Cultural route to the emergence of linguistic categories

Abstract. Designing user interfaces for ubiquitous computing applications is a challenging task. In this paper we discuss how to build intelligent interfaces. The foundations are usability principles that are valid on very general levels. We present a number of established methods for the design process that can help to meet these principle requirements. In particular participatory and iterative so-called human centered approaches are important for interfaces in ubiquitous computing. In particular the question how to make interactional interfaces more intelligent is not trivial and there are multiple approaches to enhance either the intelligence of the system or that of the user. Novel interface approaches, presented herein, follow the idea of embodied interaction and put particular emphasis on the situated use of a system and the mental models humans develop in context.

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“…To remedy this new approaches, e.g. in the form of human computation [2], can be applied [31], as well as so-called category games [26].…”

Section: Discussionmentioning

confidence: 99%

Design Principles for Embodied Interaction: The Case of Ubiquitous Computing

Malaka

Porzel

2009

KI 2009: Advances in Artificial Intelligence

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“…It has been argued that the social distribution of individuals is an important factor in the evolution of languages [13,6,10]. This distribution is modeled in our MAS by the underlying interaction topology.…”

Section: Interaction Topologiesmentioning

confidence: 99%

“…Several studies show that the social structure of a population affects how a language emerges [13,6,10]. This motivates that we further explore how different complex networks, such as small-world [19] and scale-free [1], as underlying topologies of our MAS may influence the adaptation mechanism.…”

Section: Introductionmentioning

confidence: 99%

An Infection-Based Mechanism in Large Convention Spaces

Salazar

Rodŕıguez-Aguilar

Arcos

2010

Coordination, Organizations, Institutions and Norms in Agent Systems V

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Abstract. Regulating the behavior of autonomous agents is necessary to solve coordination problems and minimize conflicts in multi-agent systems (MAS). It is well known that in practice centralized approaches are not viable to accomplish this. Thus, distributed regulating mechanisms, such as mechanisms for the emergence of social conventions, are highly needed. Nevertheless, existing studies have not focused on determining how the size of the convention space may influence the emergence of conventions. To that end in this paper we apply a mechanism for the distributed, dynamic emergence of social conventions, to a problem with a large convention space: finding a common vocabulary (lexicon) for the agents of a MAS that allows them to perfectly communicate with neither ambiguity nor inconsistencies. Therefore, we empirically show that the mechanism can cope with large convention spaces.

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“…However, it remains to be explained how those new semiotic conventions can be generated in the absence of an a priori common code. Computer simulations, using reinforcement-learning algorithms, have shown that communication systems can arise without the presence of common knowledge (Barr, 2004;Kirby & Hurford, 2002;Puglisi, Baronchelli, & Loreto, 2008;Steels, 2003). For instance, two computer agents can share novel symbols by virtue of guesses and explicit performance feedback (Steels, 2003).…”

Section: Existing Accounts Of Human Communicationmentioning

confidence: 99%