Modeling Social Intelligence to Achieve Personal Goals in Agent-mediated Personal Knowledge Management Shahrinaz Ismail College of Graduate Studies Universiti Tenaga Nasional (UNITEN) Kajang, Selangor, Malaysia sha905@gmail.com Mohd Sharifuddin Ahmad College of Graduate Studies Universiti Tenaga Nasional (UNITEN) Kajang, Selangor, Malaysia sharif@uniten.edu.my Abstract— Personal intelligence has been coined by a number of authors and one of them relates the concept with agent- mediated personal knowledge management (PKM). The concept of agent-mediated PKM has recently been expanded to a bottom-up approach towards collective goals in organisational knowledge management (OKM). Exploiting this concept further from the perspective of crossing organisational boundaries and into the world wide web of social network, the concept of social intelligence is proposed. In this paper, a nodal approach to agent-mediated PKM is extended to model the concept of social intelligence in social network, in which knowledge workers work cooperatively with software agents in a virtual workspace called a node. This paper analyses the knowledge management processes by characterising these nodes as intelligent social entities. Keywords-social network; personal intelligence; social intelligence; software agents I. INTRODUCTION In knowledge management, “the knowledge management cycle involves detecting when new knowledge is generated, who may be interested in it, and delivering this knowledge to that people” [1]. This is the fundamental premise of our research on ‘knowing the knowledge expert’ through an agent-mediated Personal Knowledge Management (PKM) framework in which Semantic Web, or the Internet itself, is identified as one of the three ‘locations’ an individual knowledge worker would look at in their search of knowledge resources and experts [2]. Within the PKM framework, it is also identified that “people connection and networking is vital in locating knowledge experts” where ‘connecting to others’ is a process deemed important in an individual’s work processes. This whole concept revolves around the social capacity of knowledge workers, which include social network as a platform for social intelligence in knowledge management. Our motivation for this research is driven by the conviction that personal knowledge management could be implemented successfully if some intelligence is rendered to the existing social networking infrastructure. Previous researches have utilised the software agent technology in supplementing existing tools for knowledge management [5, 11, 12, 13]. The conceptual model for this socially- networked agent-mediated PKM processes is formalised by analysing a set of shared knowledge sources that individual knowledge workers or experts refer to in their daily work and their interactions across organisational boundaries within the virtual social network environment. This research utilises the software agent technology in this model but limited to mediation of online work processes, i.e. via computers and Internet technologies with the application of tacit knowledge embedded within the processes. With the conceptual model drawn from the analysis, the following hypotheses are conceived: H1: Agent-mediated PKM can be replicated to represent a function of an individual knowledge worker’s intelligence in social network. H2: The replicated agent-mediated PKM in social network can be integrated to manifest social intelligence. II. RELATED WORKS A. Social Intelligence Social intelligence has been postulated as a person’s “ability to get along with people in general, social technique or ease in society, knowledge of social matters, susceptibility to stimuli from other members of a group, as well as insight into temporary moods or underlying personality traits of strangers” [4]. In terms of artificial intelligence, software agents (i.e. a sub-domain of artificial intelligence) could be endowed with the notion of ‘sociability’ to mediate knowledge management on behalf of their human counterparts [5]. A case example of agent intelligence being used to find experts within social network is pointed out by Pujol, Sanguesa and Delgado [1]: “In the case of knowledge sharing communities formed by a set of people with expertise in a given domain, not only it is important that agents be able to detect which people (represented by other agents) possess the adequate expertise for solving the problem at hand but it is also crucial to assess to which extent some of the members are recognised as experts by their colleagues in the community”. The key elements that make up social network into a potential platform for socially intelligent agent to locate knowledge experts are trust and reputation of experts known among the network members. Social intelligence enables the agent to understand and manage with other agents and it should work together with individual intelligence [6] in enabling it to achieve its