Connectionist architectures for artificial intelligence
... Of greatest interest in this paper are the tables on pages 28-29 and 52-53. The first presents a list of expert systems that have actually been used; the second outlines ...
... Of greatest interest in this paper are the tables on pages 28-29 and 52-53. The first presents a list of expert systems that have actually been used; the second outlines ...
Distribution of Strategies in a Spatial Multi-Agent Game
... with the highest payoff for a given situation. To reach this goal, however, can be difficult for two reasons: uncertainty, i.e. particular realizations are usually subject to random disturbances and can therefore be known only with a certain probability, and co-evolution, i.e. the agent does not ope ...
... with the highest payoff for a given situation. To reach this goal, however, can be difficult for two reasons: uncertainty, i.e. particular realizations are usually subject to random disturbances and can therefore be known only with a certain probability, and co-evolution, i.e. the agent does not ope ...
REPEATED GAMES WITH PRIVATE MONITORING: TWO PLAYERS
... This efficiency result would provide the study of cartel oligopoly with the following substantial impact. The classical work by Stigler (1964) has pointed out that each firm may have the option of making secret price cuts in that it offers to consumers a sales price that is lower than the cartel pri ...
... This efficiency result would provide the study of cartel oligopoly with the following substantial impact. The classical work by Stigler (1964) has pointed out that each firm may have the option of making secret price cuts in that it offers to consumers a sales price that is lower than the cartel pri ...
An Annotated Bibliography - Machine Intelligence Research Institute
... 1007/978-3-642-35506-6_22. Orseau and Ring provide an alternative framework for evaluating intelligence, which allows for the fact that agents are not separate from their environment, but rather embedded in it and computed by it. Their formulation characterizes the problem which we, as the designers ...
... 1007/978-3-642-35506-6_22. Orseau and Ring provide an alternative framework for evaluating intelligence, which allows for the fact that agents are not separate from their environment, but rather embedded in it and computed by it. Their formulation characterizes the problem which we, as the designers ...
The Project ENTs: Towards Modeling Human
... Various types of networks can be used to control reactive h-agents. Neural network controls animals in the computer game Creatures [12], Tyrrell uses hierarchical networks [24], Maes uses flat networks [18]. Unlike ents, agents controlled by networks are not h-agents in the sense that they do not ca ...
... Various types of networks can be used to control reactive h-agents. Neural network controls animals in the computer game Creatures [12], Tyrrell uses hierarchical networks [24], Maes uses flat networks [18]. Unlike ents, agents controlled by networks are not h-agents in the sense that they do not ca ...
Toward the fair sharing of profit in a supply network formation
... reconfigurability. This paper describes a supply network formation process as a network of enterprises attempting to collaborate and capture a market share for a particular set of products. The result of such a collaboration may be called an emergent supply network. The basic and necessary ingredien ...
... reconfigurability. This paper describes a supply network formation process as a network of enterprises attempting to collaborate and capture a market share for a particular set of products. The result of such a collaboration may be called an emergent supply network. The basic and necessary ingredien ...
Class Overview and Intro to AI
... • The right thing: which is expected to maximize goal achievement, given the available information • The rational-agent approach has two advantages – It’s more general than the “laws of thought” because correct inference is just one of several possible mechanisms for achieving rationality – Second , ...
... • The right thing: which is expected to maximize goal achievement, given the available information • The rational-agent approach has two advantages – It’s more general than the “laws of thought” because correct inference is just one of several possible mechanisms for achieving rationality – Second , ...
A Simplicial Algorithm Approach to Nash Equilibria in Concave Games
... compute approximate fixed points of continuous functions in the following way. First, the underlying domain is triangulated, i.e., it is decomposed into simplices in some nice way. Next, each vertex (or each face) in this triangulation is assigned a label that reflects the structure of the given fun ...
... compute approximate fixed points of continuous functions in the following way. First, the underlying domain is triangulated, i.e., it is decomposed into simplices in some nice way. Next, each vertex (or each face) in this triangulation is assigned a label that reflects the structure of the given fun ...
Artificial Intelligence Methods - Lecture 1
... The art of creating machines that perform functions that require intelligence when performed by people? ...
... The art of creating machines that perform functions that require intelligence when performed by people? ...
Economic reasoning and artificial intelligence
... interactions among AIs. The idea is to change the “rules of the game” (e.g., rewards associated with actions and outcomes) to effect change in agent behavior and achieve system-wide goals. System goals might include, for instance, promoting an allocation of resources to maximize total value, coordin ...
... interactions among AIs. The idea is to change the “rules of the game” (e.g., rewards associated with actions and outcomes) to effect change in agent behavior and achieve system-wide goals. System goals might include, for instance, promoting an allocation of resources to maximize total value, coordin ...
On a Game in Directed Graphs
... Inspired by recent algorithms for electing a leader in a distributed system, we study the following game in a directed graph: each vertex selects one of its outgoing arcs (if any) and eliminates the other endpoint of this arc; the remaining vertices play on until no arcs remain. We call a directed g ...
... Inspired by recent algorithms for electing a leader in a distributed system, we study the following game in a directed graph: each vertex selects one of its outgoing arcs (if any) and eliminates the other endpoint of this arc; the remaining vertices play on until no arcs remain. We call a directed g ...
COMP219 Lec3 agents - Computer Science Intranet
... Static env. examples: a crossword puzzle, the card game poker, the game of backgammon ...
... Static env. examples: a crossword puzzle, the card game poker, the game of backgammon ...
Multi-Agent Systems
... “Agent = a hardware or (more usually) a software-based computer system that enjoys the following properties: autonomy - agents operate without the direct intervention of humans or others, and have some kind of control over their actions and internal state; ...
... “Agent = a hardware or (more usually) a software-based computer system that enjoys the following properties: autonomy - agents operate without the direct intervention of humans or others, and have some kind of control over their actions and internal state; ...
Introduction to Artificial Intelligence Introduction to Artificial
... A human is connected to a person and a machine via a terminal of some kind and cannot see either the person or machine. The interrogator's task is to find out which of the two candidates is the machine, and which is human only by asking them questions. If the human cannot make a decision within a ce ...
... A human is connected to a person and a machine via a terminal of some kind and cannot see either the person or machine. The interrogator's task is to find out which of the two candidates is the machine, and which is human only by asking them questions. If the human cannot make a decision within a ce ...
