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Minds may be computers but.. - Cognitive Science Department
Minds may be computers but.. - Cognitive Science Department

... to create products, that are valued within one or more cultural settings” and Pinker (1997) has defined it as “the ability to attain goals in the face of obstacles by means of decisions based on rational (truth-obeying) rules.” And although he may have meant it as a joke, Boring’s (1923) definition ...
Agent definitions - Computer Science
Agent definitions - Computer Science

IJEBM-JeffChang - Intelligent Agents Lab
IJEBM-JeffChang - Intelligent Agents Lab

... the other hand, it was not until recent years that several independent industrial and research groups started to pursue the standardization of multi-agent technology, such as the Object Manager Group (OMG), the Foundation for Physical Agent (FIPA), the Knowledge-able Agent-oriented System (KAoS) gro ...
Incomplete Information - Einstein Institute of Mathematics @ The
Incomplete Information - Einstein Institute of Mathematics @ The

... ad infinitum. This sounds – and is – cumbersome and unwieldy, and from the beginning of research into the area, a more compact, manageable way was sought to represent interactive beliefs. Such a way was found in the semantic approach, which is “leaner” and less elaborate, but also less transparent. ...
Real-time decision problems: An operational research perspective
Real-time decision problems: An operational research perspective

... uncertainty about the external world. For planning purposes, the environmentin which the plan is executed must be predictableto some extent. Planningis ineffective in highly uncertain situations, where an agent can only blindly react to events. Hence, replanning over a short horizon makes more sense ...
David F pap3 draft1 COMMENTS
David F pap3 draft1 COMMENTS

... This book is one of the most inspirational biographies I have ever read. I will use this book to make several points in my argument. This book has two major quotes that will shape my argument. Alan Turing Defines Machine intelligence “The extent to which we regard something as behaving in an intelli ...
CSC 480: Artificial Intelligence
CSC 480: Artificial Intelligence

... emphasis on the way systems work or “think” requires insight into the internal representations and processes of the ...
INFO372 - Department of Computer Science
INFO372 - Department of Computer Science

... Rational behavior: doing the right thing; that which is expected to maximize goal achievement, given the available information; Doesn't necessarily involve thinking – e.g., blinking reflex – but thinking should be in the service of rational action; ...
Pepall_chpt_009 - Blackwell Publishing
Pepall_chpt_009 - Blackwell Publishing

Openness of the set of games with a unique correlated equilibrium
Openness of the set of games with a unique correlated equilibrium

... establish such robustness results typically requires proving that some of the properties of the game we initially considered are themselves robust; that is, that the set of games having these properties is open. We investigate here whether the set of finite normal-form games with a unique equilibriu ...
2012-09-26 - Computer Science
2012-09-26 - Computer Science

... of problems they (intelligent machines) can handle will be coextensive with the range to which the human mind has been applied.) not kept • no general success in machine translation “The spirit is willing but the flesh is weak.” (into Russian and back) “The vodka is good but the meat is rotten.” • L ...
Complexity of Finding a Nash Equilibrium
Complexity of Finding a Nash Equilibrium

LOGIC PROGRAMMING - University College Dublin
LOGIC PROGRAMMING - University College Dublin

A Case Study in Developmental Robotics
A Case Study in Developmental Robotics

... a common one. For example, in an article (Barto et al., 1995) it was shown that majority of reinforcement learning (RL) algorithms are properly treated within the dynamic programming framework. RL methods which use dynamic programming as mathematical framework, require that environment be represente ...
Artificial Intelligence Problem-Solving Agent Example of a “toy
Artificial Intelligence Problem-Solving Agent Example of a “toy

... like to get to the other side. But the missionaries are not sure what else the cannibals have agreed to. So the missionaries want to manage the trip across the river in such a way that the number of cannibals who are on either side of the river is never more than the number of missionaries on the sa ...
marked
marked

...  Need to formalize, operationalize this definition ...
Search Strategies
Search Strategies

Volume 8, Number 2
Volume 8, Number 2

artificial intelligence: an application of reinforcement learning
artificial intelligence: an application of reinforcement learning

... method that is well suited to solving that problem, we consider to be a reinforcement learning method." (Sutton and Barto, 1998, p. 4) Reinforcement Learning is a type of machine learning in artificial intelligence used to optimize computer learning in certain environments without supervision. It wa ...
PPT
PPT

... better modeling, new action rules, etc. ...
Agents271-sq2010
Agents271-sq2010

... Rational agents • Rationality is distinct from omniscience (all-knowing with infinite knowledge) • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own ...
Boundedly Rational Nash Equilibrium: A
Boundedly Rational Nash Equilibrium: A

Artificial life - The University of Texas at Dallas
Artificial life - The University of Texas at Dallas

... centralized controller that makes decisions based on access to all aspects of global state. The controller’s decisions have the potential to affect directly any aspect of the whole system. On the other hand, many natural living systems exhibiting complex autonomous behavior are parallel, distributed ...
Reports of the AAAI 2010 Conference Workshops
Reports of the AAAI 2010 Conference Workshops

... from one field to problems from the other, and to identify the key issues to be addressed in increasing the convergence between security and AI. This is a fertile area for research, and has been attracting an increasing amount of interest in both communities. Prior to this workshop there was a 2009 ...
Hubert Dreyfus - Human versus Machine
Hubert Dreyfus - Human versus Machine

... influential AI-researchers have taken Dreyfus's critiques to heart, and developed and applied many of his phenomenological ideas to their own research. Via this route, the frequently abstract philosophical notions to which Dreyfus appeals have had a direct impact on the development of AI. This prese ...
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Artificial intelligence in video games

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