The document provides an introduction to agent-based systems, including definitions of key concepts like agents, intelligent agents, and multi-agent systems. It also outlines several applications of agent-based systems, organizations related to promoting agent standards, and various agent development kits for creating agent-based applications.

1. Introduction to Agent-based System Bambang Purnomosidi D. P. http://bpdp.name This material was taken from my website. Have a look here: http://bpdp.name/content:book:agent-based-system:introduction:start

3. Agent and Regular Software

4. Application of Agent-based System

5. Organization related to Agent-based System.

6. Agent Development Kit

8. Here we will discuss only about (intelligent) software agent

10. Agent in computer science and industry basically almost has the same understanding with definition in the real world, only in computer science it refers to a software entity while in the real world it refers to person, instrument, something, or any other object

13. An agent is something that acts in an environment, interact with the environment with a body, receive information through their sensors, and act in the world through their actuators, also called effectors (David Poole and Alan Mackworth, 2010)

14. An agent is a computer system that is situated in some environment, and that is capable of autonomous action in this environment in order to meet its design objectives (M. Wooldridge and N.R. Jennings, 1995).

16. Agent is central in AI for obvious reasons. AI does always try to make thing which is intelligent. This thing is not necessary a machine and it can be considered as agent. Therefore we can conclude that agent is the ultimate objective of AI.

22. Other Typology

23. Other Typology (cont.)

26. Social ability : agents should be able to interact, when they deem appropriate, with other software agents and humans in order to complete their own problem solving and to help others with their activities where appropriate.

27. Responsiveness : agents should perceive their environment (which may be the physical world, a user, a collection of agents, the INTERNET, etc.) and respond in a timely fashion to changes which occur in it.

28. Proactiveness : agents should not simply act in response to their environment, they should be able to exhibit opportunistic, goal-directed behaviour and take the initiative where appropriate.

30. Personal software assistants : an agent play the role of proactive assistants to users working with some application.

32. Agents for distributed sensing

33. Agents for information retrieval and management

34. Agents for e-commerce

35. Agents for human-computer interfaces

36. Agents for virtual environments

37. Agents for social simulation

38. Agents for industrial systems management

39. Agents for spacecraft control

42. http://www.software-agent.eu/

44. AgentLink is Europe's IST-funded Coordination Action for agent-based computing. As such, AgentLink coordinates research and development activities in the area of agent-based computer systems on the behalf of the European Commission. AgentLink supports a range of activities aimed at raising the profile, quality, and industrial relevance of agent systems research and development in Europe, and promoting awareness and adoption of agent technologies.

49. http://www.usf.uos.de/projects/famoja/

51. Ready to use Agents for displaying data in charts

52. Agents and Viewers for visualizing models where Agents are situated in a grid environment

58. MadKit is an open source modular and scalable multiagent platform written in Java and built upon the AGR (Agent/Group/Role) organizational model. MadKit agents play roles in groups and thus create artificial societies.

62. eXAT is available at http://www.diit.unict.it/users/csanto/exat/index.html

64. represent and use appropriate forms of knowledge, such as procedural, declarative, episodic, and possibly iconic

65. employ the full range of problem solving methods

66. interact with the outside world, and

67. learn about all aspects of the tasks and its performance on them.

69. An open source project which its aim is to build a multiagent and organization platform using Python, based on XMPP technology.

71. Swarm is a software package for multi-agent simulation of complex systems, originally developed at the Santa Fe Institute. Swarm is intended to be a useful tool for researchers in the study of agent based models. Swarm software comprises a set of code libraries which enable simulations of agent based models to be written in the Objective-C or Java computer languages. These libraries will work on a very wide range of computer platforms. The basic architecture of Swarm is the simulation of collections of concurrently interacting agents: with this architecture, we can implement a large variety of agent based models. The Swarm software is available to the general public under GNU licensing terms. Swarm is experimental software, which means that it is complete enough to be useful but will always be under development.

72. Finish. Thank you for your kind attention. Question(s)? - I hope no.