1,044 research outputs found
Enaction-Based Artificial Intelligence: Toward Coevolution with Humans in the Loop
This article deals with the links between the enaction paradigm and
artificial intelligence. Enaction is considered a metaphor for artificial
intelligence, as a number of the notions which it deals with are deemed
incompatible with the phenomenal field of the virtual. After explaining this
stance, we shall review previous works regarding this issue in terms of
artifical life and robotics. We shall focus on the lack of recognition of
co-evolution at the heart of these approaches. We propose to explicitly
integrate the evolution of the environment into our approach in order to refine
the ontogenesis of the artificial system, and to compare it with the enaction
paradigm. The growing complexity of the ontogenetic mechanisms to be activated
can therefore be compensated by an interactive guidance system emanating from
the environment. This proposition does not however resolve that of the
relevance of the meaning created by the machine (sense-making). Such
reflections lead us to integrate human interaction into this environment in
order to construct relevant meaning in terms of participative artificial
intelligence. This raises a number of questions with regards to setting up an
enactive interaction. The article concludes by exploring a number of issues,
thereby enabling us to associate current approaches with the principles of
morphogenesis, guidance, the phenomenology of interactions and the use of
minimal enactive interfaces in setting up experiments which will deal with the
problem of artificial intelligence in a variety of enaction-based ways
Enactive manufacturing through cyber-physical systems: a step beyond cognitive manufacturing
Cognitive manufacturing, as a paradigm for providing intelligence to manufacturing
systems and enabling interaction with operators presents limitations. Manufacturing system
requires to be adaptive to machine tools, manufacturing environments and operators. In this line,
the enactive approach to cognitive science provides a paradigm for the design of new biologically
inspired cognitive architectures. Likewise, the advantages of Key Enabling Technologies and
the concept of Industry 4.0 reveal new opportunities for increasing industrial innovation and
developing sustainable industrial environments. These technologies are appropriated to
overcome the limitations of cognitive manufacturing, because they can achieve the integration
of physical and digital systems focused on cyber-physical systems. In this work, an architecture
for the sustainable development of enactive manufacturing systems based on holonic paradigm
is proposed and its main associated informational model is described
Connecting Theater and Virtual Reality with Cognitive Sciences: Positioning from computer science and artist meeting
International audienceThis positioning paper presents arguments in favor of collaboration between artists and computer scientists in touch with cognitive science. Each part met the other for a technical collaboration during one theater experimentation named " il était Xn fois ". The article starts with the scientists position relative to the link between cognitive sciences, virtual reality and artificial intelligence. This section highlights the need of autonomous entities to improve presence in artificial world and presents enactive artificial intelligence which aims at producing strong autonomous entities. The second part presents the purpose of the theatrical experimentation "il était Xn fois", which was publicly presented in 2009 by the theater dérézo. The last section is a synthetic view of what should complete artistic and computer scientists area
Robots as Powerful Allies for the Study of Embodied Cognition from the Bottom Up
A large body of compelling evidence has been accumulated demonstrating that embodiment â the agentâs physical setup, including its shape, materials, sensors and actuators â is constitutive for any form of cognition and as a consequence, models of cognition need to be embodied. In contrast to methods from empirical sciences to study cognition, robots can be freely manipulated and virtually all key variables of their embodiment and control programs can be systematically varied. As such, they provide an extremely powerful tool of investigation. We present a robotic bottom-up or developmental approach, focusing on three stages: (a) low-level behaviors like walking and reflexes, (b) learning regularities in sensorimotor spaces, and (c) human-like cognition. We also show that robotic based research is not only a productive path to deepening our understanding of cognition, but that robots can strongly benefit from human-like cognition in order to become more autonomous, robust, resilient, and safe
Introducing a Pictographic Language for Envisioning a Rich Variety of Enactive Systems with Different Degrees of Complexity
Notwithstanding the considerable amount of progress that has been made in recent years, the parallel fields of cognitive science and cognitive systems lack a unifying methodology for describing, understanding, simulating and implementing advanced cognitive behaviours. Growing interest in âenactivismâ - as pioneered by the Chilean biologists Humberto Maturana and Francisco Varela - may lead to new perspectives in these areas, but a common framework for expressing many of the key concepts is still missing. This paper attempts to lay a tentative foundation in that direction by extending Maturana and Varelaâs pictographic depictions of autopoietic unities to create a rich visual language for envisioning a wide range of enactive systems - natural or artificial - with different degrees of complexity. It is shown how such a diagrammatic taxonomy can help in the comprehension of important relationships between a variety of complex concepts from a pan-theoretic perspective. In conclusion, it is claimed that visual language is not only valuable for teaching and learning, but also offers important insights into the design and implementation of future advanced robotic systems
Synthetic Semiotics: on modelling and simulating the \ud emergence of sign processes
Based on formal-theoretical principles about the \ud
sign processes involved, we have built synthetic experiments \ud
to investigate the emergence of communication based on \ud
symbols and indexes in a distributed system of sign users, \ud
following theoretical constraints from C.S.Peirce theory of \ud
signs, following a Synthetic Semiotics approach. In this paper, we summarize these computational experiments and results regarding associative learning processes of symbolic sign modality and cognitive conditions in an evolutionary process for the emergence of either symbol-based or index-based communication
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