original
... Precision: did you get only pages you wanted? Recall: did you get all pages you wanted? Ratio of relevant hits to pages explored, resources expended ...
... Precision: did you get only pages you wanted? Recall: did you get all pages you wanted? Ratio of relevant hits to pages explored, resources expended ...
Automated Bidding Strategy Adaption using Learning Agents in
... Section 5 the key issues of this paper are provided and an outlook on future research is given. ...
... Section 5 the key issues of this paper are provided and an outlook on future research is given. ...
Embodiment
... In the early days of AI, symbol manipulation was seen as the key to intelligence. ...
... In the early days of AI, symbol manipulation was seen as the key to intelligence. ...
Introduction to Artificial Intelligence
... exams and grading. Course material. Why study AI? What is AI? The Turing test. Rationality. Branches of AI. Research disciplines connected to and at the foundation of AI. Brief history of AI. Challenges for the future. Overview of class syllabus. • 02-Intelligent Agents. [AIMA Ch 2] What is an intel ...
... exams and grading. Course material. Why study AI? What is AI? The Turing test. Rationality. Branches of AI. Research disciplines connected to and at the foundation of AI. Brief history of AI. Challenges for the future. Overview of class syllabus. • 02-Intelligent Agents. [AIMA Ch 2] What is an intel ...
Belief Revision in Multi-Agent Systems
... In many AI applications problem solving entities often have to make decisions based on partial, imprecise, and ever changing information. However in systems in which several agents cooperate with one another within a decentralised control regime, the information management problem is exacerbated sti ...
... In many AI applications problem solving entities often have to make decisions based on partial, imprecise, and ever changing information. However in systems in which several agents cooperate with one another within a decentralised control regime, the information management problem is exacerbated sti ...
Formalisms for Multi-Agent Systems
... mental attitudes and temporal aspects, they are being used to significant effect. The Z specification language in particular has been adopted by d’Inverno and Luck as a means of constructing a formal agent framework (Luck and d’Inverno, 1995) within which they have been able to consider several dist ...
... mental attitudes and temporal aspects, they are being used to significant effect. The Z specification language in particular has been adopted by d’Inverno and Luck as a means of constructing a formal agent framework (Luck and d’Inverno, 1995) within which they have been able to consider several dist ...
Chapter 8 Multi
... lowered. In these circumstances, we would want to fire the specific rule, but not the general rule, although the condition parts of both are met. When a rule has been fired by carrying out its action part, the rule interpreter cycles round and looks again at all the rules to find which to fire next. ...
... lowered. In these circumstances, we would want to fire the specific rule, but not the general rule, although the condition parts of both are met. When a rule has been fired by carrying out its action part, the rule interpreter cycles round and looks again at all the rules to find which to fire next. ...
Distributed Artificial Intelligence
... fall under this category. Agents also need the ability to reason about their own actions and the needs of other agents. Hence, development of reasoning mechanisms, either logic based or utility based, are important from individual perspective. Finally, the agents need to adapt to changing situations ...
... fall under this category. Agents also need the ability to reason about their own actions and the needs of other agents. Hence, development of reasoning mechanisms, either logic based or utility based, are important from individual perspective. Finally, the agents need to adapt to changing situations ...
Artificial Intelligence Techniques in
... Traffic Control is an area of increasing importance. During the last few decades, traffic demand has increased so rapidly that classical control mechanisms often exhibit serious limitations, thus calling for a new paradigm and decentralized solutions. Artificial intelligence techniques have turned o ...
... Traffic Control is an area of increasing importance. During the last few decades, traffic demand has increased so rapidly that classical control mechanisms often exhibit serious limitations, thus calling for a new paradigm and decentralized solutions. Artificial intelligence techniques have turned o ...
application of multiagent systems in transportation
... pursue some set of goals and perform some set of tasks [2]. The long term goal of DAI is to develop methods that allows agents to interact with each other or with humans as well as humans communicate (or even better). This goal raises a number of difficulties in terms of agents behavior and interact ...
... pursue some set of goals and perform some set of tasks [2]. The long term goal of DAI is to develop methods that allows agents to interact with each other or with humans as well as humans communicate (or even better). This goal raises a number of difficulties in terms of agents behavior and interact ...
Intentional Embodied Agents
... social entity in the classic multi-agent systems sense. The agent has at any given instance a persona and associated with a given persona are a given set of capabilities. The migration and mutation of agents could thus be invoked in two manners. Firstly by the agent itself, reactive mutation/migrati ...
... social entity in the classic multi-agent systems sense. The agent has at any given instance a persona and associated with a given persona are a given set of capabilities. The migration and mutation of agents could thus be invoked in two manners. Firstly by the agent itself, reactive mutation/migrati ...
Intelligent Agents
... through a user acting as a middle man. MYCIN, the expert system whose purpose was to assist physicians in the treatment of blood infections in humans, acted as a consultant – it did not operate directly on humans or any other environment. Similarly, expert systems do not act on any environment b ...
... through a user acting as a middle man. MYCIN, the expert system whose purpose was to assist physicians in the treatment of blood infections in humans, acted as a consultant – it did not operate directly on humans or any other environment. Similarly, expert systems do not act on any environment b ...
CTL AgentSpeak(L): a specification language for agent programs
... If the agent ag and his circumstance C are explicit, we simply write BEL(φ), DES(φ), and INTEND(φ). So an agent ag is said to believe the atomic formula φ, if φ is a logical consequence of the beliefs bs of ag. An agent is said to intend the atomic formula φ, if φ is the subject of an achieve goal i ...
... If the agent ag and his circumstance C are explicit, we simply write BEL(φ), DES(φ), and INTEND(φ). So an agent ag is said to believe the atomic formula φ, if φ is a logical consequence of the beliefs bs of ag. An agent is said to intend the atomic formula φ, if φ is the subject of an achieve goal i ...
Creating Human-like Autonomous Players in Real-time
... apply those patterns to agents. This work shows how human knowledge could be transferred, but it cannot improve the intelligence of the agent. Many researchers use Genetic Algorithms (GA) to automatically tune the parameters used in game (Louis and Miles 2005; Stanley, Bryant, and Miikkulainen 2005 ...
... apply those patterns to agents. This work shows how human knowledge could be transferred, but it cannot improve the intelligence of the agent. Many researchers use Genetic Algorithms (GA) to automatically tune the parameters used in game (Louis and Miles 2005; Stanley, Bryant, and Miikkulainen 2005 ...
Coordinating Busy Agents Using a Hybrid Clustering
... new task for which it created the announcement with no agents yet assigned to it. Cluster cm+2 contains any bidding agents not yet assigned to a task. Assigning an agent ai to a cluster that contains a task t j represents a temporary assignment of agent ai to task tj. Each cluster type has two funct ...
... new task for which it created the announcement with no agents yet assigned to it. Cluster cm+2 contains any bidding agents not yet assigned to a task. Assigning an agent ai to a cluster that contains a task t j represents a temporary assignment of agent ai to task tj. Each cluster type has two funct ...
Lecture 10
... The notion of core can be easily extended for this type of games. Given a current CS, no group of agents should have an incentive to leave the current CS. As it is the case for TU games, the core of an NTU game may be empty, and it is possible to define weaker versions of stability. We now give the ...
... The notion of core can be easily extended for this type of games. Given a current CS, no group of agents should have an incentive to leave the current CS. As it is the case for TU games, the core of an NTU game may be empty, and it is possible to define weaker versions of stability. We now give the ...
Diagnosis of Coordination Faults: A Matrix
... model the coordination between the agents in pairs, meaning that their model grows exponentially in the group size and in the number of states. Horling et al. [Horling et al., 1999] uses a fault-model of failures and diagnoses to detect and respond to multi-agent failures. In this model a set of pre ...
... model the coordination between the agents in pairs, meaning that their model grows exponentially in the group size and in the number of states. Horling et al. [Horling et al., 1999] uses a fault-model of failures and diagnoses to detect and respond to multi-agent failures. In this model a set of pre ...
Preface to the AAAI Spring Symposium on AI and the Mitigation of
... Details of the problem of human error and AI’s role in its possible mitigation AI has the potential to mitigate human error by reducing car accidents; airplane accidents; and other mistakes made either mindfully or inadvertently by individuals or teams of humans. One worry about this bright future i ...
... Details of the problem of human error and AI’s role in its possible mitigation AI has the potential to mitigate human error by reducing car accidents; airplane accidents; and other mistakes made either mindfully or inadvertently by individuals or teams of humans. One worry about this bright future i ...
Agent
... be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous. If the meaning of the words ‘machine’ and ‘think’ are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to the questio ...
... be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous. If the meaning of the words ‘machine’ and ‘think’ are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to the questio ...
Should I trust my teammates? An experiment in Heuristic
... been proposed and successfully applied to some simple problems, such as the Minimax-Q [Littman, 1994], the Friendor-Foe Q-Learning [Littman, 2001] and the Nash Q-Learning [Hu and Wellman, 2003]. An recently proposed way of increasing the convergence rate of an RL algorithm is to use heuristic functi ...
... been proposed and successfully applied to some simple problems, such as the Minimax-Q [Littman, 1994], the Friendor-Foe Q-Learning [Littman, 2001] and the Nash Q-Learning [Hu and Wellman, 2003]. An recently proposed way of increasing the convergence rate of an RL algorithm is to use heuristic functi ...
A Client-Server Interactive Tool for Integrated
... actions: turn left, turn right, go forward, grab some gold, shoot an arrow straight ahead, and climb out of the cave. The player can only climb out of the cave from the start location. The player receives a score of -1 for each executed move. Gold bars are worth 1000 points, but only if the player s ...
... actions: turn left, turn right, go forward, grab some gold, shoot an arrow straight ahead, and climb out of the cave. The player can only climb out of the cave from the start location. The player receives a score of -1 for each executed move. Gold bars are worth 1000 points, but only if the player s ...
Exploiting Anonymity and Homogeneity in Factored Dec
... Underwater and Surface Vehicles (AUVs and ASVs), the value of coordinating in order to obtain underwater samples is dependent on the number of agents sampling simultaneously and not on which specific agents are sampling. In fact, most sensor network problems [5, 8] have coordination problems with an ...
... Underwater and Surface Vehicles (AUVs and ASVs), the value of coordinating in order to obtain underwater samples is dependent on the number of agents sampling simultaneously and not on which specific agents are sampling. In fact, most sensor network problems [5, 8] have coordination problems with an ...
MCS 8100/CSC 2114 : Artificial Intelligence
... - Programs that behave (externally) like humans • Computational models of human thought processes ? ...
... - Programs that behave (externally) like humans • Computational models of human thought processes ? ...
IOSR Journal of Computer Engineering (IOSR-JCE)
... The main objective is concerns with the behavior of intelligent agents in n ew environments. How these intelligent agents react in the new environments? Here we try to provide the Universal Artificial Intelligence for intelligent agent i.e. it will work properly in unknown computable environments. U ...
... The main objective is concerns with the behavior of intelligent agents in n ew environments. How these intelligent agents react in the new environments? Here we try to provide the Universal Artificial Intelligence for intelligent agent i.e. it will work properly in unknown computable environments. U ...
Slides
... What does this family of distributions mean? It just assigns probabilities to multi-agent environments. Complex agents with complex/adaptive behaviour are much more likely in this distribution, for large values of i. The distribution is completely different for low and high values of i. Hi ...
... What does this family of distributions mean? It just assigns probabilities to multi-agent environments. Complex agents with complex/adaptive behaviour are much more likely in this distribution, for large values of i. The distribution is completely different for low and high values of i. Hi ...