This is the implication of the anthropic principle: a universe, that allows human existence can only be observed and conceptualised - linguistically structured, for our purpose - by human beings due to the constraints set by the internal structure of the universe. This is, any theory about the world and about the phenomena it consists of has to take into account that the available data possibly reflects only a sample of the topic to be theorised. Absolute objectivity is a myth. Theories should be regarded as points of view, in its very sense.
The fictional GOLEM XIV, artificial anthropologist at the MIT of the year 2029, encounters the problem from an opposite perspective: he knows well about man and the thematic role, man holds in universe. But he is not able to communicate about his knowledge without cutting down on his actual message because natural language does not provide the concepts required.
From this point of view, the study of semantic acquisition becomes a methodological one. When communicating linguistically about the world we live in and act on, how do we know that our words - those Saussurian signs with a concept on one side and an arbitrary form on another - actually cover the intended objects and ideas in their entirety? At least, the question is worth to be asked.
Bloom (2001) extends the question to at least two specifications. First, when discussing Williard Quine´s gavagai problem (describing the get-together of a linguist, a native speaker of some unexplored language, and a rabbit, at whose turn up the native utters the word gavagai), Bloom concludes that "there is an infinity of logically possible meanings for gavagai." (Bloom 2001:3). The utterance could refer to any component of this situation, the properties of the rabbit itself, such as its biological categorisation, its colour, texture, or acoustic appearance. Gavagai could even refer to the very spatio-temporal characteristics of the moment itself, to "time slices of rabbits", as Bloom puts it.
Table of Contents
1 The Sky's the Limit
1.1 Introduction
1.2 Approaches to Language Acquisition
1.3 The Quest for Semantic Universals
2 Rings Around the World
2.1 Prototype Theory
2.2 Semantic Feature Theory
2.3 Functional Core Concept Theory
3 Are You Talking to Me?
3.1 A Brief History of Machine
4 Discussion
4.1 Colourless Green Ideas
5 References
6 Confirmation of Authorship
Objectives and Topics
This paper explores the mechanisms of semantic acquisition, focusing on how children and artificial systems derive meaning from their environment and establish linguistic structures.
- Comparison of major human semantic acquisition theories (Prototype, Semantic Feature, and Functional Core Concept).
- Investigation of the "nature versus nurture" controversy in linguistic development.
- Analysis of computational approaches to bootstrapping semantics in artificial agents.
- Examination of the linguistic management of colour as a test case for grounded meaning.
- Evaluation of the methodological foundations for defining semantic primitives.
Excerpt from the Book
2.1 Prototype Theory
As a counterpart to Leibniz´s idea of a basic catalogue of thoughts, the philosopher Ludwig Wittgenstein considered the phenomenon of “family resemblances“. (cf. Aitchison 1994: 47f) For the semantic field of games including board games, card games, and ball games he concluded that, although there obviously is a certain amount of correspondences among different groups or categories of games, there would not be any justifiable way to state a single characteristic which is common to the entirety of them.
Since the 1970ies, a lot of research has been done on the implications of family resemblances to the study of semantic acquisition. The results have supported the theory that children learn the meanings of words by associating the most representative example, this is, the prototype of a category with a particular word and compare any new instance for the degree of resemblance to the prototype. In terms of methodological thoroughness of the research and sustainability of the conclusions, the major work on the topic was made by Eleanor Rosch (1978).
Rosch has argued that the nature of human categorisation is not the effect of an arbitrary, historical agreement but rather the result of two general psychological principles that determine the function and informational structure of category systems. The first principle deals with the economical paradigm to provide maximum outcome, such as information, with the least possible employment of finite resources in terms of cognitive effort. An organism´s attempt to categorise a stimulus implies the consideration of its similarity as well as its difference to other stimuli.
Summary of Chapters
1 The Sky's the Limit: Introduces the methodological challenges of semantic acquisition and the debate between innateness and experience.
2 Rings Around the World: Examines three key theories of natural semantic acquisition: Prototype Theory, Semantic Feature Theory, and Functional Core Concept Theory.
3 Are You Talking to Me?: Discusses the implementation of semantic acquisition methodologies in artificial intelligence and robotic multi-agent systems.
4 Discussion: Synthesizes the findings by analyzing the linguistic and cognitive categorization of colour as a salient world structure.
5 References: Provides a comprehensive bibliography of the cited linguistic, cognitive, and artificial intelligence literature.
6 Confirmation of Authorship: Contains the formal declaration of academic integrity and individual authorship.
Keywords
Semantic Acquisition, Prototype Theory, Semantic Feature Theory, Functional Core Concept, Language Acquisition Device, Artificial Intelligence, Multi-agent Systems, Grounded Meaning, Linguistic Universals, Cognitive Economy, Nature-Nurture Controversy, Fast Mapping, Colour Categorization.
Frequently Asked Questions
What is the primary focus of this work?
The paper examines how humans acquire the meaning of words and explores the extent to which these acquisition strategies can be successfully applied to artificial intelligent systems.
What are the central theoretical frameworks discussed?
The work focuses on Rosch's Prototype Theory, Clark's Semantic Feature Theory, and Nelson's Functional Core Concept Theory as the primary models for human semantic development.
What is the core research objective?
The objective is to analyze the nature of semantic acquisition and to determine how "meaning" is grounded in both human cognition and artificial systems.
Which scientific methodology is primarily employed?
The author follows a top-down strategy, transitioning from general theoretical notions of language acquisition to specific implementations in artificial systems and a focused discussion on colour perception.
What topics are covered in the main section?
The main sections cover the nature-nurture debate, the quest for universal semantic primitives, the formation of concept prototypes, and recent computational experiments in language evolution.
How is this paper characterized by its keywords?
Key terms such as "Semantic Acquisition," "Grounded Meaning," and "Multi-agent Systems" define the paper's interdisciplinary approach connecting psycholinguistics with computer science.
How does the author relate colour perception to semantic acquisition?
The author uses colour as a case study to show that while some properties exist independently in the world, colour meaning is largely a result of human perception and communication, which challenges the idea of universally grounded meaning.
What is the role of the "Talking Heads" experiment in the discussion?
The experiment serves as a practical example of how artificial agents can develop shared lexicons through interactive "guessing games," demonstrating how lexical coherence can emerge from decentralized agents.
- Quote paper
- M.A. Daniel Daimler (Author), 2003, Drawing rings around the world - The acquisition of meaning, Munich, GRIN Verlag, https://www.grin.com/document/13168
