A Praxical Solution of the Symbol Grounding Problem

Taddeo, Mariarosaria; Floridi, Luciano

doi:10.1007/s11023-007-9081-3

Cited by 67 publications

(10 citation statements)

References 14 publications

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“…Symbols here are defined in the sense of Harnad (1991) who uses the Chinese Room Argument (Searle 1980) to introduce the Symbol Grounding Problem. This is in line with the praxical solution proposed by Taddeo and Floridi [15] in form of Action-based Semantics with the simple basic idea that initially, the meanings of the symbols generated by an agent are the internal states of the agent which are directly correlated with the agents actions.…”

Section: Information Semanticssupporting

confidence: 80%

“…Floridi, who together with Taddeo [15] contributed to the research on the data grounding problem, explains the situation in the following way: "Arguably, the frame problem (how a situated agent can represent, and interact with, a changing world satisfactorily) and its sub-problems are a consequence of the data grounding problem [Harnad 1993], Taddeo and Floridi [2005]). In more metaphysical terms, this is the problem of the semanticisation of being and it is further connected with the problem of whether information can be naturalised."…”

Section: What Is the Dynamics Of Information?mentioning

confidence: 99%

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Floridi’s “Open Problems in Philosophy of Information”, Ten Years Later

Dodig-Crnković

Hofkirchner

2011

Information

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In his article Open Problems in the Philosophy of Information [1] LucianoFloridi presented a Philosophy of Information research program in the form of eighteen open problems, covering the following fundamental areas: Information definition, information semantics, intelligence/cognition, informational universe/nature and values/ethics. We revisit Floridi's program, highlighting some of the major advances, commenting on unsolved problems and rendering the new landscape of the Philosophy of Information (PI) emerging at present. As we analyze the progress of PI we try to situate Floridi's program in the context of scientific and technological development that have been made last ten years. We emphasize that Philosophy of Information is a huge and vibrant research field, with its origins dating before Open Problems, and its domains extending even outside their scope. In this paper, we have been able only to sketch some of the developments during the past ten years. Our hope is that, even if fragmentary, this review may serve as a contribution to the effort of understanding the present state of the art and the paths of development of Philosophy of Information as seen through the lens of Open Problems.

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Section: Information Semanticssupporting

confidence: 80%

Section: What Is the Dynamics Of Information?mentioning

confidence: 99%

Floridi’s “Open Problems in Philosophy of Information”, Ten Years Later

Dodig-Crnković

Hofkirchner

2011

Information

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“…The dominant frameworks of cognition are all characterized by inherent limitations, such as the inability to account for both low-and high-level cognition, or to scale between them (the symbol's grounding problem-how symbols get their meanings, and of what meanings they are comprised). Neither symbolic nor connectionist frameworks are able to account for the emergence of representation in a purely naturalistic manner (see [33]). …”

Section: Analog/digital-continuous/discrete-differentiation/integrationmentioning

confidence: 99%

Computational Dynamics of Natural Information Morphology, Discretely Continuous

Dodig-Crnković

2017

Philosophies

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This paper presents a theoretical study of the binary oppositions underlying the mechanisms of natural computation understood as dynamical processes on natural information morphologies. Of special interest are the oppositions of discrete vs. continuous, structure vs. process, and differentiation vs. integration. The framework used is that of computing nature, where all natural processes at different levels of organisation are computations over informational structures. The interactions at different levels of granularity/organisation in nature, and the character of the phenomena that unfold through those interactions, are modeled from the perspective of an observing agent. This brings us to the movement from binary oppositions to dynamic networks built upon mutually related binary oppositions, where each node has several properties.

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“…MGS and PI both address the SGP but they reach different conclusions [4,6,8] -Ontological status of information. PI addresses that question in terms of ontological category.…”

Section: Philosophy Of Information and The Mgsmentioning

confidence: 99%

Meaning Generation for Animals, Humans and Artificial Agents. An Evolutionary Perspective on the Philosophy of Information

Menant¹

2017

Proceedings of the IS4SI 2017 Summit DIGITALISATION FOR a SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.

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Abstract:Meanings are present everywhere in our environment and within ourselves. But these meanings do not exist by themselves. They are associated to information and have to be created, to be generated by agents. The Meaning Generator System (MGS) has been developed to model meaning generation in agents following a system approach in an evolutionary perspective. The agents can be natural or artificial. The MGS generates meaningful information (a meaning) when it receives information that has a connection with an internal constraint to which the agent is submitted. The generated meaning is to be used by the agent to implement actions aimed at satisfying the constraint. We propose here to highlight some characteristics of the MGS that could be related to items of philosophy of information.

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A Praxical Solution of the Symbol Grounding Problem

Cited by 67 publications

References 14 publications

Floridi’s “Open Problems in Philosophy of Information”, Ten Years Later

Floridi’s “Open Problems in Philosophy of Information”, Ten Years Later

Computational Dynamics of Natural Information Morphology, Discretely Continuous

Meaning Generation for Animals, Humans and Artificial Agents. An Evolutionary Perspective on the Philosophy of Information

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