Psycholinguistic and neurolinguistic investigations of scalar implicature

The present study examines the representation and composition of meaning in scalar implicatures. Scalar implicature is the phenomenon whereby the use of a less informative term (e.g., some) is inferred to mean the negation of a more informative term (e.g., to mean not all). The experiments reported here investigate how the processing of the implicature-based aspect of meaning (e.g., the interpretation of some as meaning not all) differs from other types of meaning processing, and how that aspect of meaning is initially realized. The first three experiments measure event-related potentials (ERPs) to examine whether inferential pragmatic aspects of meaning are processed using different mechanisms than lexical or combinatorial semantic aspects of meaning, and whether inferential aspects of meaning can be realized rapidly. Participants read infelicitous quantifiers for which the semantic meaning (at least one of) was correct with respect to the context but the pragmatic meaning (not all of) was not, compared to quantifiers for which the semantic meaning was inconsistent with the context and no additional pragmatic meaning is available. Across experiments, quantifiers that were pragmatically inconsistent but not semantically inconsistent with the context elicited a broadly distributed, sustained negative component. This sustained negativity contrasts with the N400 effect typically elicited by nouns that are incongruent with their context, suggesting that the recognition of scalar implicature errors elicits a qualitatively different ERP signature than the recognition of lexico-semantic errors. The effect was also distinct from the ERP response elicited by quantifiers that were semantically inconsistent with a context. The sustained negativity may reflect cancellation of the pragmatic inference and retrieval of the semantic meaning. This process was also found to be independent from lexico-semantic processing: the N400 elicited by lexico-semantic violations was not modulated by the presence of a pragmatic inconsistency. These findings suggest there is a dissociation between the mechanisms for processing combinatorial semantic meaning and those for inference-based pragmatic meaning, that inferential pragmatic meaning can be realized rapidly, and that the computation of meaning involves continuous negotiation between different aspects of meaning. The next set of experiments examined how scalar implicature-based meanings are realized initially. Default processing accounts assume that the interpretation of some of as meaning not all of is realized easily and automatically (regardless of context), whereas context-driven processing accounts assume that it is realized effortfully and only in certain contexts. In two experiments, participants' self-paced reading times were recorded as they read vignettes in which the context did or did not bias the participants to make a scalar inference (to interpret some of as meaning not all of). The reading times in the first experiment suggested that the realization of the inference was influenced by the context: reading times to a target word later in the vignette were facilitated in contexts in which the scalar inference should be realized but not in contexts where it should not be realized. Importantly, however, reading times did not provide evidence for processing cost at the time the inference is realized, contrary to the predictions of context-driven processing accounts. The results raise the question of why inferencing occurs only in certain contexts if it does not involve extra processing effort. In the subsequent experiment, reading times suggested that the inference may not have been realized when participants engaged in a secondary task that increased processing load. These results, together with the results of other recent experiments, suggest that inferencing may be effortless in certain contexts but effortful with other contexts, and not computed at all in still other contexts, depending on the strength of the bias created by the context. These findings may all be accountable for under a recently-proposed constraint-based processing model of scalar implicature

KEMNAD: A Knowledge Engineering Methodology for Negotiating Agent Development

Automated negotiation is widely applied in various domains. However, the development of such systems is a complex knowledge and software engineering task. So, a methodology there will be helpful. Unfortunately, none of existing methodologies can offer sufficient, detailed support for such system development. To remove this limitation, this paper develops a new methodology made up of: (1) a generic framework (architectural pattern) for the main task, and (2) a library of modular and reusable design pattern (templates) of subtasks. Thus, it is much easier to build a negotiating agent by assembling these standardised components rather than reinventing the wheel each time. Moreover, since these patterns are identified from a wide variety of existing negotiating agents(especially high impact ones), they can also improve the quality of the final systems developed. In addition, our methodology reveals what types of domain knowledge need to be input into the negotiating agents. This in turn provides a basis for developing techniques to acquire the domain knowledge from human users. This is important because negotiation agents act faithfully on the behalf of their human users and thus the relevant domain knowledge must be acquired from the human users. Finally, our methodology is validated with one high impact system

Knowledge web: realising the semantic web... all the way to knowledge-enhanced multimedia documents

The semantic web and semantic web services are major efforts in order to spread and to integrate knowledge technology to the whole web. The Knowledge Web network of excellence aims at supporting their developments at the best and largest European level and supporting industry in adopting them. It especially investigates the solution of scalability, heterogeneity and dynamics obstacles to the full development of the semantic web. We explain how Knowledge Web results should benefit knowledge-enhanced multimedia applications

The Epistemology of Anger in Argumentation

While anger can derail argumentation, it can also help arguers and audiences to reason together in argumentation. Anger can provide information about premises, biases, goals, discussants, and depth of disagreement that people might otherwise fail to recognize or prematurely dismiss. Anger can also enhance the salience of certain premises and underscore the importance of related inferences. For these reasons, we claim that anger can serve as an epistemic resource in argumentation

The Semantic Grid: A future e-Science infrastructure

e-Science offers a promising vision of how computer and communication technology can support and enhance the scientific process. It does this by enabling scientists to generate, analyse, share and discuss their insights, experiments and results in an effective manner. The underlying computer infrastructure that provides these facilities is commonly referred to as the Grid. At this time, there are a number of grid applications being developed and there is a whole raft of computer technologies that provide fragments of the necessary functionality. However there is currently a major gap between these endeavours and the vision of e-Science in which there is a high degree of easy-to-use and seamless automation and in which there are flexible collaborations and computations on a global scale. To bridge this practice–aspiration divide, this paper presents a research agenda whose aim is to move from the current state of the art in e-Science infrastructure, to the future infrastructure that is needed to support the full richness of the e-Science vision. Here the future e-Science research infrastructure is termed the Semantic Grid (Semantic Grid to Grid is meant to connote a similar relationship to the one that exists between the Semantic Web and the Web). In particular, we present a conceptual architecture for the Semantic Grid. This architecture adopts a service-oriented perspective in which distinct stakeholders in the scientific process, represented as software agents, provide services to one another, under various service level agreements, in various forms of marketplace. We then focus predominantly on the issues concerned with the way that knowledge is acquired and used in such environments since we believe this is the key differentiator between current grid endeavours and those envisioned for the Semantic Grid

Miscommunication in the institutional context of the broadcast news interview : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Psychology at Massey University, Palmerston North, New Zealand

This study examined the pattern and relative success of linguistic interaction in the Broadcast News Interview (BNI). BNI is modelled as a genre of institutional communication. The psychological and functional characteristics of the BNI were examined from the viewpoint of how communicative conventions that normally regulate interview performance may, at times, impede effective communication. The BNI is intended to transfer information from an expert witness to an interested, though relatively uninformed audience. The interviewer is supposed to act as both conduit and catalyst. Pragmatic properties of the interlocutors' speech as they orient themselves towards the context of the conversation was analysed in order to reveal the manner in which prior assumptions or beliefs may lead to faulty inferences. The notion of miscommunication is used to describe and explain the faults associated with processes of representing the illocutionary force of an utterance, rather than deficiencies in pronunciation or auditory sensation and perception. Opting for a qualitative analysis, an attempt was made to ground explanations in relevant theoretical models of interpersonal communication and communication failure. Results indicate that the conventions that distinguish the BNI from more mundane types of interaction impede successful communication. The study highlights that participants who wish to attain their communicative goal must be more aware of the functional procedures of the BNI and anticipate impediments to successful communication

Beliefs and Conflicts in a Real World Multiagent System

In a real world multiagent system, where the agents are faced with partial, incomplete and intrinsically dynamic knowledge, conflicts are inevitable. Frequently, different agents have goals or beliefs that cannot hold simultaneously. Conflict resolution methodologies have to be adopted to overcome such undesirable occurrences. In this paper we investigate the application of distributed belief revision techniques as the support for conflict resolution in the analysis of the validity of the candidate beams to be produced in the CERN particle accelerators. This CERN multiagent system contains a higher hierarchy agent, the Specialist agent, which makes use of meta-knowledge (on how the conflicting beliefs have been produced by the other agents) in order to detect which beliefs should be abandoned. Upon solving a conflict, the Specialist instructs the involved agents to revise their beliefs accordingly. Conflicts in the problem domain are mapped into conflicting beliefs of the distributed belief revision system, where they can be handled by proven formal methods. This technique builds on well established concepts and combines them in a new way to solve important problems. We find this approach generally applicable in several domains

A Configurable Matchmaking Framework for Electronic Marketplaces

E-marketplaces constitute a major enabler of B2B and B2C e-commerce activities. This paper proposes a framework for one of the central activities of e-marketplaces: matchmaking of trading intentions lodged by market participants. The framework identifies a core set of concepts and functions that are common to all types of marketplaces and can serve as the basis for describing the distinct styles of matchmaking employed within various market mechanisms. A prototype implementation of the framework based on Web services technology is presented, illustrating its ability to be dynamically configured to meet specific market needs and its potential to serve as a foundation for more fully fledged e-marketplace frameworks