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Horn's division of pragmatic labour (Horn, 1984) is a universal property of language, and amounts to the pairing of simple meanings to simple forms, and deviant meanings to complex forms. This division makes sense, but a community of language users that do not know it makes sense will still develop it after a while, because it gives optimal communication at minimal costs. This property of the division of pragmatic labour is shown by formalising it and applying it to a simple form of signalling games, which allows computer simulations to corroborate intuitions. The division of pragmatic labour is a stable communicative strategy that a population of communicating agents will converge on, and it cannot be replaced by alternative strategies once it is in place.
The main concern of this article is to discuss some recent findings concerning the psychological reality of optimality-theoretic pragmatics and its central part – bidirectional optimization. A present challenge is to close the gap between experimental pragmatics and neo-Gricean theories of pragmatics. I claim that OT pragmatics helps to overcome this gap, in particular in connection with the discussion of asymmetries between natural language comprehension and production. The theoretical debate will be concentrated on two different ways of interpreting bidirection: first, bidirectional optimization as a psychologically realistic online mechanism; second, bidirectional optimization as an offline phenomenon of fossilizing optimal form-meaning pairs. It will be argued that neither of these extreme views fits completely with the empirical data when taken per se.
Ever since the discovery of neural networks, there has been a controversy between two modes of information processing. On the one hand, symbolic systems have proven indispensable for our understanding of higher intelligence, especially when cognitive domains like language and reasoning are examined. On the other hand, it is a matter of fact that intelligence resides in the brain, where computation appears to be organized by numerical and statistical principles and where a parallel distributed architecture is appropriate. The present claim is in line with researchers like Paul Smolensky and Peter Gärdenfors and suggests that this controversy can be resolved by a unified theory of cognition – one that integrates both aspects of cognition and assigns the proper roles to symbolic computation and numerical neural computation.
The overall goal in this contribution is to discuss formal systems that are suitable for grounding the formal basis for such a unified theory. It is suggested that the instruments of modern logic and model theoretic semantics are appropriate for analyzing certain aspects of dynamical systems like inferring and learning in neural networks. Hence, I suggest that an active dialogue between the traditional symbolic approaches to logic, information and language and the connectionist paradigm is possible and fruitful. An essential component of this dialogue refers to Optimality Theory (OT) – taken as a theory that likewise aims to overcome the gap between symbolic and neuronal systems. In the light of the proposed logical analysis notions like recoverability and bidirection are explained, and likewise the problem of founding a strict constraint hierarchy is discussed. Moreover, a claim is made for developing an "embodied" OT closing the gap between symbolic representation and embodied cognition.
The article aims to give an overview about the application of Optimality Theory (OT) to the domain of pragmatics. In the introductory part we discuss different ways to view the division of labor between semantics and pragmatics. Rejecting the doctrine of literal meaning we conform to (i) semantic underdetermination and (ii) contextualism (the idea that the mechanism of pragmatic interpretation is crucial both for determining what the speaker says and what he means). Taking the assumptions (i) and (ii) as essential requisites for a natural theory of pragmatic interpretation, section 2 introduces the three main views conforming to these assumptions: Relevance theory, Levinson’s theory of presumptive meanings, and the Neo-Gricean approach. In section 3 we explain the general paradigm of OT and the idea of bidirectional optimization. We show how the idea of optimal interpretation can be used to restructure the core ideas of these three different approaches. Further, we argue that bidirectional OT has the potential to account both for the synchronic and the diachronic perspective on pragmatic interpretation. Section 4 lists relevant examples of using the framework of bidirectional optimization in the domain of pragmatics. Section 5 provides some general conclusions. Modeling both for the synchronic and the diachronic perspective on pragmatics opens the way for a deeper understanding of the idea of naturalization and (cultural) embodiment in the context of natural language interpretation.
