Intelligent autonomous agents (IAA) are proliferating and rapidly evolving due to the exponential growth in computational power recent advances, for instance, artificial intelligence research. Ranging from chatbots, over personal virtual assistants medical decision-aiding systems, self-driving or self-piloting whether unbeknownst users not, IAA increasingly integrated into many aspects of daily...

In this paper we suggest an approach for developing programmable intelligent virtual agents over Unreal. We propose various techniques for manipulating creating and modifying Unreal Engine’s actors, as well as a method for developing an additional external controller responsible for intelligent decision making by creating programmable agents. Key-Words: Virtual Agents, Virtual Environments, Tas...

This paper reviews FreeWill and other AI architectures that have contributed to the ideas, which underlie it. “FreeWill” proposes and implements a cognitive architecture designed for easy creation of animated scenes with many autonomous agents interacting in various ways. The generation of animated human figures especially in crowd scenes has many applications in such domains as the special eff...

In the context of an Agent and Multi-Agent Systems course, satisfying the students demands for hands-on practice presents an interesting challenge. Educators have reported a variety of environments and techniques they use in order to increase active learning. In this paper we record our experience using NetLogo as part of the practical coursework that students need to carry out within an Intell...

We briefly consider thae nature of a social agent, snmmarise work carried out at Salford, and consider the communication requirements for different levels of socila organisation. We examine the ngineering implications for robot experienmts of these communication requirements. What are social agents? We consider social agents in general to be those involved in interaction between same species in...

Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a hard problem because it depends mostly on the behavior of the others. In this work, interaction among agents is represented as a repeated two-player game, where the agents’ objective is to look for a strategy that maximi...

Theoretical models of artificial general intelligence, such as AIXI [3], typically consider an intelligent agent to have unlimited computational resources, allowing it to keep a perfect memory of its entire interaction history with its environment. In the real world, an agent’s memory is part of the environment, which means that the latter can modify the former. This paper develops a theoretica...

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