Pre-cognitive Semantic Information

This paper addresses one of the fundamental problems of the philosophy of information: How does semantic information emerge within the underlying dynamics of the world?—the dynamical semantic information problem. It suggests that the canonical approach to semantic information that defines data before meaning and meaning before use is inadequate for pre-cognitive information media. Instead, we should follow a pragmatic approach to information where one defines the notion of information system as a special kind of purposeful system emerging within the underlying dynamics of the world and define semantic information as the currency of the system. In this way, systems operating with semantic information can be viewed as patterns in the dynamics—semantic information is a dynamical system phenomenon of highly organized systems. In the simplest information systems, the syntax, semantics, and pragmatics of the information medium are co-defined. It proposes a new more general theory of information semantics that focuses on the interface role of the information states in the information system—the interface theory of meaning. Finally, with the new framework, it addresses the debate between weakly semantic and strongly semantic accounts of information, siding with the strongly semantic view because the pragmatic account developed here is a better generalization of it.     

Linking somatic and symbolic representation in semantic memory: the dynamic multilevel reactivation framework

Biological plausibility is an essential constraint for any viable model of semantic memory. Yet, we have only the most rudimentary understanding of how the human brain conducts abstract symbolic transformations that underlie word and object meaning. Neuroscience has evolved a sophisticated arsenal of techniques for elucidating the architecture of conceptual representation. Nevertheless, theoretical convergence remains elusive. Here we describe several contrastive approaches to the organization of semantic knowledge, and in turn we offer our own perspective on two recurring questions in semantic memory research: (1) to what extent are conceptual representations mediated by sensorimotor knowledge (i.e., to what degree is semantic memory embodied)? (2) How might an embodied semantic system represent abstract concepts such as modularity, symbol, or proposition? To address these questions, we review the merits of sensorimotor (i.e., embodied) and amodal (i.e., disembodied) semantic theories and address the neurobiological constraints underlying each. We conclude that the shortcomings of both perspectives in their extreme forms necessitate a hybrid middle ground. We accordingly propose the Dynamic Multilevel Reactivation Framework—an integrative model predicated upon flexible interplay between sensorimotor and amodal symbolic representations mediated by multiple cortical hubs. We discuss applications of the dynamic multilevel reactivation framework to abstract and concrete concept representation and describe how a multidimensional conceptual topography based on emotion, sensation, and magnitude can successfully frame a semantic space containing meanings for both abstract and concrete words. The consideration of ‘abstract conceptual features’ does not diminish the role of logical and/or executive processing in activating, manipulating and using information stored in conceptual representations. Rather, it proposes that the materials upon which these processes operate necessarily combine pure sensorimotor information and higher-order cognitive dimensions involved in symbolic representation.     

维-汉-英三语者三种语言语义通达模型的实验研究

以维吾尔族大学生为研究对象,采用跨语言启动条件下的真假词汇判断任务,变换启动词与目标词的关系类型和语言种类,考察了L2—L1、L3—L1、L3—L2等三种语言词汇之间的语义通达模式。结果发现,维-汉-英三语者的三种语言词汇之间的联结模式为熟练的第二语言词汇是直接通达语义;而非熟练的第三语言词汇既借助母语词汇又借助汉语词汇来通达语义。除此之外,被试的外语熟练水平和语言间的相似性是影响外语词汇通达语义的主要原因。     

Semantic significance: a new measure of feature salience

According to the feature-based model of semantic memory, concepts are described by a set of semantic features that contribute, with different weights, to the meaning of a concept. Interestingly, this theoretical framework has introduced numerous dimensions to describe semantic features. Recently, we proposed a new parameter to measure the importance of a semantic feature for the conceptual representation—that is, semantic significance. Here, with speeded verification tasks, we tested the predictive value of our index and investigated the relative roles of conceptual and featural dimensions on the participants’ performance. The results showed that semantic significance is a good predictor of participants’ verification latencies and suggested that it efficiently captures the salience of a feature for the computation of the meaning of a given concept. Therefore, we suggest that semantic significance can be considered an effective index of the importance of a feature in a given conceptual representation. Moreover, we propose that it may have straightforward implications for feature-based models of semantic memory, as an important additional factor for understanding conceptual representation.     

Epistemic representation, informativeness and the aim of faithful representation

In this paper, I take scientific models to be epistemic representations of their target systems. I define an epistemic representation to be a tool for gaining information about its target system and argue that a vehicle’s capacity to provide specific information about its target system—its informativeness—is an essential feature of this kind of representation. I draw an analogy to our ordinary notion of interpretation to show that a user’s aim of faithfully representing the target system is necessary for securing this feature.     

Contextual self-organizing map: software for constructing semantic representations

In this article, we introduce a software package that applies a corpus-based algorithm to derive semantic representations of words. The algorithm relies on analyses of contextual information extracted from a text corpus—specifically, analyses of word co-occurrences in a large-scale electronic database of text. Here, a target word is represented as the combination of the average of all words preceding the target and all words following it in a text corpus. The semantic representation of the target words can be further processed by a self-organizing map (SOM; Kohonen, Self-organizing maps, 2001), an unsupervised neural network model that provides efficient data extraction and representation. Due to its topography-preserving features, the SOM projects the statistical structure of the context onto a 2-D space, such that words with similar meanings cluster together, forming groups that correspond to lexically meaningful categories. Such a representation system has its applications in a variety of contexts, including computational modeling of language acquisition and processing. In this report, we present specific examples from two languages (English and Chinese) to demonstrate how the method is applied to extract the semantic representations of words.     

Identifying bilingual semantic neural representations across languages

The goal of the study was to identify the neural representation of a noun’s meaning in one language based on the neural representation of that same noun in another language. Machine learning methods were used to train classifiers to identify which individual noun bilingual participants were thinking about in one language based solely on their brain activation in the other language. The study shows reliable (p < .05) pattern-based classification accuracies for the classification of brain activity for nouns across languages. It also shows that the stable voxels used to classify the brain activation were located in areas associated with encoding information about semantic dimensions of the words in the study. The identification of the semantic trace of individual nouns from the pattern of cortical activity demonstrates the existence of a multi-voxel pattern of activation across the cortex for a single noun common to both languages in bilinguals.     

非熟练潮-粤双言者的语义通达：来自听觉词加工的证据

采用听觉跨语言启动的语义判断范式, 考察非熟练潮-粤双言者的两种方言之间的语义通达方式。结果发现, 无论是以潮语词为启动词, 还是以粤语词为启动词, 当二者具有翻译关系时, 启动词均促进对目标词的识别, 但L1对L2的启动量比L2对L1的启动量大。当启动词与目标词具有语义联想关系时, 启动词亦能促进对目标词的识别, 但L1→L2与L2→L1的启动量差异不显著。整个研究表明, 非熟练潮-粤双言者的两种方言的词汇独立表征, 语义共享表征; 第二方言的词汇能够直接通达语义表征, 不需要以第一方言的词汇为中介, 但双言的词汇表征与语义表征的联结强度仍然存在着不对称性。     

Lexical-rule predicativism about names

Predicativists hold that proper names have predicate-type semantic values. They face an obvious challenge: in many languages (English among them) names normally occur as, what appear to be, grammatical arguments (call these bare occurrences). The standard version of predicativism answers this challenge by positing an unpronounced determiner in bare occurrences. I argue that this is a mistake. Predicativists should draw a distinction between two kinds of semantic type—underived semantic type and derived semantic type. The predicativist thesis concerns the underived semantic type of proper names and underdetermines a view about the semantic type of bare occurrences. I’ll argue that predicativists should hold that bare names are derived individual-denoting expressions. I end by considering what this result means for the relationship between predicativism and other metalinguistic theories of names.     

Psycholinguistic measures for German verb pairs: Semantic transparency,semantic relatedness,verb family size,and age of reading acquisition

A central issue in visual and spoken word recognition is the lexical representation of complex words—in particular, whether the lexical representation of complex words depends on semantic transparency: Is a complex verb like understand lexically represented as a whole word or via its base stand, given that its meaning is not transparent from the meanings of its parts? To study this issue, a number of stimulus characteristics are of interest that are not yet available in public databases of German. This article provides semantic association ratings, lexical paraphrases, and vector-based similarity measures for German verbs, measuring (a) the semantic transparency between 1,259 complex verbs and their bases, (b) the semantic relatedness between 1,109 verb pairs with 432 different bases, and (c) the vector-based similarity measures of 846 verb pairs. Additionally, we include the verb regularity of all verbs and two counts of verb family size for 184 base verbs, as well as estimates of age of acquisition and age of reading for 200 verbs. Together with lemma and type frequencies from public lexical databases, all measures can be downloaded along with this article. Statistical analyses indicate that verb family size, morphological complexity, frequency, and verb regularity affect the semantic transparency and relatedness ratings as well as the age of acquisition estimates, indicating that these are relevant variables in psycholinguistic experiments. Although lexical paraphrases, vector-based similarity measures, and semantic association ratings may deliver complementary information, the interrater reliability of the semantic association ratings for each verb pair provides valuable information when selecting stimuli for psycholinguistic experiments.     

Formalization,implementation and validation of conversation policies using a protocol operational semantics

Coordination is crucial to the efficiency of multiagent systems. As it is traditionally achieved through message passing, agent communication languages (ACL) have become a major issue in the field. Yet, existing standard technologies, like KQML, are too rigid, and make too strong assumptions when defining their semantics. More importantly, they only allow the specification of individual messages, but hardly permit to deal with sequences of message exchanges—in other words conversations—which is unavoidable if one wants complex and yet efficient interactions to take place. Conversation policies should thus be heavily integrated with ACLs. We present a framework called POS (Protocol Operational Semantics), which is a unification and generalization of existing work on interaction protocols. It does allow the design (syntax and semantics) of dedicated ACLs together with policies or constraints over the use of messages. It is both powerful and particularly easy to implement. It is general enough to allow different types and granularities of constraints. Its similarity with traditional programming languages semantic specifications provides a basis for powerful validation of syntactic and semantic properties, some of which we present in this paper. As an illustration, we give an extended example of the formalization, implementation and validation of a non-trivial protocol, together with its dedicated ACL. Strangely enough, even though conversation policies is a hot topic in multiagent systems (numerous workshops are dedicated to this theme), very few papers deal with protocol validation. This paper makes an inventory of both syntactic and semantic properties conversation policies may satisfy and gives their possible definition. In order to highlight some of those properties we provide an application example and discuss related simulations.     

Deontic Interpreted Systems

We investigate an extension of the formalism of interpreted systems by Halpern and colleagues to model the correct behaviour of agents. The semantical model allows for the representation and reasoning about states of correct and incorrect functioning behaviour of the agents, and of the system as a whole. We axiomatise this semantic class by mapping it into a suitable class of Kripke models. The resulting logic, KD45_n ^i-j, is a stronger version of KD, the system often referred to as Standard Deontic Logic. We extend this formal framework to include the standard epistemic notions defined on interpreted systems, and introduce a new doubly-indexed operator representing the knowledge that an agent would have if it operates under the assumption that a group of agents is functioning correctly. We discuss these issues both theoretically and in terms of applications, and present further directions of work.     

Conceptual structure and the structure of concepts: a distributed account of category-specific deficits

We present a new account of the fine-grained structure of semantic categories derived from neuropsychological, behavioral, and developmental data. The account places theoretical emphasis on the functions of the referents of concepts. We claim (i) that the distinctiveness of functional features correlated with perceptual features varies across semantic domains; and (ii) that category structure emerges from the complex interaction of these variables. The representational assumptions that follow from these claims make strong predictions about what types of semantic information are preserved in patients showing category-specific deficits following brain damage. These claims are illustrated with a connectionist simulation which, when damaged, shows patterns of preservation of distinctive and shared functional and perceptual information which varies across semantic domains. The data model both dissociations between knowledge for artifacts and for living things and recent neuropsychological evidence concerning the robustness of functional information in the representation of concepts.     

A Conceptual Construction of Complexity Levels Theory in Spacetime Categorical Ontology: Non-Abelian Algebraic Topology, Many-Valued Logics and Dynamic Systems

A novel conceptual framework is introduced for the Complexity Levels Theory in a Categorical Ontology of Space and Time. This conceptual and formal construction is intended for ontological studies of Emergent Biosystems, Super-complex Dynamics, Evolution and Human Consciousness. A claim is defended concerning the universal representation of an item’s essence in categorical terms. As an essential example, relational structures of living organisms are well represented by applying the important categorical concept of natural transformations to biomolecular reactions and relational structures that emerge from the latter in living systems. Thus, several relational theories of living systems can be represented by natural transformations of organismic, relational structures. The ascent of man and other living organisms through adaptation, is viewed in novel categorical terms, such as variable biogroupoid representations of evolving species. Such precise but flexible evolutionary concepts will allow the further development of the unifying theme of local-to-global approaches to highly complex systems in order to represent novel patterns of relations that emerge in super- and ultra-complex systems in terms of compositions of local procedures. Solutions to such local-to-global problems in highly complex systems with ‘broken symmetry’ might be possible to be reached with the help of higher homotopy theorems in algebraic topology such as the generalized van Kampen theorems (HHvKT). Categories of many-valued, ?ukasiewicz-Moisil (LM) logic algebras provide useful concepts for representing the intrinsic dynamic ‘asymmetry’ of genetic networks in organismic development and evolution, as well as to derive novel results for (non-commutative) Quantum Logics. Furthermore, as recently pointed out by Baianu and Poli (Theory and applications of ontology, vol 1. Springer, Berlin, in press), LM-logic algebras may also provide the appropriate framework for future developments of the ontological theory of levels with its complex/entangled/intertwined ramifications in psychology, sociology and ecology. As shown in the preceding two papers in this issue, a paradigm shift towards non-commutative, or non-Abelian, theories of highly complex dynamics—which is presently unfolding in physics, mathematics, life and cognitive sciences—may be implemented through realizations of higher dimensional algebras in neurosciences and psychology, as well as in human genomics, bioinformatics and interactomics.     

句子结构与控制动词类型对题元角色指派的影响

扩展论元依存模型认为：语序固定语言的题元角色指派依赖论元的语序线索; 论元线索与动词论元表征不一致时, 题元角色再分析会产生额外的加工负荷。为检验该模型, 本研究采用眼动记录方法, 实验为2 (句子结构：居中、前置) × 2 (控制动词类型：主语控制、宾语控制)被试内设计。通过操纵句子结构, 考察汉语读者对语序线索的依赖性; 通过操纵控制动词类型, 考察汉语论元线索与动词论元表征的一致性对题元角色指派的影响。结果发现：(1)前置结构的句子在名词1、名词2和动词区域的阅读时间和回视次数多于居中结构的句子; (2)宾语控制动词条件在动词和动词后区域的第二遍阅读时间和总回视次数多于主语控制动词条件; (3)在居中结构中, 宾语控制动词条件在名词2和动词区域的阅读时间和回视次数多于主语控制动词条件; 在前置结构中, 宾语控制动词条件在动词后区域的阅读时间多于主语控制动词条件。结果支持扩展论元依存模型。     

Does Conversation Need Shared Language? Davidson and Gadamer on Communicative Understanding

In a rare discussion of Gadamer's work, Davidson takes issue with Gadamer's claim that successful communication requires that interlocutors share a common language. While he is right to see a difference between his own views and Gadamer's on this point, Davidson appears to have misunderstood what motivates Gadamer's position, conflating it with that of his more familiar conventionalist interlocutors. This paper articulates Gadamer's view of the role of language in communicative understanding as an alternative to both Davidson's and that of the conventionalist writers Davidson critiques. It is argued, first, that Gadamer employs a conception of what individuates a language, and thus of what it means for two speakers to “share” a language, that Davidson never considers. By emphasizing the role of “application” in the historical development of languages, Gadamer develops a view in which languages are distinguished not by their particular semantic or syntactic rules, but by subtle differences between the concepts they express. Second, it is argued that the instances of “asymmetrical” communication—communication between interlocutors who have different sets of concepts at their disposal—that motivate Gadamer's position pose a challenge to Davidson's account of interpretative charity.     

三语者语义通达中的跨语言重复启动效应

采用跨语言重复启动的任务范式探讨三语者的语义通达机制。被试为在广州学习汉语的印度尼西亚留学生48名。自变量是学习条件(包括学过与未学过), 因变量是单词判断的反应时和正确率。实验1探讨三语者在视觉与听觉呈现的三语词汇语义通达任务中是否会借助于一语对等词, 结果发现一语词汇在两种任务条件下都能够发挥中介作用, 此结果表明了三语者与双语者语义通达机制的一致性; 实验2探讨三语者在视觉与听觉呈现的三语词汇语义通达任务中是否会借助于二语对等词, 结果发现二语词汇只能在视觉呈现任务条件下发挥中介作用, 此结果表明二语词汇在三语语义通达过程中的中介作用具有限制性。本研究结果表明三语者的语义通达机制与双语者既有一致性, 也有其限制性。