Understanding Epistemic Relevance

Floridi, Luciano

doi:10.1007/s10670-007-9087-5

Cited by 62 publications

(27 citation statements)

References 32 publications

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“…However the need may not be explicit. Floridi [10] argued that there were no agent-oriented relevance theory and suggested a base of epistemic relevance. In this study information is considered as an answer to a query that an agent may ask.…”

Section: Background and Related Work Relevancementioning

confidence: 99%

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Distributed Decision-Theoretic Active Perception for Multi-robot Active Information Gathering

Renoux¹,

Mouaddib²,

LeGloannec³

2014

Modeling Decisions for Artificial Intelligence

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Abstract. Multirobot systems have made tremendous progress in exploration and surveillance. However, information gathering tasks remain passive: the agents receive information from their sensors without acting in order to gather it. In this paper, we present a model and an algorithm for active information gathering using the information relevance concept. In this model, robots explore, assess the relevance, update their beliefs and communicate the appropriate information to relevant robots. To do so, we propose a distributed decision process where a robot maintains a belief matrix representing its beliefs and beliefs about the beliefs of the other robots. This decision process uses entropy and Hellinger distance in a reward function to access the relevance of their beliefs and their divergence with the other robots. This model allows to derive a policy for gathering information to make the entropy low and a communication policy to reduce the divergence between robot's beliefs. An experimental scenario has been developed for an indoor information gathering mission. Our model has been compared to two different systems : one without communication and one communicating each received observation. The results show that our approach is more efficient than both systems.

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Section: Background and Related Work Relevancementioning

confidence: 99%

“…As a matter of fact, an observation cannot be relevant if it is a false observation [10]. We discuss about assumption and the way it is used in the decision process in section 3.2.…”

Section: Definition Of An Agent-based Relevancementioning

confidence: 99%

Distributed Decision-Theoretic Active Perception for Multi-robot Active Information Gathering

Renoux¹,

Mouaddib²,

LeGloannec³

2014

Modeling Decisions for Artificial Intelligence

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“…The bet might be risky (we might be wrong), but it often pays back handsomely in terms of lower amount of informational resources needed to reach a conclusion (see the case of the teacher assessing whether Maggie studied enough). Moreover, it is easy to show that the information gain increases (the bets are less risky) the more the following conditions are satisfied: (Floridi [2008]); 3. constraints: we assume A 1 ,A 2 ,…,A k to be mutually exclusive events, whose union is the whole sample space of an experiment, and B to be an event with P(B) > 0.…”

Section: Mpmentioning

confidence: 99%

Logical fallacies as informational shortcuts

Floridi

2008

Synthese

Self Cite

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The paper argues that the two best known formal logical fallacies, namely denying the antecedent (DA) and affirming the consequent (AC) are not just basic and simple errors, which prove human irrationality, but rather informational shortcuts, which may provide a quick and dirty way of extracting useful information from the environment. DA and AC are shown to be degraded versions of Bayes' theorem, once this is stripped of some of its probabilities. The less the probabilities count, the closer these fallacies become to a reasoning that is not only informationally useful but also logically valid.

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“…1). DIKW is a model describing the building of knowledge from information based on facts or data and hence has found use in multidisciplinary research, ranging from philosophy to systems analysis [20], [21]. Various flavours of the DIKW do exist [22], and for the purpose of this research, we add the notion of signals [23] while omitting the rather elusive tier of wisdom [24].…”

Section: Introductionmentioning

confidence: 99%

Airborne Prism Experiment Calibration Information System

Hueni

Lenhard²,

Baumgartner³

et al. 2013

IEEE Trans. Geosci. Remote Sensing

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The calibration of remote sensing instruments is a crucial step in the generation of products tied to international reference standards. Calibrating imaging spectrometers is particularly demanding due to the high number of spatiospectral pixels and, consequently, the large amount of data acquired during calibration sequences. Storage of these data and associated meta-data in an organized manner, as well as the provision of efficient tools for the data analysis and fast and repeatable calibration coefficient generation with provenance information, is key to the provision of traceable measurements. The airborne prism experiment (APEX) calibration information system is a multilayered information technology solution comprising a database based on the entity-attribute-value (EAV) paradigm and software written in Java and MATLAB, providing data access, visualization and processing, and handling the data volumes over the expected lifetime of the system. Although developed in the context of APEX, the system is rather generic and may be adapted to other pushbroom-based imagers with little effort. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Airborne Prism Experiment Calibration Information SystemAndreas Hueni, Member, IEEE, Karim Lenhard, Andreas Baumgartner, and Michael E. Schaepman, Senior Member, IEEE Abstract-The calibration of remote sensing instruments is a crucial step in the generation of products tied to international reference standards. Calibrating imaging spectrometers is particularly demanding due to the high number of spatiospectral pixels and, consequently, the large amount of data acquired during calibration sequences. Storage of these data and associated meta-data in an organized manner, as well as the provision of efficient tools for the data analysis and fast and repeatable calibration coefficient generation with provenance information, is key to the provision of traceable measurements. The airborne prism experiment (APEX) calibration information system is a multilayered information technology solution comprising a database based on the entity-attribute-value (EAV) paradigm and software written in Java and MATLAB, providing data access, visualization and processing, and handling the data volumes over the expected lifetime of the system. Although developed in the context of APEX, the system is rather generic and may be adapted to other pushbroom-based imagers with little effort.Index Terms-Imaging spectroscopy, relational database, sensor calibration.

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Understanding Epistemic Relevance

Cited by 62 publications

References 32 publications

Distributed Decision-Theoretic Active Perception for Multi-robot Active Information Gathering

Distributed Decision-Theoretic Active Perception for Multi-robot Active Information Gathering

Logical fallacies as informational shortcuts

Airborne Prism Experiment Calibration Information System

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