1,721,012 research outputs found
The IEEE-FIPA Standard on the Design Process Documentation Template
No full textNowadays, it is a matter of fact that a “one-size-fit-all” methodology or design process useful and fitting every kind of problem, situation, or design context does not exist. (Situational) Method Engineering (SME) discipline aims at determining techniques and tools for developing ad hoc design methodologies. SME mainly and highly focuses on the reuse of portion of existing design processes or methodologies (the method fragments). In order to have means for creating SME techniques and tools and for creating new design processes, some key elements are needed: a unique process metamodel for representing design processes and fragments, a proper template for the description of AO design processes and for the description of method fragments. The FIPA Design Process Documentation and Fragmentation Working Group gave an important contribution to the SME research area in terms of the IEEE-FIPA standard Design Process Documentation Template (DPDT) that provides a standardized template for the description of design processes
Towards filling the gap between AOSE methodologies and infrastructures: requirements and meta-model
Full text linkMany different methodologies have been proposed
in Agent Oriented Software Engineering (AOSE) literature, and
the concepts they rely on are different from those adopted when
implementing the system. This conceptual gap often creates
inconsistencies between specifications and implementation. We
propose a metamodel-based approach that aims to bridge this
gap, resulting in an integrated meta-model that merges the best
aspects of four relevant AOSE methodologies (GAIA, Tropos,
SODA and PASSI). The meta-model assembly followed a welldefined
process: for each methodology to be integrated in the
meta-model, we elicited the requirements, identified a set of
process fragments, thoroughly compared the concepts belonging
to the various fragments, and finally composed the meta-model
Introduction
No full textNowadays, software engineers face a wide range of particular application domains such as electronic commerce, enterprise resource planning, mobile computing, self-organisation, pervasive and adaptive computing, etc. The resulting heterogeneity and required functionalities call for complex systems and open architectures that may evolve dynamically over time so as to accommodate new components and meet new requirements. This is probably one of the main reasons why the agent metaphor and agent-based computing are gaining momentum in these areas
Explainability and self-disclosure for robot ethical introspection
Full text linkHuman-robot or human-AI interaction systems require a high degree of autonomy, proactivity, and adaptvity. The decisions that intelligent systems must make are highly dependent on the application context and trust is an essential element in task assignment. Explainability and ethical introspection capabilities are important in building trust and understanding in artificial processes. In this paper, we present our ongoing work aimed at equipping robots with ethical introspection capabilities when interacting with humans by designing and implementing explainable and self-disclosure capabilities. Using a computational model of ethical introspection that incorporates theories of psychology, ethics, and AI, we built robots that examine and reflect on their actions to evaluate and validate them. We use the Belief-Desire-Intention (BDI) agent paradigm and related programming languages along with the speech act mechanism to improve and extend the robot’s ethical values to better guide its decision-making process and the impact it has on humans
The SODA Methodology: Meta-model and Process Documentation
No full textThe SODA methodology deals with MAS analysis and design, and focuses on critical issues such as agent coordination and MAS-environment interaction. After its first formulation, in order to further meet the needs of complex MAS engineering, SODA was extended to embody both the layering principle and the Agents & Artifacts (A&A) meta-model. As a result, both the SODA meta-model and the SODA process were re-defined, also to include two new phases—Requirement Analysis and Architectural Design. This chapter is then devoted to the documentation of the complete SODA process according to the FIPA standard
The Gaia Methodology Process
No full textGaia was the first complete methodology proposed for the development of multi-agent systems (MASs), and was subsequently improved to designing and building systems in complex, open environments. Gaia focuses on the use of the organizational abstractions to drive the analysis and design of MAS. Gaia models both the macro (social) aspects and the micro (agent internals) aspects of MAS, and devotes a specific effort to model the organizational structure and the organizational rules that govern the global behavior of the agents in the organization. In this chapter we present the complete documentation of the Gaia process following the IEEE-FIPA Documentation Template
Special track on: Agent-oriented software engineering methodologies and systems
No full textEditorial Message: Special Track on Agent-Oriented Software Engineering Methodologies and System
Robot's Inner Speech Effects on Trust and Anthropomorphic Cues in Human-Robot Cooperation
Full text linkInner Speech is an essential but also elusive human psychological process which refers to an everyday covert internal conversation with oneself. We argue that programming a robot with an overt self-talk system, which simulates human inner speech, might enhance human trust by improving robot transparency and anthropomorphism. For this reasons, this work aims to investigate if robot’s inner speech, here intended as overt self-talk, affects human trust and anthropomorphism when human and robot cooperate. A group of participants was engaged in collaboration with the robot. During cooperation, the robot talks to itself. To evaluate if the robot’s inner speech influences human trust, two questionnaires were administered to each participant before (pre-test) and after (post-test) the cooperative session with the robot. Preliminary results evidenced differences between the answers of participants in the pre-test and post-test assessment, suggesting that robot’s inner speech influences human trust. Indeed, participant’s levels of trust and perception of robot anthropomorphic features increase after the experimental interaction with the robot
Arguments and Artifacts for Dispute Resolution
Full text linkIn a social context cultural differences, individual interests, and partial awareness are often the causes of disputes. Alternative Dispute Resolution (ADR) is usually considered to be alternative to litigation, and can also be used to allow disputing parts to find an agreement. A dispute resolution is not an easy task and usually involves more entities including mediator or arbitrator with multiple dialogue sessions.
In the paper we focus the attention on dispute resolution system in artificial society proposing a model and a technology to support the persuasive processes. The persuasion is the principal form dialogue used in an ADR system where agents exchange arguments to support their positions.
The general architecture proposed to build an ADR system exploits two artifacts abstractions — Co-Argumentation Artifact and Dialogue Artifact — that provide the right abstractions to coordinate the agents during the argumentative process. The technological support for the artifacts is provided by the TuCSoN infrastructure, also exploiting a meta-programming technique in Prolog. Finally, in the paper we present a simplified example of the execution of a persuasion dialogue ground on the commitments
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