Dans cette enquête, j’affirme que les signes occupent une place centrale dans la cosmologie de Peirce, et que le fait de soutenir de nouvelles propositions à travers le dialogue a le pouvoir de favoriser l’unité nécessaire pour souder les membres de son continuum. Le dialogue tel que conçu par Peirce devient le moyen de souder chaque membre du continuum. Le principal moteur dans la réalisation de cette «soudure», selon Peirce, est le hasard/l’habitude dans l’utilisation des signes elle-même. Bien que la (...) place du soi, conçu comme une expression de toutes les composantes du monde physique, sera considérée, je m’intéresserai principalement aux changements logiques constatés par le passage du dialogue inter-actionnel au dialogue intra-actionnel. (shrink)

Ford’s Helen Keller Was Never in a Chinese Room claims that my argument in How Helen Keller Used Syntactic Semantics to Escape from a Chinese Room fails because Searle and I use the terms ‘syntax’ and ‘semantics’ differently, hence are at cross purposes. Ford has misunderstood me; this reply clarifies my theory.

Turner argues that computer programs must have purposes, that implementation is not a kind of semantics, and that computers might need to understand what they do. I respectfully disagree: Computer programs need not have purposes, implementation is a kind of semantic interpretation, and neither human computers nor computing machines need to understand what they do.

A computer can come to understand natural language the same way Helen Keller did: by using “syntactic semantics”—a theory of how syntax can suffice for semantics, i.e., how semantics for natural language can be provided by means of computational symbol manipulation. This essay considers real-life approximations of Chinese Rooms, focusing on Helen Keller’s experiences growing up deaf and blind, locked in a sort of Chinese Room yet learning how to communicate with the outside world. Using the SNePS computational knowledge-representation system, (...) the essay analyzes Keller’s belief that learning that “everything has a name” was the key to her success, enabling her to “partition” her mental concepts into mental representations of: words, objects, and the naming relations between them. It next looks at Herbert Terrace’s theory of naming, which is akin to Keller’s, and which only humans are supposed to be capable of. The essay suggests that computers at least, and perhaps non-human primates, are also capable of this kind of naming. (shrink)

Social externalism must allow that subjects can misunderstand the content of their own thoughts. I argue that we can exploit this commitment to create a dilemma for the view’s account of communication. To arrive at the first horn of the dilemma, I argue that, on social externalism, it is understanding which is the measure of communicative success. This would be a highly revisionary account of communication. The only way that the social externalist can salvage the claim that mental content is (...) central to explaining communicative success is by adopting an account which gives unacceptable diagnoses as to the success of communicative exchanges. This is the second horn of the dilemma. Contrastingly, certain internalist views of content, which deny that subjects share thought content, do not face the dilemma. I argue that, as such, we should prefer accounts of communication which deny that subjects speak the same language. (shrink)

Holistic views of content claim that we each speak and think in distinct and idiosyncratic idiolects: although we may often entertain thoughts with similar contents, the content of our thoughts can...

The study of human-human communication and the development of computational models for human-agent communication have diverged significantly throughout the last decade. Yet, despite frequently made claims of “super-human performance” in, e.g., speech recognition or image processing, so far, no system is able to lead a half-decent coherent conversation with a human. In this paper, we argue that we must start to re-consider the hallmarks of cooperative communication and the core capabilities that we have developed for it, and which conversational agents (...) need to be equipped with: incremental joint co-construction and mentalizing. We base our argument on a vast body of work on human-human communication and its psychological processes that we reason to be relevant and necessary to take into account when modeling human-agent communication. We contrast those with current conceptualizations of human-agent interaction and formulate suggestions for the development of future systems. (shrink)

In this paper we want to examine how the mutual understanding of speakers is reached during a conversation through collaborative processes, and what role is played by abductive inference (in the Peircean sense) in these processes. We do this by bringing together contributions coming from a variety of disciplines, such as logic, philosophy of language and psychology. When speakers are engaged in a conversation, they refer to a supposed common ground: every participant ascribes to the others some knowledge, belief, opinion (...) etc. on which to rely in order to reach mutual understanding. As the conversation unfolds, this common ground is continually corrected and reshaped by the interchanges. An abductive reasoning takes place, in a collaborative setting, in order to build new possible theories about the common ground. In reconstructing this process through the use of a working example, we argue that the integration of a collaborative perspective within the Peircean theory of abduction can help to solve some of the drawbacks that the critics of the latter have outlined, for example its permissivity and non generativity. (shrink)

This essay describes computational semantic networks for a philosophical audience and surveys several approaches to semantic-network semantics. In particular, propositional semantic networks are discussed; it is argued that only a fully intensional, Meinongian semantics is appropriate for them; and several Meinongian systems are presented.

Contextual vocabulary acquisition (CVA) is the deliberate acquisition of a meaning for a word in a text by reasoning from context, where “context” includes: (1) the reader’s “internalization” of the surrounding text, i.e., the reader’s “mental model” of the word’s “textual context” (hereafter, “co-text” [3]) integrated with (2) the reader’s prior knowledge (PK), but it excludes (3) external sources such as dictionaries or people. CVA is what you do when you come across an unfamiliar word in your reading, realize that (...) you don’t know what it means, decide that you need to know what it means in order to understand the passage, but there is no one around to ask, and it is not in the dictionary (or you are too lazy to look it up). In such a case, you can try to figure out its meaning “from context”, i.e., from clues in the co-text together with your prior knowledge. Our computational theory of CVA—implemented in a the SNePS knowledge representation and reasoning system [28]—begins with a stored knowledge base containing SNePS representations of relevant PK, inputs SNePS representations of a passage containing an unfamiliar word, and draws inferences from these two (integrated) information sources. When asked to define the word, definition algorithms deductively search the resulting network for information of the sort that might be found in a dictionary definition, outputting a definition frame whose slots are the kinds of features that a definition might contain (e.g., class membership, properties, actions, spatio-temporal information, etc.) and whose slot-fillers contain information gleaned from the network [6–8,20,23,24]. We are investigating ways to make our system more robust, to embed it in a naturallanguage-processing system, and to incorporate morphological information. Our research group, including reading educators, is also applying our methods to the develop-. (shrink)

In this paper we investigate how the dynamic nature of words’ meanings plays a role in a philosophical theory of meaning. For ‘dynamic nature’ we intend the characteristic of being flexible, of changing according to many factors (speakers, contexts, and more). We consider meaning as something that gradually takes shape from the dynamic processes of communication. Accordingly, we present a draft of a theory of meaning that, on the one hand, describes how a private meaning is formed as a mental (...) state of individual agents during a lifetime of experiences, and, on the other hand, shows how a public meaning emerges from the interaction of agents. When communicating with each other, agents need to converge on a shared meaning of the words used, by means of a negotiation process. A public meaning is the abstract product of many of these processes while, at the same time, the private meanings are continually reshaped by each negotiation. Exploring this dynamics, we have been looking at the work done by computer scientists dealing with problems of heterogeneity of sources of information. We argue that a suitable solution for both disciplines lies in a systematic characterization of the processes of meaning negotiation. (shrink)