18,393 research outputs found
Computational Mechanism Design: A Call to Arms
Game theory has developed powerful tools for analyzing decision making in systems with multiple autonomous actors. These tools, when tailored to computational settings, provide a foundation for building multiagent software systems. This tailoring gives rise to the field of computational mechanism design, which applies economic principles to computer systems design
Towards Social Identity in Socio-Cognitive Agents
Current architectures for social agents are designed around some specific
units of social behaviour that address particular challenges. Although their
performance might be adequate for controlled environments, deploying these
agents in the wild is difficult. Moreover, the increasing demand for autonomous
agents capable of living alongside humans calls for the design of more robust
social agents that can cope with diverse social situations. We believe that to
design such agents, their sociality and cognition should be conceived as one.
This includes creating mechanisms for constructing social reality as an
interpretation of the physical world with social meanings and selective
deployment of cognitive resources adequate to the situation. We identify
several design principles that should be considered while designing agent
architectures for socio-cognitive systems. Taking these remarks into account,
we propose a socio-cognitive agent model based on the concept of Cognitive
Social Frames that allow the adaptation of an agent's cognition based on its
interpretation of its surroundings, its Social Context. Our approach supports
an agent's reasoning about other social actors and its relationship with them.
Cognitive Social Frames can be built around social groups, and form the basis
for social group dynamics mechanisms and construct of Social Identity
Delivering Virtual Ethnicity Drama: A Pedagogical Design For Bridging Digital And Diversity Barriers
This study examines an original dramaturgical method for creating virtual world experience called virtual world drama. The instructional focus is improving students aptitude for analyzing ethnic identity by instilling both conceptual and multicultural competency. An exploratory research method is used, relying on observation (disguised and non-disguised) and survey information collected from a student sample spanning four academic quarters. Findings suggest that virtual world drama deepens the specificity of ethnic culture analysis and broadens the spectrum of ethnic culture awareness. In addition learning outcomes are evaluated based on improvements in ethnic aptitude collaboration, competence, and community
Rational Trust Modeling
Trust models are widely used in various computer science disciplines. The
main purpose of a trust model is to continuously measure trustworthiness of a
set of entities based on their behaviors. In this article, the novel notion of
"rational trust modeling" is introduced by bridging trust management and game
theory. Note that trust models/reputation systems have been used in game theory
(e.g., repeated games) for a long time, however, game theory has not been
utilized in the process of trust model construction; this is where the novelty
of our approach comes from. In our proposed setting, the designer of a trust
model assumes that the players who intend to utilize the model are
rational/selfish, i.e., they decide to become trustworthy or untrustworthy
based on the utility that they can gain. In other words, the players are
incentivized (or penalized) by the model itself to act properly. The problem of
trust management can be then approached by game theoretical analyses and
solution concepts such as Nash equilibrium. Although rationality might be
built-in in some existing trust models, we intend to formalize the notion of
rational trust modeling from the designer's perspective. This approach will
result in two fascinating outcomes. First of all, the designer of a trust model
can incentivise trustworthiness in the first place by incorporating proper
parameters into the trust function, which can be later utilized among selfish
players in strategic trust-based interactions (e.g., e-commerce scenarios).
Furthermore, using a rational trust model, we can prevent many well-known
attacks on trust models. These two prominent properties also help us to predict
behavior of the players in subsequent steps by game theoretical analyses
OperA/ALIVE/OperettA
Comprehensive models for organizations must, on the one hand, be able to specify global goals and requirements but, on the other hand, cannot assume that particular actors will always act according to the needs and expectations of the system design. Concepts as organizational rules (Zambonelli 2002), norms and institutions (Dignum and Dignum 2001; Esteva et al. 2002), and social structures (Parunak and Odell 2002) arise from the idea that the effective engineering of organizations needs high-level, actor-independent concepts and abstractions that explicitly define the organization in which agents live (Zambonelli 2002).Peer ReviewedPostprint (author's final draft
Thatâs Not Who I Am! Investigating the Role of Uniqueness and Belongingness for Designing Successful Personalized Recommendations
Although many firms rely on personalization to enhance the user experience of their digital service, their efforts might backfire if users feel misunderstood by the personalized offerings. So far, the psychological processes underlying the phenomenon of feeling misunderstood by personalization systems and potential means to alleviate this perception remain largely uninvestigated. Building on the psychological concepts of uniqueness and belongingness, we propose a framework to investigate how transparency impacts usersâ feeling of being misunderstood by personalization systems. To test our research model, we conduct an online experiment using Spotifyâs âDiscover Weeklyâ playlist. The results show that considering not only usersâ uniqueness but especially their belongingness is decisive to avoid misunderstanding. Further, we find that transparent explanations of the systemâs inner workings elicit a feeling of control among users, which fosters the perception that both usersâ uniqueness and belongingness are considered, resulting in less misunderstanding and continued usage
- âŚ