Software intelligent agents, or simply agents, are one of the most important research areas in computer science and information technology. Plenty of work has been done on different aspects of agents development. This paper presents a survey of research activities in the development of intelligent agents. The survey categorizes the agent related work into three main theoretical based areas: (1)...

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use ...

A definition of language is proposed in which language is a lowbandwidth channel that can increase agent rewards in a reinforcement learning setting, and in which agents can learn to produce language and teach it to other agents. Societies of agents are being modeled by economists to understand economic instability and other non-equilibrium phenomena. I hypothesize a divergent distribution of i...

Computer traffic simulation is important for making new traffic-control strategies. Microscopictraffic simulators can model traffic flow in a realistic manner and are ideal for agent-basedvehicle control. In this paper we describe a model of a reactive agent that is used to control asimulated vehicle. The agent is capable of tactical-level driving and has different driving styles.<l...

When advanced AIs begin to choose their own destiny, one decision they will need to make is whether or not to transfer or copy themselves (software and memory) to new hardware devices. For humans this possibility is not (yet) available and so it is not obvious how such a question should be approached. Furthermore, the traditional singleagent reinforcement-learning framework is not adequate for ...

In E-Commerce today webportals are important and also intelligent agents grow in significance. Our approach is to combine them in designing webportals and interfaces for both users and agents. In this paper we discuss the problems in automatically accessing portals and possible solutions for them through using OOM methods. The solution selected by us, using an XML-based standard and dynamically...

Most of the work since submitting the previous report has concentrated on software implementation. We have developed a platform in which artificial creatures composed of rigid three-dimensional (3D) blocks and controlled by neural networks may interact physically with their environment and with each other. The design of this platform is mostly based on the experiments of Karl Sims [6, 5], with ...

The perspective of modelling agents rather than using them for a specificed purpose entails a difference in approach. In particular an emphasis on veracity as opposed to efficiency. An approach using evolving populations of mental models is described that goes some way to meet these concerns. It is then argued that social intelligence is not merely intelligence plus interaction but should allow...

In this paper we argue that learning or adaptation ability should be included in the basic set of features characterizing an intelligent agent in design. We propose a collection of attributes describing agents, which are grouped into several categories. Next, we present the results of a detailed study of all agents for design, which were discussed during the First International Workshop on Agen...

The topic of getting machines to play classical board games at the same level as top ranking human players, is a research area of artificial intelligence that has received a considerably amount of attention from researchers during the years. But although the area to this point has received quite a lot of attention, and there exist examples of computers that has defeated top ranking human player...