An Argumentation-Based Perspective Over the Social IoT

Abstract

The crucial role played by social interactions between smart objects in the Internet of Things is being rapidly recognized by the Social Internet of Things (SIoT) vision. In this paper, we build upon the recently introduced vision of Speaking Objects -"things" interacting through argumentation -to show how different forms of human dialogue naturally fit cooperation and coordination requirements of the SIoT. In particular, we show how speaking objects can exchange arguments in order to seek for information, negotiate over an issue, persuade others, deliberate actions, and so on, namely, striving to reach consensus about the state of affairs and their goals. In this context, we illustrate how argumentation naturally enables such a form of conversational coordination through practical examples and a case study scenario.

An Agent-Based Model of Task-Allocation and Resource-Sharing for Social Internet of Things

“…Literature on things maintaining a network of their own is quite limited. The closest we get is the concept of speaking objects [38], which actually focuses on augmenting social objects with humans' speaking attributes. Specific to modalities of IoT services, an opportunistic services modeling configuration framework is proposed by Fortino et al [39,40], and via aggregate computing, this model was used for crowd detection and steering [41]; however, aggregation and opportunism was implemented via a system's viewpoint.…”

Pervasive computing middleware: current trends and emerging challenges

“…As of today, in the pervasive computing and IoT arenas, sensors are treated almost exclusively as producers of raw data streams and events. Advancements in machine learning techniques, and in the increase of computational power that can be embedded in everyday sensors and objects, will soon make it possible for such devices to locally analyze and classify streams of sensed data to extract relevant semantic knowledge (Lippi et al 2018). We can also expect that such capabilities will evolve to recognize more complex situations, making them capable of causally connecting individual patterns into composite situations, that is, making assertions about what is happening around them.…”

“…What are now small devices capable of simply sending sensor streams to a cloud database or receiving simple actuation commands will soon become highly intelligent and integrated embedded systems capable of autonomous decisions and able to "speak" to one another at a high level. They will "argue" and "arbitrate" myriad situations while negotiating how to cooperatively (or competitively) achieve their goals (on behalf of their human users) (Lippi et al 2018). In this context, users will not simply "invoke" services by pushing some button or by launching some app that will trigger a composition of devices' functionalities according to some static design pattern.…”

Creating Personalized Recommendations in a Smart Community by Performing User Trajectory Analysis through Social Internet of Things Deployment

“…The Social Internet of Things (SIoT) is an emerging paradigm of the Internet of Things (IoT) in which heterogeneous IoT devices can communicate with each other, collaborate on behalf of their owners, establish relationships based on common interests, and autonomously perform service trading. SIoT is expected to enhance the features of existing distributed systems, such as service discovery and composition [1][2][3], information management [4][5][6][7], and service trustworthiness management [8][9][10]. Although SIoT has begun to be adopted in some domains, such as smart vehicles [11][12][13][14], smart homes [15], smart factories [16], and integrated transportation [17], current SIoT systems encounter numerous challenges that affect their usability and reliability in existing SIoT domains [18,19].…”