 | |
| Company type | Incentive Pty. Ltd. |
|---|---|
| Industry | Intelligent agent |
| Founded | 1988 Australia |
| Headquarters | Australia |
In Australia, the Australian Artificial Intelligence Institute (Australian AI Institute, AAII, or A2I2) was a government-funded research and development laboratory for investigating and commercializing artificial intelligence (AI), specifically intelligent software agents.
The AAII was started in 1988 as an initiative by the Hawke government and closed in 1999. It was backed by support from the Computer Power Group, SRI International and the Victorian State Government. The director of the group was Michael Georgeff who came from SRI, contributing his experience with the PRS and vision in the domain of intelligent agents. It was located in the Melbourne suburb of Carlton before moving to more spacious premises in the city centre of Melbourne, Victoria. At its peak it had more than 40 staff and took up two floors of an office building on the corner of Latrobe and Russell Streets.
In the late 1990s, the AAII spun out Agentis International (Agentis Business Solutions) to address the commercialization of the developed technology. Another company, Agent Oriented Software (AOS) was formed by a number of ex-AAII staff to pursue agent technology developing JACK Intelligent Agents. After the AAII shutdown, those staff that remained and the intellectual property were transferred to Agentis International.
This section summarizes a selection of the software and commercial projects that came out of the AAII:
Over the course of its existence, the AAII released more than 75 of public technical notes . This section lists an available selection of these notes.
A research institute was newly named the Australian Artificial Intelligence Institute (AAII) in August 2020. Formerly the Centre for Artificial Intelligence (CAI) which launched in March 2017, the Centre expanded into an Institute as a result of its rapid growth. [2] AAII operates at the University of Technology Sydney, Australia. It has 35 permanent research staff, 8 research labs and 200+ PhD students. Areas of research include computational intelligence, deep learning, transfer learning, large-scale graph processing, autonomous machine learning, and brain-computer interfaces.
In computer science, a software agent is a computer program that acts for a user or another program in a relationship of agency.
A multi-agent system is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning.
The belief–desire–intention software model (BDI) is a software model developed for programming intelligent agents. Superficially characterized by the implementation of an agent's beliefs, desires and intentions, it actually uses these concepts to solve a particular problem in agent programming. In essence, it provides a mechanism for separating the activity of selecting a plan from the execution of currently active plans. Consequently, BDI agents are able to balance the time spent on deliberating about plans and executing those plans. A third activity, creating the plans in the first place (planning), is not within the scope of the model, and is left to the system designer and programmer.
In intelligence and artificial intelligence, an intelligent agent (IA) is an agent acting in an intelligent manner. It perceives its environment, takes actions autonomously in order to achieve goals, and may improve its performance with learning or acquiring knowledge. An intelligent agent may be simple or complex: A thermostat or other control system is considered an example of an intelligent agent, as is a human being, as is any system that meets the definition, such as a firm, a state, or a biome.
Action selection is a way of characterizing the most basic problem of intelligent systems: what to do next. In artificial intelligence and computational cognitive science, "the action selection problem" is typically associated with intelligent agents and animats—artificial systems that exhibit complex behaviour in an agent environment. The term is also sometimes used in ethology or animal behavior.
In artificial intelligence, a procedural reasoning system (PRS) is a framework for constructing real-time reasoning systems that can perform complex tasks in dynamic environments. It is based on the notion of a rational agent or intelligent agent using the belief–desire–intention software model.
GOAL is an agent programming language for programming cognitive agents. GOAL agents derive their choice of action from their beliefs and goals. The language provides the basic building blocks to design and implement cognitive agents by programming constructs that allow and facilitate the manipulation of an agent's beliefs and goals and to structure its decision-making. The language provides an intuitive programming framework based on common sense or practical reasoning.
AgentSpeak is an agent-oriented programming language. It is based on logic programming and the belief–desire–intention software model (BDI) architecture for (cognitive) autonomous agents. The language was originally called AgentSpeak(L), but became more popular as AgentSpeak, a term that is also used to refer to the variants of the original language.
JACK Intelligent Agents is a framework in Java for multi-agent system development. JACK Intelligent Agents was built by Agent Oriented Software Pty. Ltd. (AOS) and is a third generation agent platform building on the experiences of the Procedural Reasoning System (PRS) and Distributed Multi-Agent Reasoning System (dMARS). JACK is one of the few multi-agent systems that uses the BDI software model and provides its own Java-based plan language and graphical planning tools.
In artificial intelligence, the distributed multi-agent reasoning system (dMARS) was a platform for intelligent software agents developed at the AAII that makes uses of the belief–desire–intention software model (BDI). The design for dMARS was an extension of the intelligent agent cognitive architecture developed at SRI International called procedural reasoning system (PRS). The most recent incarnation of this framework is the JACK Intelligent Agents platform.
Michael Peter Georgeff is a computer scientist and entrepreneur who has made contributions in the areas of Intelligent Software Agents and eHealth.
Dr. Robert L. Simpson Jr. was a computer scientist whose primary research interest was applied artificial intelligence. He served as Chief Scientist at Applied Systems Intelligence, Inc. (ASI) working with Dr. Norman D. Geddes, CEO. Dr. Simpson was responsible for the creation of the ASI core technology PreAct. ASI has since changed its name to Veloxiti Inc.
Agent-oriented programming (AOP) is a programming paradigm where the construction of the software is centered on the concept of software agents. In contrast to object-oriented programming which has objects at its core, AOP has externally specified agents at its core. They can be thought of as abstractions of objects. Exchanged messages are interpreted by receiving "agents", in a way specific to its class of agents.
Mark d'Inverno is a British computer scientist, currently a professor of Computer Science at Goldsmiths, University of London, in east London, England.
Deliberative agent is a sort of software agent used mainly in multi-agent system simulations. According to Wooldridge's definition, a deliberative agent is "one that possesses an explicitly represented, symbolic model of the world, and in which decisions are made via symbolic reasoning".
Eric Joel Horvitz is an American computer scientist, and Technical Fellow at Microsoft, where he serves as the company's first Chief Scientific Officer. He was previously the director of Microsoft Research Labs, including research centers in Redmond, WA, Cambridge, MA, New York, NY, Montreal, Canada, Cambridge, UK, and Bangalore, India.
This glossary of artificial intelligence is a list of definitions of terms and concepts relevant to the study of artificial intelligence, its sub-disciplines, and related fields. Related glossaries include Glossary of computer science, Glossary of robotics, and Glossary of machine vision.
Michael John Wooldridge is a professor of computer science at the University of Oxford. His main research interests is in multi-agent systems, and in particular, in the computational theory aspects of rational action in systems composed of multiple self-interested agents. His work is characterised by the use of techniques from computational logic, game theory, and social choice theory.
Christian Guttmann is an entrepreneur, business executive and scientist in Artificial Intelligence, Machine Learning and Data Science. He has three citizenships. He is currently the vice president in Engineering and Artificial Intelligence at Pegasystems, and leads the AI research and development including the development of Large Language Models and Generative AI. He is an adjunct associate professor at the University of New South Wales, Australia and Adjunct researcher at the Karolinska Institute, Sweden. Guttmann has edited and authored 7 books, over 50 publications and 4 patents in the field of Artificial Intelligence. He is a keynote speaker at international events, including the International Council for Information Technology (ICA) in Government Administration and CeBIT and is cited by MIT Sloan Management review and Bloomberg.