Multiagent Systems: A Survey from a Machine Learning Perspective
... be easier to add new agents to a multiagent system than it is to add new capabilities to a monolithic system. Systems whose capabilities and parameters are likely to need to change over time or across agents can also benefit from this advantage of MAS. From a programmer’s perspective the modularity ...
... be easier to add new agents to a multiagent system than it is to add new capabilities to a monolithic system. Systems whose capabilities and parameters are likely to need to change over time or across agents can also benefit from this advantage of MAS. From a programmer’s perspective the modularity ...
Methods for task allocation via agent coalition formation6
... are able to perform a given task, the efficiency and the costs may be completely different. For example, suppose that a task of taking 10 passengers from Mirabel airport to Dorval airport (both in Montréal) has been ordered. This may be performed by several private cars or by a single helicopter. Ho ...
... are able to perform a given task, the efficiency and the costs may be completely different. For example, suppose that a task of taking 10 passengers from Mirabel airport to Dorval airport (both in Montréal) has been ordered. This may be performed by several private cars or by a single helicopter. Ho ...
Dynamic Programming for Partially Observable Stochastic Games
... finite-horizon POSG can be converted to a normal-form game with hidden state. When the horizon of a POSG is one, the two representations of the game are identical, since a strategy corresponds to a single action, and the payoff functions for the normal-form game correspond to the reward functions of ...
... finite-horizon POSG can be converted to a normal-form game with hidden state. When the horizon of a POSG is one, the two representations of the game are identical, since a strategy corresponds to a single action, and the payoff functions for the normal-form game correspond to the reward functions of ...
Introduction to Artificial Intelligence
... Performance measure: An objective criterion for success of an agent's behavior, given the evidence provided by the percept sequence. A performance measure for a vacuum-cleaner agent might include one or more of: • +1 point for each clean square in time T • +1 point for clean square, -1 for each ...
... Performance measure: An objective criterion for success of an agent's behavior, given the evidence provided by the percept sequence. A performance measure for a vacuum-cleaner agent might include one or more of: • +1 point for each clean square in time T • +1 point for clean square, -1 for each ...
artificial intelligence - cs2302 computer networks
... world champion in a chess match when it bested Garry Kasparov by a score of 3.5 to 2.5 in an exhibition match (Goodman and Keene, 1997). Autonomous control: The ALVINN computer vision system was trained to steer a car to keep it following a lane. It was placed in CMU's NAVLAB computer-controlled min ...
... world champion in a chess match when it bested Garry Kasparov by a score of 3.5 to 2.5 in an exhibition match (Goodman and Keene, 1997). Autonomous control: The ALVINN computer vision system was trained to steer a car to keep it following a lane. It was placed in CMU's NAVLAB computer-controlled min ...
1.1.1 What is artificial intelligence?
... world champion in a chess match when it bested Garry Kasparov by a score of 3.5 to 2.5 in an exhibition match (Goodman and Keene, 1997). Autonomous control: The ALVINN computer vision system was trained to steer a car to keep it following a lane. It was placed in CMU's NAVLAB computer-controlled min ...
... world champion in a chess match when it bested Garry Kasparov by a score of 3.5 to 2.5 in an exhibition match (Goodman and Keene, 1997). Autonomous control: The ALVINN computer vision system was trained to steer a car to keep it following a lane. It was placed in CMU's NAVLAB computer-controlled min ...
LOGIC PROGRAMMING - University College Dublin
... In his PUP6 system an agent was represented by a 'Being' which had to comply with a predefined structure. It consisted of a fixed number of 'parts', each part representing a question that the ks may be equipped to answer. If a part contained a value then the being is sufficiently knowledgeable with ...
... In his PUP6 system an agent was represented by a 'Being' which had to comply with a predefined structure. It consisted of a fixed number of 'parts', each part representing a question that the ks may be equipped to answer. If a part contained a value then the being is sufficiently knowledgeable with ...
Artificial Intelligence Modelling social action for AI agents
... other agents, and “strong social action”, based on goals about others’ minds and their actions, are distinguished. Special attention is paid to Goal Delegation and Goal Adoption that are considered as the basic ingredients of social commitment and contract, and then of exchange, cooperation, group a ...
... other agents, and “strong social action”, based on goals about others’ minds and their actions, are distinguished. Special attention is paid to Goal Delegation and Goal Adoption that are considered as the basic ingredients of social commitment and contract, and then of exchange, cooperation, group a ...
Learning Agents - Cal Poly Computer Science Department
... direct mapping from percepts to actions inductive inference given a collection of examples for a function f , return a function h (hypothesis) that approximates f bias preference for one hypothesis over another usually large number of possible consistent hypotheses incremental learning new examples ...
... direct mapping from percepts to actions inductive inference given a collection of examples for a function f , return a function h (hypothesis) that approximates f bias preference for one hypothesis over another usually large number of possible consistent hypotheses incremental learning new examples ...
Decision Support System
... to which they are applicable 5. Define neural network and genetic algorithm, and explain how each works and the type of situation to which each is applicable 6. Describe the types and uses of intelligent agents ...
... to which they are applicable 5. Define neural network and genetic algorithm, and explain how each works and the type of situation to which each is applicable 6. Describe the types and uses of intelligent agents ...
Alan Turing and the Matrix: Intelligent Systems for Law Enforcement
... theorem proving and problem solving (Kemal, 2006). However, it is possible that computers will ultimately reach (and even surpass) the level of intelligence possessed by human beings (Kurzweil, 2005). How this may affect our society can be seen in science fiction. Since popular culture expands on th ...
... theorem proving and problem solving (Kemal, 2006). However, it is possible that computers will ultimately reach (and even surpass) the level of intelligence possessed by human beings (Kurzweil, 2005). How this may affect our society can be seen in science fiction. Since popular culture expands on th ...
The Project ENTs: Towards Modeling Human
... psychologists etc.) also create h-agents from time to time. Some pragmatic reasons, why these people find it difficult to develop h-agents, follow: a) Non-computer researchers usually cannot code in C++ or Java, therefore they are not able to build new h-agent or their environments from scratch. b) ...
... psychologists etc.) also create h-agents from time to time. Some pragmatic reasons, why these people find it difficult to develop h-agents, follow: a) Non-computer researchers usually cannot code in C++ or Java, therefore they are not able to build new h-agent or their environments from scratch. b) ...
An Agent Model for Future Autonomic Communications
... perspective of computer networks: wired networks of (rather homogeneous) medium/high-end computers and routers. In such scenarios, network disconnections and failure of components are considered exceptions, and network and system managers are always assumed to be able to act on the system for re-con ...
... perspective of computer networks: wired networks of (rather homogeneous) medium/high-end computers and routers. In such scenarios, network disconnections and failure of components are considered exceptions, and network and system managers are always assumed to be able to act on the system for re-con ...
as a PDF
... between deliberative, reactive, and hybrid architectures is briefly highlighted. Wooldridge and Jennings ([67], p. 24) define a deliberative agent architecture “to be one that contains an explicitly represented, symbolic model of the world, and in which decisions (for example about what actions to p ...
... between deliberative, reactive, and hybrid architectures is briefly highlighted. Wooldridge and Jennings ([67], p. 24) define a deliberative agent architecture “to be one that contains an explicitly represented, symbolic model of the world, and in which decisions (for example about what actions to p ...
Automating the Design of Virtual Worlds Using Rational Agents
... used in virtual worlds lag behind the current state of the art in AI research: ...
... used in virtual worlds lag behind the current state of the art in AI research: ...
agent based frameworks for distributed association rule mining
... Intelligent Agents [34], Mobile Agent based Distributed Data Mining [35], An Agent based Framework for Association Rule Mining of Distributed Data (AFARMDD) [36], [37], MultiAgent Distributed Association Rule Miner (MADARM) [38]. All these systems are academic research projects. Discussion of these ...
... Intelligent Agents [34], Mobile Agent based Distributed Data Mining [35], An Agent based Framework for Association Rule Mining of Distributed Data (AFARMDD) [36], [37], MultiAgent Distributed Association Rule Miner (MADARM) [38]. All these systems are academic research projects. Discussion of these ...
Nash Social Welfare in Multiagent Resource Allocation
... idea goes back to John Nash’s famous solution to the bargaining problem [14]. While the Nash solution is recognized as being of central importance in the Economics literature at large, in this paper we shall study it in the context of two approaches to MARA in which it has received little or no att ...
... idea goes back to John Nash’s famous solution to the bargaining problem [14]. While the Nash solution is recognized as being of central importance in the Economics literature at large, in this paper we shall study it in the context of two approaches to MARA in which it has received little or no att ...
IJEBM-JeffChang - Intelligent Agents Lab
... (WMR) with switching behaviors including target approach and obstacle avoidance. Under the well designed controller, an agent can perform formation tasks together with other agents in order to accomplish a cooperative mission. The top-down design method deals with not only logical conflicts but also ...
... (WMR) with switching behaviors including target approach and obstacle avoidance. Under the well designed controller, an agent can perform formation tasks together with other agents in order to accomplish a cooperative mission. The top-down design method deals with not only logical conflicts but also ...
project summary - Internet Mapping Services for San Diego Wildfire
... (Weiss and Kulikowski, 1984; Shea, 1991). In the 1980s, many cartographers tried to develop expert systems for various mapping tasks, including automated point label placement (Christensen, et. al, 1995; Doddi et. al., 1997), automatic generalization (Buttenfield and McMaster, 1991), and map label ...
... (Weiss and Kulikowski, 1984; Shea, 1991). In the 1980s, many cartographers tried to develop expert systems for various mapping tasks, including automated point label placement (Christensen, et. al, 1995; Doddi et. al., 1997), automatic generalization (Buttenfield and McMaster, 1991), and map label ...
Artificial Intelligence and Decision Systems Course notes
... them as intelligent. The problems arise in the middle ground: can insects be considered intelligent? how about amoebas? and viruses? There is a continuum of complexity ranging from humans down to rocks, and placing a border line somewhere in the middle do not seem an easy task at all [1]. ...
... them as intelligent. The problems arise in the middle ground: can insects be considered intelligent? how about amoebas? and viruses? There is a continuum of complexity ranging from humans down to rocks, and placing a border line somewhere in the middle do not seem an easy task at all [1]. ...
Excuse me, I need better AI! Employing Collaborative Diffusion to
... AI approaches; they also become a conceptual development space yielding new notions of computational intelligence that can be transferred, for a change, from Game AI to regular AI. Compared to rendering and physics simulation, Game AI has much room for improvement. Players are beginning to demand mo ...
... AI approaches; they also become a conceptual development space yielding new notions of computational intelligence that can be transferred, for a change, from Game AI to regular AI. Compared to rendering and physics simulation, Game AI has much room for improvement. Players are beginning to demand mo ...
A comprehensive survey of multi
... systems, data mining, etc. [3], [4]. They may arise as the most natural way of looking at the system, or may provide an alternative perspective on systems that are originally regarded as centralized. For instance, in robotic teams the control authority is naturally distributed among the robots [4]. ...
... systems, data mining, etc. [3], [4]. They may arise as the most natural way of looking at the system, or may provide an alternative perspective on systems that are originally regarded as centralized. For instance, in robotic teams the control authority is naturally distributed among the robots [4]. ...
A Computational Theory of Inference for Arithmetic Explanation Albert Goldfain
... Unlike human students, computers and calculators are usually expected to produce fast, reliable results without an explanation. These results often take the form of a numerical output devoid of intermediate calculations, linguistic content, and problem-specific semantic information. In such a role, ...
... Unlike human students, computers and calculators are usually expected to produce fast, reliable results without an explanation. These results often take the form of a numerical output devoid of intermediate calculations, linguistic content, and problem-specific semantic information. In such a role, ...
An Oz-Centric Review of Interactive Drama and
... Classical AI seeks general solutions; the theory of language understanding, the theory of planning, etc. Behavioral AI starts with the assumption that there is a complex "fit" between an agent and its environment; there may not be generic solutions for all environments (just as many animals don't fu ...
... Classical AI seeks general solutions; the theory of language understanding, the theory of planning, etc. Behavioral AI starts with the assumption that there is a complex "fit" between an agent and its environment; there may not be generic solutions for all environments (just as many animals don't fu ...
V. Case Study: The “Call for Papers” Agent
... problems. Together with the application of linguistic ontologies like WordNet [26], this branch of research lead to a retrieval improvement, but it does not provide semantics for the whole Web. A main reason is the lack of context in which words are being used. When semantics is not available to per ...
... problems. Together with the application of linguistic ontologies like WordNet [26], this branch of research lead to a retrieval improvement, but it does not provide semantics for the whole Web. A main reason is the lack of context in which words are being used. When semantics is not available to per ...