50 Years of Artificial Intelligence: Essays Dedicated to the 50th Anniversary of Artificial Intelligence (Google eBook)

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Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer
Springer Science & Business Media, Dec 10, 2007 - Computers - 398 pages
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Half a century ago, at the now famous 1956 Dartmouth Conference, the “fathers” of Arti?cial Intelligence (AI) – among them John McCarthy, Marvin Minsky,AllenNewell,ClaudeShannon,HerbertSimon,OliverSelfridge,andRay Solomono? – convened under the premise “that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a - chine can be made to simulate it. ” Fifty years have passed, and AI has turned into an important ?eld whose in?uence on our daily lives can hardly be over- timated. Many specialized AI systems exist that are at work in our cars, in our laptop computers, and in our personal and commercial technologies. There is no doubt that the impact of AI on our lives in the future will become even more general and ubiquitous. In this book we provide a representative collection of papers written by the leading researchers in the ?eld of Arti?cial Intelligence. All of the authors of - pers in this volume attended the 50th Anniversary Summit of AI (http://www. ai50. org), held at the Centro Stefano Franscini, Monte Verita, ` Ascona, Switz- land, July 9–14,2006.
  

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|||||||||||||| Outstanding text, I merely browsed through it, but I found everything I came across worth reading. The table of contents gives a broad historical overview. Let us not forget that a "broad historical overview" is an important way of connecting many strands of ideas in the narrative style of History.  

Contents

AI in the 21rm st Century With Historical Reflections
1
Status and Prospects
9
From Symbols to Embodiment and Back
18
Celebrating 75 Years of AI History and Outlook The Next 25 Years
29
Past Present and Future
42
Philosophical Foundations of AI
53
On the Role of AI in the Ongoing Paradigm Shift within the Cognitive Sciences
63
On the Information Theoretic Implications of Embodiment Principles and Methods
76
Adaptive Behavior Control with Selfregulating Neurons
196
A Cognitive Model for an Embodied Artificial Intelligence
206
The Influence of Artificial Intelligence on Rehabilitation Robotics
221
Tests of Machine Intelligence
232
A Hierarchical Concept Oriented Representation for Spatial Cognition in Mobile Robots
243
Anticipation and FutureOriented Capabilities in Natural and Artificial Cognition
257
ComputerSupported HumanHuman MultilingualCommunication
271
Why Social Intelligence Matters in the Design and Development of Robots with HumanLike Intelligence
288

Development Via Information Selfstructuring of Sensorimotor Experience and Interaction
87
How Information and Embodiment Shape Intelligent Information Processing
99
Preliminary Considerations for a Quantitative Theory of Networked Embodied Intelligence
112
A Quantitative Investigation into Distribution of Memory and Learning in Multi Agent Systems with Implicit Communications
124
Challenges and Perspectives of Underactuated Robots
134
On the Task Distribution Between Control and Mechanical Systems A Case Study with an Amoeboid Modular Robot
144
Bacteria Integrated Swimming Microrobots
154
Adaptive Multimodal Sensors
164
What Can AI Get from Neuroscience?
174
On the Interrelation Between Internal and External Mechanisms of Evolved Robot Behavior
186
Intrinsically Motivated Machines
303
Curious and Creative Machines
315
Applying Data Fusion in a Rational Decision Making with Emotional Regulation
320
The Sensorimotor Approach
332
Toward a Common Platform for Embodied AI
347
An OpenSystem Research Platform for Enactive Cognition
358
Experiences and Challenges
370
A Landlocked Archipelago Enhances Epistemology
386
Author Index
399
Copyright

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Page 11 - At any instant of time the system will contain a collection of these symbol structures. Besides these structures, the system also contains a collection of processes that operate on expressions to produce other expressions: processes of creation, modification, reproduction and destruction. A physical symbol system is a machine that produces through time an evolving collection of symbol structures.

About the author (2007)

Rolf Pfeifer is Professor of Computer Science and Director of the Artificial Intelligence Laboratory in the Department of Informatics at the University of Zurich. He is the author of "Understanding Intelligence" (MIT Press, 1999).