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Transactions on Computational Collective Intelligence XIV pp 100–119Cite as

Method of Constructing the Cognitive State for Context-Dependent Utterances in the Form of Conditionals

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Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 8615))

Abstract

During the last few years we have been working on a theory for the grounding of semiotic symbols in artificial agents. So far the theory allows for the grounding of statements that summarize a speaker’s knowledge generally without limiting the time or space related denotations of the utterance. The aim of this work is to propose an exemplary method for the grounding of context-dependent utterances. The implementation of this method should allow for the grounding of conditional statements about (describing) the current (last) environmental observation. To solve this task, a method for constructing a context-dependent model of a cognitive state is proposed. An agent’s knowledge is partitioned into a few disjoint subsets. This division is the result of a classification of past environmental observations. The classification process utilizes some known data exploration and feature selection methods which pick the environmental observations that seem relevant to the described situation.

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Notes

  1. 1.

    The grounding problem itself has been broadly described in [7, 18, 19, 24, 25].

  2. 2.

    Semantics differ from classical approaches based on truth tables. They are defined according to the agent’s partial knowledge, not to the physical (often unknown) state of the world.

  3. 3.

    For details on semantics please refer to the grounding theory.

  4. 4.

    For more information on the cognitive state model and its two layer architecture please refer to the grounding theory.

  5. 5.

    Please refer to [5, 21, 22] for more information on this subject. Here we count for the reader’s intuitive understanding of the conventional meaning.

  6. 6.

    The utterance is unreasonable because it conventionally implies that the speaker does not know whether \(p_1\) holds or not [21, 22].

  7. 7.

    According to the grounding theory.

  8. 8.

    The support is understood here as the amount of observations, not a percentage value. The choice of \(S_{min}\) value is a separate matter outside the scope of this paper.

  9. 9.

    In this case, according to the grounding theory, no epistemic relation for a conditional statement shall be met. The conditional statement can not be grounded and hence uttered, because it is required by the grounding theory that neither the antecedent, nor the consequent \(q\) is known.

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Acknowledgments

This paper was partially supported by Grant no. N N519 444939 funded by Polish Ministry of Science and Higher Education (2010–2013). Fellowship co-financed by European Union within European Social Fund.

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  1. Institute of Computer Science, Wroclaw University of Technology, Wroclaw, Poland

    Grzegorz Skorupa

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  1. Grzegorz Skorupa
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Correspondence to Grzegorz Skorupa .

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  1. Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

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Skorupa, G. (2014). Method of Constructing the Cognitive State for Context-Dependent Utterances in the Form of Conditionals. In: Nguyen, N. (eds) Transactions on Computational Collective Intelligence XIV. Lecture Notes in Computer Science(), vol 8615. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44509-9_5

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  • DOI: https://doi.org/10.1007/978-3-662-44509-9_5

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