Personal agents are proactive and adaptable intelligent agents who meet the demands of individuals. The use of personal agents will become fully prominent when the intelligent agents are provided with mechanisms for understanding the contents of document they access. Making it possible for the intelligent agents to understand semantics of the documents published on the Web is the central task i...

Web 3.0 involves “intelligent” web applications that utilize natural language processing, machine-based learning and reasoning, and intelligent techniques to analyze and understand user behavior. In this research, we empirically assess a specific form of Web 3.0 application in the form of intelligent agents that offer assistance to users in the virtual world. Using media naturalness theory, we ...

The agent can be categorized into two types; one is known as an intelligent agent and the second is malicious agent, called computer viruses. These types of agents have some common characteristics; both are intelligent by nature and both have the properties reproduction and transfer from one host to another host in the network, called transferability. The fundamental difference between these ag...

he battlespace is increasingly dynamic and challenging. The volume of information available to decision-makers is ever increasing. The uncertainties about the battlespace, whether due to cyber attack, miscommunication, mechanical fault, or other problem, prevents rapid, effective, informed decision-making. The mere application of so-called “big data” technologies cannot address the scope of the...

Negotiation is a decentralized decision-making process that seeks to find an agreement which will satisfy the requirements of two or more parties in the presence of limited common knowledge and conflicting preferences. Negotiation participants are agents who negotiate on their own behalf or represent the interests of their principals. When electronic negotiations enter the stage, these agents c...

he battlespace is increasingly dynamic. The volume of information available to all decision-makers is increasing. The uncertainties about the battlespace, whether due to cyber attack, miscommunication, mechanical fault, or other problems, prevents rapid, effective, informed decision-making. Clearly, the mere application of so-called “big data” technologies cannot address the scope of the coming...

The paper presents a detailed set of intelligent agents for the modelling of learner’s emotions in intelligent tutoring systems. Functions and interaction of the agents, the overall decision making process and the involvement of the agents in the affective loop of an intelligent tutoring system are described. The most widespread categories of inputs for the determination of a learner’s emotiona...

This paper presents work-in-progress towards the development of an intelligent mobile agent-based e-marketplace system called InterMarket. InterMarket aims at enabling mobile access and automated trading in e-marketplaces based on integration of mobile agents and intelligent decision-making agents offered as an add-on component to a commercial e-marketplace platform. The paper overviews the pro...

Social power, regardless of its pervasiveness and acknowledged impact in a multitude of human social processes remains little explored in virtual agents. To address this gap in social intelligence and consequently virtual agent believability, we introduce the cognitive processes that underlie social power intelligence. In conceptualizing these we identify three core social power components requ...

Software agents have been recognized as one of the main building blocks of the emerging infrastructure for the Semantic Web, but their relationship with more standard components, such as Web servers and clients, is still not clear. At the server side, a possible role for agents is to enhance the capabilities of servers using their intelligence to provide more complex services and behaviors. In ...