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I am a researcher at the Institute of Cognitive Sciences and Technologies, CNR, in Rome. You can look at my publications, or at my curriculum vitae, or contact me: giovanni.pezzulo(AT)istc.cnr.it
I got a degree in Philosophy of Science and a PhD in Cognitive Psychology. My interests are both theoretical and computational, with several topics: anticipation and anticipatory behavior (in the framework of the EU funded project MindRACES); cognitive architectures (trying to bridge sensorimotor interaction with high-level cognitive capabilities such as practical reasoning); goal-oriented behavior; representations (theoretical and computational models); motivations (and their roles in determining behavior); decision making (theoretical and computational models, some experimental work).
Sunday 21 October 2012
Friday 13 April 2007
The Symbol Detachment Problem
This is a theoretical paper about the emergence of representations.
How and why do situated agents develop representations that are detached from their current sensorimotor interaction, but nevertheless preserve grounding and aboutness? How do cognitive agents progressively acquire a range of capabilities permitting them to deal not only with the current situation but also with alternative, in particular future states of affairs? How do they develop the capability of acting on their representations instead of acting directly on the world? In a theoretical and developmental perspective, we propose that anticipation plays a crucial role in the detachment process: anticipatory representations, originally detached from the sensorimotor cycle for the sake of action control, are successively exapted for bootstrapping increasingly complex cognitive capabilities.
Pezzulo, G. & Castelfranchi, C. The Symbol Detachment ProblemCognitive Processing, 2007, 8 (2). Online: http://dx.doi.org/10.1007/s10339-007-0164-0
How and why do situated agents develop representations that are detached from their current sensorimotor interaction, but nevertheless preserve grounding and aboutness? How do cognitive agents progressively acquire a range of capabilities permitting them to deal not only with the current situation but also with alternative, in particular future states of affairs? How do they develop the capability of acting on their representations instead of acting directly on the world? In a theoretical and developmental perspective, we propose that anticipation plays a crucial role in the detachment process: anticipatory representations, originally detached from the sensorimotor cycle for the sake of action control, are successively exapted for bootstrapping increasingly complex cognitive capabilities.
Pezzulo, G. & Castelfranchi, C. The Symbol Detachment ProblemCognitive Processing, 2007, 8 (2). Online: http://dx.doi.org/10.1007/s10339-007-0164-0
Schema-based design and the AKIRA Schema Library
This is a gentle introduction to schema-based design.
Abstract. We present a theoretical analysis of schema-based design (SBD), a methodology for designing autonomous agents architectures. We also provide an overview of the AKIRA Schema Language (AKSL), which permits to design schema-based architectures for anticipatory behavior experiments and simulations. Several simulations using AKSL are reviewed, highlighting the relations between pragmatic and epistemic aspects of behavior. Anticipation is crucial in realizing several functionalities with AKSL, such as selecting actions, orienting attention, categorizing and grounding declarative knowledge.
Pezzulo, G. & Calvi. Schema-based design and the AKIRA Schema Language: An Overview. In G.Butz, M.; Sigaud, O.; Pezzulo, G. & Baldassarre, G. (ed.) Anticipatory Behavior in Adaptive Learning Systems: Advances in Anticipatory Processing, Springer LNAI 4520, 2007
Abstract. We present a theoretical analysis of schema-based design (SBD), a methodology for designing autonomous agents architectures. We also provide an overview of the AKIRA Schema Language (AKSL), which permits to design schema-based architectures for anticipatory behavior experiments and simulations. Several simulations using AKSL are reviewed, highlighting the relations between pragmatic and epistemic aspects of behavior. Anticipation is crucial in realizing several functionalities with AKSL, such as selecting actions, orienting attention, categorizing and grounding declarative knowledge.
Pezzulo, G. & Calvi. Schema-based design and the AKIRA Schema Language: An Overview. In G.Butz, M.; Sigaud, O.; Pezzulo, G. & Baldassarre, G. (ed.) Anticipatory Behavior in Adaptive Learning Systems: Advances in Anticipatory Processing, Springer LNAI 4520, 2007
Tuesday 6 February 2007
Toward a Perceptual Symbol System
This is my first attempt to simulate some aspects of Barsalou's perceptual symbol system theory.
Abstract: We explore the possibility for a situated system to evolve what Barsalou calls a perceptual symbol system (PSS). We describe the peculiarities of perceptual symbols and point out the main capabilities of organized, multimodal frames of perceptual symbols called simulators. We present a case study in which perceptual symbols and simulators are evolved and exploited for categorization, prediction and abstraction.
Pezzulo, G. & Calvi, G. Toward a Perceptual Symbol System Proceedings of the Sixth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, Lund University Cognitive Science Studies 118, 2006
Abstract: We explore the possibility for a situated system to evolve what Barsalou calls a perceptual symbol system (PSS). We describe the peculiarities of perceptual symbols and point out the main capabilities of organized, multimodal frames of perceptual symbols called simulators. We present a case study in which perceptual symbols and simulators are evolved and exploited for categorization, prediction and abstraction.
Pezzulo, G. & Calvi, G. Toward a Perceptual Symbol System Proceedings of the Sixth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, Lund University Cognitive Science Studies 118, 2006
DiPRA: Distributed Practical Reasoning Architecture
This is my first simulative work describing how to extend a sensorimotor system to include elements of high-level cognition.
Abstract: DiPRA (Distributed Practical Reasoning Architecture) implements the main principles of practical reasoning via the distributed action selection paradigm. We introduce and motivate the underlying theoretical and computational peculiarities of DiPRA and we describe its components, also providing as a case study a guards-and-thieves task.
Pezzulo, G.; Calvi, G. & Castelfranchi, C. DiPRA: Distributed Practical Reasoning Architecture Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, 2007, 1458-1464
Abstract: DiPRA (Distributed Practical Reasoning Architecture) implements the main principles of practical reasoning via the distributed action selection paradigm. We introduce and motivate the underlying theoretical and computational peculiarities of DiPRA and we describe its components, also providing as a case study a guards-and-thieves task.
Pezzulo, G.; Calvi, G. & Castelfranchi, C. DiPRA: Distributed Practical Reasoning Architecture Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, 2007, 1458-1464
Dynamic Computation and Context Effects in the Hybrid Architecture AKIRA
A discussion of the principles of the framework AKIRA, also comparing it with related models such as Hofstadter's Copycat
Abstract: We present AKIRA, an agent-based hybrid architecture designed for cognitive modeling. We describe some of the underlying ideas motivating its development, such as the possibility of exploiting distributed representations and performing parallel, dynamic and context aware computation. We illustrate its main components and capabilities and compare it with some related cognitive architectures, such as DUAL and Copycat. We present also a sample simulation in the visual search domain, exploiting AKIRA’s peculiarities for cognitive modeling.
Pezzulo, G. & Calvi, G. Dynamic Computation and Context Effects in the Hybrid Architecture AKIRA Modeling and Using Context: 5th International and Interdisciplinary Conference CONTEXT 2005, Springer LNAI 3554., 2005, 368-381
Abstract: We present AKIRA, an agent-based hybrid architecture designed for cognitive modeling. We describe some of the underlying ideas motivating its development, such as the possibility of exploiting distributed representations and performing parallel, dynamic and context aware computation. We illustrate its main components and capabilities and compare it with some related cognitive architectures, such as DUAL and Copycat. We present also a sample simulation in the visual search domain, exploiting AKIRA’s peculiarities for cognitive modeling.
Pezzulo, G. & Calvi, G. Dynamic Computation and Context Effects in the Hybrid Architecture AKIRA Modeling and Using Context: 5th International and Interdisciplinary Conference CONTEXT 2005, Springer LNAI 3554., 2005, 368-381
A Schema Based Model of the Praying Mantis
My first simulative work about the integration of a sensorimotor system with a simple motivational system, inspired by ethology
Abstract. We present a schema-based agent architecture which is inspired by an ethological model of the praying mantis. It includes an inner state, perceptual and motor schemas, several routines, a fovea and a motor. We describe the design and implementation of the architecture and we use it for comparing two models: the former uses reactive, stimulus-response schemas; the latter involves also forward models, which are used by the schemas for generating predictions. Our results show an advantage in using anticipatory components inside the schemas.
Pezzulo, G. & Calvi, G. A Schema Based Model of the Praying Mantis LNAI, From animals to animats 9: Proceedings of the Ninth International Conference on Simulation of Adaptive Behaviour, Springer Verlag, 2006, LNAI 4095, 211-223
Abstract. We present a schema-based agent architecture which is inspired by an ethological model of the praying mantis. It includes an inner state, perceptual and motor schemas, several routines, a fovea and a motor. We describe the design and implementation of the architecture and we use it for comparing two models: the former uses reactive, stimulus-response schemas; the latter involves also forward models, which are used by the schemas for generating predictions. Our results show an advantage in using anticipatory components inside the schemas.
Pezzulo, G. & Calvi, G. A Schema Based Model of the Praying Mantis LNAI, From animals to animats 9: Proceedings of the Ninth International Conference on Simulation of Adaptive Behaviour, Springer Verlag, 2006, LNAI 4095, 211-223
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