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Open AccessJournal ArticleDOI

Elephants don't play chess

TLDR
It is shown how a research methodology which emphasizes ongoing physical interaction with the environment as the primary source of constraint on the design of intelligent systems has recently had significant successes on a par with the most successful classical efforts.
About
This article is published in Robotics and Autonomous Systems.The article was published on 1990-06-01 and is currently open access. It has received 1318 citations till now.

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Intelligent Agents: Theory and Practice

TL;DR: Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents as discussed by the authors ; agent architectures can be thought of as software engineering models of agents; and agent languages are software systems for programming and experimenting with agents.
Journal ArticleDOI

Six views of embodied cognition.

TL;DR: The sixth claim has received the least attention in the literature on embodied cognition, but it may in fact be the best documented and most powerful of the six claims.
Book

Introduction to Multiagent Systems

TL;DR: A multi-agent system (MAS) as discussed by the authors is a distributed computing system with autonomous interacting intelligent agents that coordinate their actions so as to achieve its goal(s) jointly or competitively.
Book

How the body shapes the mind

TL;DR: In this article, the authors investigate the origins of the notion of EMBODIMENT and explore the connections between physics, philosophy, and pathology, focusing on pseudoscience.
Book ChapterDOI

Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents

TL;DR: This work proposes a formal definition of an autonomous agent which clearly distinguishes a software agent from just any program, and offers the beginnings of a natural kinds taxonomy of autonomous agents.
References
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Book

The Sciences of the Artificial

TL;DR: A new edition of Simon's classic work on artificial intelligence as mentioned in this paper adds a chapter that sorts out the current themes and tools for analyzing complexity and complex systems, taking into account important advances in cognitive psychology and the science of design while confirming and extending Simon's basic thesis that a physical symbol system has the necessary and sufficient means for intelligent action.
Book

A robust layered control system for a mobile robot

TL;DR: A new architecture for controlling mobile robots is described, building a robust and flexible robot control system that has been used to control a mobile robot wandering around unconstrained laboratory areas and computer machine rooms.
Journal ArticleDOI

A robust layered control system for a mobile robot

TL;DR: In this paper, a new architecture for controlling mobile robots is described, which is made up of asynchronous modules that communicate over low-bandwidth channels, each module is an instance of a fairly simple computational machine.
Book

Eye Movements and Vision

Journal ArticleDOI

Some studies in machine learning using the game of checkers

TL;DR: In this article, two machine learning procedures have been investigated in some detail using the game of checkers, and enough work has been done to verify the fact that a computer can be programmed so that it will lear...
Frequently Asked Questions (16)
Q1. What are the contributions in "Elephants don't play chess" ?

He studied Mathematics at the Flinders University of South Australia and received a Ph. D. from Stanford in Computer Science in 1981. 

Inhibition and suppression are the mechanisms by which conflict resolution between actuator commands from different layers is achieved. 

Through a special purpose distributed serpentine memory, four of the onboard 8-bit processors were each able to expend about 30 instructions on each data pixel. 

To build a system based on the physical grounding hypothesis it is necessary to connect it to the world via a set of sensors and actuators. 

Its normal mode of operation is to act as a "bug", biding in dark corners and venturing out in the direction of noises, only after the noises are long gone, looking for a new place to hide near where the previous set of noises came from. 

When a behavior (such as "go to some place") is activated (via a small panel of push buttons on the robot) a spreading of activation mechanism is used, which spreads from the goal via the neighbor links. 

Their current strategy is to test the limitations of the physical grounding hypothesis by building robots which are more independent and can do more in the world. 

It recapitulates the primate vestibular-occular system by using vision as a slow calibration system for a gyroscope controlled movable platform which holds the camera. 

A key thing to note with these robots is the ways in which seemingly goal-directed behavior emerges from the interactions of simpler non goal-directed behaviors. 

Tom and Jerry also demonstrated that the subsumption architecture could be compiled (by hand) down to the gate level, and that it could be run at clock speeds of only a few hundred Hertz. 

The advantage of this approach is that there is no need to set up internal expectations for what is going to happen next; this means that the control system can both (1) be naturally opportunistic if fortuitous circumstances present themselves, and (2) it can easily respond to changed circumstances, such as some other object approaching it on a collision course. 

These groundings provide the constraints on symbols necessary for them to be truly useful.[26] has argued rather eloquently that mobility, acute vision and the ability to carry out survival related tasks in a dynamic environment provide a necessary basis for the development of true intelligence. 

When the arm located a soda can with its local sensors, it simply drove the hand so that the two fingers lined up on either side of the can. 

This hypothesis states that to build a system that is intelligent it is necessary to have its representations grounded in the physical world. 

When a message arrives on a suppressing side-tap, again no messages are allowed to flow, from the original source for some small time period, but now the suppressing message is gated through and it masquerades as having come from the original source. 

There is room for plenty of experimentation, and eventually, when the authors are mature enough, there is also room for much theoretical development of the approaches to Artificial Intelligence based on the physical grounding hypothesis.