An Integrated Implementation of Simulative, Uncertain and Metaphorical Reasoning about Mental States

Barnden, John A.; Helmreich, Stephen; Iverson, Eric; Stein, Gees C.

doi:10.1016/b978-1-4832-1452-8.50100-7

Cited by 12 publications

(13 citation statements)

References 6 publications

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“…The key point is that this reasoning from the literal meaning of the utterance, conducted within the pretence context, link up with the knowledge displayed as (2). That knowledge is itself of a very fundamental, general nature, and does not, for instance, rely on the notion of store-room.…”

Section: The Mentioned Ideas Were Involved In John's Mind In Such a Wmentioning

confidence: 98%

“…Reasoning (sub)goals, provided facts and derived propositions are all called hypotheses for convenience. Hypotheses are actually (Barnden et al 1994) terms in a first-order, episode-based logic akin to that of, say, Hobbs (1990), but for simplicity of presentation they will be portrayed here as formulas in a first-order modal logic.…”

Section: Att-meta's Basic Reasoningmentioning

confidence: 99%

“…But note that (a) to (d) are just pieces of common-sense information about the physical world. The only properly metaphorical processing is the application of rule (2). Principles (a) to (d) are couched as ATT-Meta rules that we do not detail here.…”

Section: The Mentioned Ideas Were Involved In John's Mind In Such a Wmentioning

confidence: 99%

“…We have developed and implemented a context-based mechanism for belief reasoning, in our ATT-Meta system (Barnden 1998, Barnden et al 1994, mainly for the purposes of natural language pragmatics. However, we have also taken the unusual step of developing, within the very same system, a context-based mechanism for metaphor-based reasoning-the reasoning needed during the understanding of metaphorical utterances.…”

Section: Introductionmentioning

confidence: 99%

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An Implemented Context System that Combines Belief Reasoning, Metaphor-Based Reasoning and Uncertainty Handling

Barnden

Lee

1999

Modeling and Using Context

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Abstract. An implemented context-based reasoning system called ATT-Meta is sketched. The system can perform both reasoning about beliefs of agents and metaphor-based reasoning. In particular, it can perform metaphor-based reasoning about beliefs and reasoning acts. The metaphor-based reasoning and belief reasoning facilities are fully integrated into a general framework for uncertain reasoning. This framework allows for uncertain reasoning and conflict resolution within individual contexts, uncertainty in individual inter-context bridging rules, conflict resolution between the effects of different bridging rules, and conflictresolution across context boundaries when argumentation inside a context conflicts with argumentation outside.

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Section: The Mentioned Ideas Were Involved In John's Mind In Such a Wmentioning

confidence: 98%

Section: Att-meta's Basic Reasoningmentioning

confidence: 99%

Section: The Mentioned Ideas Were Involved In John's Mind In Such a Wmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Implemented Context System that Combines Belief Reasoning, Metaphor-Based Reasoning and Uncertainty Handling

Barnden

Lee

1999

Modeling and Using Context

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“…The project has led to the development of a computer program called ATT-Meta. ATT-Meta performs types of reasoning that we claim are needed for metaphor understanding (Barnden, 1998(Barnden, , 2001aBarnden et al, 1994Barnden et al, , 1996Barnden et al, , 2002bBarnden & Lee, 1999; Lee & Barnden, 2001a). The present article, however, reports theoretical considerations that, while generated by the development of ATT-Meta, are important independently of that program and are of potential interest to metaphor researchers in non-computational disciplines.…”

Section: Introductionmentioning

confidence: 99%

Varieties and Directions of Interdomain Influence in Metaphor

Barnden¹,

Glasbey²,

Lee³

et al. 2004

Metaphor and Symbol

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We consider the varieties and directions of influence that the source and target domains involved in a conceptual metaphor can have on each other during the course of understanding metaphorical utterances based on the metaphor. Previous studies have been restricted both as to direction of influence and as to type of influence. They have been largely confined to the "forward" (source to target) direction of influence, and they have concentrated on the transfer of features or propositions and (to some extent) the highlighting of aspects of a domain. By contrast, this article stresses the importance both of other varieties of influence (e.g., transfer of queries and uncertainty effects) and of "reverse" influence (target to source). We seek to curb the natural tendency to think that, because metaphor involves an overall move from source to target, therefore all inter-domain influences in the course of understanding go in that direction. The bulk of the article explores the theoretical issues involved. These issues have arisen out of a reasoning-based approach to metaphor, seeking to make best use of information from metaphorical utterance, context, source and target domains, and known metaphorical mappings, by applying a complex overall reasoning process. The article briefly explains the thorough implementation of reverse influence in a computer program for metaphorical reasoning called ATT-Meta, although the theoretical considerations are relevant to all disciplines concerned with metaphor. We make some suggestions for further computational and psychological research on metaphor.2

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Text Meaning Representation as a Basis for Representation of Text Interpretation

Helmreich

Farwell

2000

Envisioning Machine Translation in the Information Future

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Typically, high volume text processing has been based on representations of the texts such as Parts of Speech (POS), parsed formalizations or bag of words. This paper proposes an alternative representation of the text based on linguistic analysis. Drawing on systemic functional theory and its application to stylistics, we will develop a text 'phase portrait' comprised of the patterns of systemic features that are foregrounded in each text. We will only focus on computationally tractable features to ensure that textual phase portraits are easily identifiable by machine learner technology, a method that has proved successful in previous similar research (Herke-Couchman & Whitelaw 2003).

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An Integrated Implementation of Simulative, Uncertain and Metaphorical Reasoning about Mental States

Cited by 12 publications

References 6 publications

An Implemented Context System that Combines Belief Reasoning, Metaphor-Based Reasoning and Uncertainty Handling

An Implemented Context System that Combines Belief Reasoning, Metaphor-Based Reasoning and Uncertainty Handling

Varieties and Directions of Interdomain Influence in Metaphor

Text Meaning Representation as a Basis for Representation of Text Interpretation

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