Fall `15 - Machine Intelligence Lab
... An in-depth look at Machine Intelligence (e.g., Artificial Intelligence grounded in reality), both classical and modern, with a view toward grounding in reality. To implement Machine Learning Algorithms in autonomous robots. To provide an "engineering approach" to the emerging field of MI, to impart ...
... An in-depth look at Machine Intelligence (e.g., Artificial Intelligence grounded in reality), both classical and modern, with a view toward grounding in reality. To implement Machine Learning Algorithms in autonomous robots. To provide an "engineering approach" to the emerging field of MI, to impart ...
ā-rangi Matariki Waitā Waitī
... Rules: This is a game for two players. Each player needs four counters. One player starts with their counters on orange (Hiwaiterangi, Waitī, Waitā, and Pohutukawa). The other starts with their counters on blue (Tupu-ā-nuku, Tupu-ā-rangi, Ura-ārangi, and Waipuna-ā-rangi). The first move can be made ...
... Rules: This is a game for two players. Each player needs four counters. One player starts with their counters on orange (Hiwaiterangi, Waitī, Waitā, and Pohutukawa). The other starts with their counters on blue (Tupu-ā-nuku, Tupu-ā-rangi, Ura-ārangi, and Waipuna-ā-rangi). The first move can be made ...
States as Game Players The Example of Russia, China and
... like twoSumo wrestlersortwochess players.Nowadays, multi-polarity rules a game characterized by complexity. Indeed, following their short terms or long term interests the States can become simultaneously partners or adversaries (see for instance, Evans, Graham and Newnham,Jeffrey (1998)). Then, how ...
... like twoSumo wrestlersortwochess players.Nowadays, multi-polarity rules a game characterized by complexity. Indeed, following their short terms or long term interests the States can become simultaneously partners or adversaries (see for instance, Evans, Graham and Newnham,Jeffrey (1998)). Then, how ...
Introduction to Natural Computation Lecture 10 Games Peter Lewis
... Pure strategy Nash equilibria are a special case of these. This particular game is known as Matching Pennies. Mixed strategies A mixed strategy defines a probability distribution over a set of possible actions. When the player plays, he chooses an action according to this distribution. Mixed strateg ...
... Pure strategy Nash equilibria are a special case of these. This particular game is known as Matching Pennies. Mixed strategies A mixed strategy defines a probability distribution over a set of possible actions. When the player plays, he chooses an action according to this distribution. Mixed strateg ...
grid dice game
... There is also a strong element of mental calculation in this work – an area that may often be over-looked or difficult to fit in. ...
... There is also a strong element of mental calculation in this work – an area that may often be over-looked or difficult to fit in. ...
Grand Challenge Problems in AI Raj Reddy, Carnegie Mellon
... Grand Challenge Problems in AI Raj Reddy, Carnegie Mellon University Given below are a set of longstanding challenges in the AI area that will be within technological reach in the next twenty years, and can be posed as realistic grand challenges. WORLD CHAMPION CHESS MACHINE using commercially avail ...
... Grand Challenge Problems in AI Raj Reddy, Carnegie Mellon University Given below are a set of longstanding challenges in the AI area that will be within technological reach in the next twenty years, and can be posed as realistic grand challenges. WORLD CHAMPION CHESS MACHINE using commercially avail ...
Silly game (0) - ICE-TCS
... put into an urn. The player repeats the following moves: he takes two balls at random from the urn; if those two balls have the same color he throws one black ball into the urn, otherwise he returns one white ball into the urn. Because each move decreases the total number of balls into the urn by 1, ...
... put into an urn. The player repeats the following moves: he takes two balls at random from the urn; if those two balls have the same color he throws one black ball into the urn, otherwise he returns one white ball into the urn. Because each move decreases the total number of balls into the urn by 1, ...
Player Manual for Beergame
... positions include factory, distributor, wholesaler and retailer. Sometimes there might less than 4 supply chain partners in a game. The two types of flows in this supply chain include product and information. There may be delay in these flows, which could be 1 or 2 weeks or in some cases no delay. S ...
... positions include factory, distributor, wholesaler and retailer. Sometimes there might less than 4 supply chain partners in a game. The two types of flows in this supply chain include product and information. There may be delay in these flows, which could be 1 or 2 weeks or in some cases no delay. S ...
a ppt file
... “Right,” “Down” is strictly dominated by “Up.” Therefore, Player 1 will not take “Down.” • Step 3: Given the belief that Player 1 will not take “Down,” “Left” is strictly dominated by “Middle.” Therefore, Player 1 will not take “Left.” • Step 4: Only (Up, Middle) is survived after the ...
... “Right,” “Down” is strictly dominated by “Up.” Therefore, Player 1 will not take “Down.” • Step 3: Given the belief that Player 1 will not take “Down,” “Left” is strictly dominated by “Middle.” Therefore, Player 1 will not take “Left.” • Step 4: Only (Up, Middle) is survived after the ...
Game Theory
... situation. Two hunters can either jointly hunt a stag (an adult deer and rather large meal) or individually hunt a rabbit (tasty, but substantially less filling). Hunting stags is quite challenging and requires mutual cooperation. If either hunts a stag alone, the chance of success is minimal. Hunti ...
... situation. Two hunters can either jointly hunt a stag (an adult deer and rather large meal) or individually hunt a rabbit (tasty, but substantially less filling). Hunting stags is quite challenging and requires mutual cooperation. If either hunts a stag alone, the chance of success is minimal. Hunti ...
Opponent Modelling in Heads-Up Poker
... This paper introduced a new representation for opponent modelling in poker, which was originally developed and evaluated in a diploma thesis. This new representation uses a hierarchical approach to partition the game state space to make dynamic abstractions possible. The evaluation showed promising ...
... This paper introduced a new representation for opponent modelling in poker, which was originally developed and evaluated in a diploma thesis. This new representation uses a hierarchical approach to partition the game state space to make dynamic abstractions possible. The evaluation showed promising ...
PDF
... Artificial intelligence aims to mimic the ‘operation’ of the human mind using sequential machines, automata, robots, or computers. Indeed there are two different claims on how far AI can go in exhibiting human behaviors, and especially in emulating the actions of the human mind: • Strong AI thesis, ...
... Artificial intelligence aims to mimic the ‘operation’ of the human mind using sequential machines, automata, robots, or computers. Indeed there are two different claims on how far AI can go in exhibiting human behaviors, and especially in emulating the actions of the human mind: • Strong AI thesis, ...
Thinking rationally
... The Greek philosopher Aristotle was one of the first to attempt to codify “right thinking”,that is irrefuatable reasoning processes. His syllogism provided patterns for argument structures that ...
... The Greek philosopher Aristotle was one of the first to attempt to codify “right thinking”,that is irrefuatable reasoning processes. His syllogism provided patterns for argument structures that ...
Lecture 5
... because there are nine squares in which the computer can place its first naught. The branching factor of the next level of the tree is 8, then 7 for the next level, and so on. • For a computer to use this tree to make decisions about moves in a game of tic-tac-toe, it needs to use an evaluation func ...
... because there are nine squares in which the computer can place its first naught. The branching factor of the next level of the tree is 8, then 7 for the next level, and so on. • For a computer to use this tree to make decisions about moves in a game of tic-tac-toe, it needs to use an evaluation func ...
Power Point
... To build systems that exhibit intelligent behavior To understand intelligence in order to model it ...
... To build systems that exhibit intelligent behavior To understand intelligence in order to model it ...
PPT - CIS @ UPenn - University of Pennsylvania
... • While there is always at least one, there might be many – zero-sum games: all equilibria give the same payoffs to each player – non zero-sum: different equilibria may give different payoffs! ...
... • While there is always at least one, there might be many – zero-sum games: all equilibria give the same payoffs to each player – non zero-sum: different equilibria may give different payoffs! ...