: 1.build Cognitive Systems endowed with the ability to predict the outcome of their actions, 2.build a model of future events, 3.control their perception anticipating future stimuli and 4.emotionally react to possible future scenarios The above general goal will be achieved by: 1.incorporating anticipatory functionalities into existing cognitive models; 2.improving anticipatory functionalities of existing cognitive models; 3.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 (1) Preparatory Work Analysis of Anticipatory Mechanisms: critical comparison of existing models and architectures, improvement of the state of the art. Scenarios Design and Implementation: common scenarios have been considered as a means to understand how the anticipatory capabilities in cognitive systems are necessary to solve specific tasks or are needed to improve performance; on the other hand, the scenarios represent the way to compare, evaluate and integrate different anticipatory approaches, functions, mechanisms. (2) Three Parallel Thematic Workpackages The work in Attention, Monitoring and Control covered all the situations where a cognitive system selectively perceives and attends to its environment to improve the knowledge on its state. The work in Goal-directed behaviour, Pro-activity and Analogy covered all situations where an agent uses models of the world that take into consideration the consequences of its own action, that is models of the world that predict the future state of the world on the basis of current state and the planned action. The work in Anticipatory Emotions has been devoted to the identification of all the different relationships between anticipation and emotions, or better, between anticipatory behaviours or representations and mechanisms, and emotional responses. (3) Integration The integration of different approaches and mechanisms concerning different cognitive functions sets represents the major achievement of the project and its final phase. One ambitious goal of the project is to show that only architectures with anticipatory mechanisms are well suited to perform and adapt in complex, real life scenarios. With this regard, the project tenet is that only integrated mechanisms concerning different cognitive functions sets are able to fulfil some complex cognitive tasks. 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) 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 model’s 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 FP Contact: Rino Falcone (Coordinator) Institute of Cognitive Sciences and Technologies - CNR Via S. Martino della Battaglia, 44 – Rome, Italy 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) The scenario Finding and Looking for includes search, optimization of the search (rejecting unlikely cases), recognition and report for the object found. The scenario Anticipation in a Dynamic World involves prediction of objects that are characterized by an intrinsic dynamics. 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 thief’s aim is to find and pick them all. 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 2D Environment Robot Lab Analogical Prediction Office Room Fish Catching Game Marble Run Game Guard vs. Thief A Domotic Environment 3D Model Workpackages and their interactions