Solving Distributed Constraint Optimization Problems Using Logic
... by each agent is an “ad-hoc” implementation. In this paper, we are interested in investigating the benefits of using declarative programming techniques to solve DCOPs, along with the use of a general constraint solver, used as a black box, as each agent’s local constraint solver. Specifically, we pr ...
... by each agent is an “ad-hoc” implementation. In this paper, we are interested in investigating the benefits of using declarative programming techniques to solve DCOPs, along with the use of a general constraint solver, used as a black box, as each agent’s local constraint solver. Specifically, we pr ...
Automated Agent Decomposition for Classical Planning
... from other agents for every action an agent intends to perform. Dimopoulos et al (2012) propose a multiagent extension of SATPLAN which models assistive actions through “external” preconditions that agents assume to be satisfied by other agents when needed. Our approach differs from these as it prim ...
... from other agents for every action an agent intends to perform. Dimopoulos et al (2012) propose a multiagent extension of SATPLAN which models assistive actions through “external” preconditions that agents assume to be satisfied by other agents when needed. Our approach differs from these as it prim ...
Part 2 - Simon Fraser University
... way back to base, other agents will pick these up (making the trail fainter) – If agents find that a trail didn’t lead to more samples, they won’t reinforce trail • Modified set of behaviours: 1. If detect an obstacle then change direction 2. If carrying samples and at the base then drop samples 3. ...
... way back to base, other agents will pick these up (making the trail fainter) – If agents find that a trail didn’t lead to more samples, they won’t reinforce trail • Modified set of behaviours: 1. If detect an obstacle then change direction 2. If carrying samples and at the base then drop samples 3. ...
Intelligent Agent in Education
... • Agent as Expert Experts exhibit mastery or extensive knowledge and perform better than the average within a domain. • Agent as Motivator The Motivator suggests his own ideas, verbally encourages and stimulates the learners. • Agent as Mentor An ideal human instructor provides guidance for the lear ...
... • Agent as Expert Experts exhibit mastery or extensive knowledge and perform better than the average within a domain. • Agent as Motivator The Motivator suggests his own ideas, verbally encourages and stimulates the learners. • Agent as Mentor An ideal human instructor provides guidance for the lear ...
KC3617441749
... It is easy to control traffic light system on highways but difficult in urban areas. This problem can be solved by decreasing the stoppage time at the junction to zero, instead of broaden the available traffic network. In this paper, different tools or algorithm are used and everyone has its own con ...
... It is easy to control traffic light system on highways but difficult in urban areas. This problem can be solved by decreasing the stoppage time at the junction to zero, instead of broaden the available traffic network. In this paper, different tools or algorithm are used and everyone has its own con ...
Shared Spirituality Among Human Persons and Artificially Intelligent
... and numerous aspects of high-level programming languages (with some data structures originally envisioned to model human memory structures). In addition, many advances in weak artificial intelligence, where computers approach or exceed human-level intelligence in a narrow, non-extensible domain, hav ...
... and numerous aspects of high-level programming languages (with some data structures originally envisioned to model human memory structures). In addition, many advances in weak artificial intelligence, where computers approach or exceed human-level intelligence in a narrow, non-extensible domain, hav ...
Framework and Complexity Results for Coordinating Non
... problems that can be solved by loosely-coordinated agents that are able to plan and act autonomously, but need to coordinate with respect to the task allocation (e.g., negotiating about the subtasks to be assigned). Typical tasks that can be solved in this way are reconnaissance tasks and simple pic ...
... problems that can be solved by loosely-coordinated agents that are able to plan and act autonomously, but need to coordinate with respect to the task allocation (e.g., negotiating about the subtasks to be assigned). Typical tasks that can be solved in this way are reconnaissance tasks and simple pic ...
Intelligent Agents
... explain and predict its behavior we have little temptation to imagine intelligence. With the same object, therefore, it is possible that one man would consider it as intelligent and another would not; the second man would have found out the rules of its behavior. (Alan Turing, 1947) ...
... explain and predict its behavior we have little temptation to imagine intelligence. With the same object, therefore, it is possible that one man would consider it as intelligent and another would not; the second man would have found out the rules of its behavior. (Alan Turing, 1947) ...
The AI Rebellion: Changing the Narrative
... episode will be triggered, and/or how it will be carried out. Efficacy, the individual’s expectation that his/her rebellion can have the desired effect, has been shown to often fulfill such a role in human protest (van Stekelenburg and Klandermans, 2010)). Certain factors (e.g., emotion) can be in e ...
... episode will be triggered, and/or how it will be carried out. Efficacy, the individual’s expectation that his/her rebellion can have the desired effect, has been shown to often fulfill such a role in human protest (van Stekelenburg and Klandermans, 2010)). Certain factors (e.g., emotion) can be in e ...
The AI Rebellion: Changing the Narrative
... episode will be triggered, and/or how it will be carried out. Efficacy, the individual’s expectation that his/her rebellion can have the desired effect, has been shown to often fulfill such a role in human protest (van Stekelenburg and Klandermans, 2010)). Certain factors (e.g., emotion) can be in e ...
... episode will be triggered, and/or how it will be carried out. Efficacy, the individual’s expectation that his/her rebellion can have the desired effect, has been shown to often fulfill such a role in human protest (van Stekelenburg and Klandermans, 2010)). Certain factors (e.g., emotion) can be in e ...
programme summary - Department of Informatics
... the second lecture, we shall discuss multilateral negotiation, that is, negotiation involving more than two agents. Finally, the third lecture will introduce and illustrate the notion of argumentation-based negotiation. Here, agents can use argumentation techniques during the negotiation, e.g., to j ...
... the second lecture, we shall discuss multilateral negotiation, that is, negotiation involving more than two agents. Finally, the third lecture will introduce and illustrate the notion of argumentation-based negotiation. Here, agents can use argumentation techniques during the negotiation, e.g., to j ...
Artificial Intelligence
... is captured by the dictum “Everything should be made as simple as possible, but not simpler.” We must build the science on solid foundations; we present the foundations, but only sketch, and give some examples of, the complexity required to build useful intelligent systems. Although the resulting sy ...
... is captured by the dictum “Everything should be made as simple as possible, but not simpler.” We must build the science on solid foundations; we present the foundations, but only sketch, and give some examples of, the complexity required to build useful intelligent systems. Although the resulting sy ...
Improving Construction and Maintenance of Agent-based
... times, the construction of such systems has been a hard and time consuming task, mainly when non-standard features are required. To reduce the effort of building such systems, some tools have been proposed, e.g. shells and application frameworks. Building expert systems by using shells offers signif ...
... times, the construction of such systems has been a hard and time consuming task, mainly when non-standard features are required. To reduce the effort of building such systems, some tools have been proposed, e.g. shells and application frameworks. Building expert systems by using shells offers signif ...
Software Agents - UMBC Agent Web
... Nwana (1996) splits agent research into two main strands: the first beginning about 1977, and the second around 1990. Strand 1, whose roots are mainly in distributed artificial intelligence (DAI), “has concentrated mainly on deliberativetype agents with symbolic internal models.” Such work has contr ...
... Nwana (1996) splits agent research into two main strands: the first beginning about 1977, and the second around 1990. Strand 1, whose roots are mainly in distributed artificial intelligence (DAI), “has concentrated mainly on deliberativetype agents with symbolic internal models.” Such work has contr ...
Survey and Evaluation of Agent Oriented Software Engineering
... approaches, there are a quite number of proposed methodologies and modeling techniques, a selection process for the most prominent methodology is applied to be identified for discussion and evaluation. The selection procedure carried out on the most known publishing internet locations and digital li ...
... approaches, there are a quite number of proposed methodologies and modeling techniques, a selection process for the most prominent methodology is applied to be identified for discussion and evaluation. The selection procedure carried out on the most known publishing internet locations and digital li ...
PDF handout of power point slides
... What does that mean? One that behaves as well as possible given the Environment in which it acts. How should success be ...
... What does that mean? One that behaves as well as possible given the Environment in which it acts. How should success be ...
Creativity in Configuring Affective Agents for Interactive Storytelling
... the idea of emergent narrative that nevertheless requires purposeful authoring (Louchart et al. 2008), in addition to affective and situated competencies, to be successful. Even in a strongly story-based interactive system, autonomously competent agents are valuable if they can be configured to act ...
... the idea of emergent narrative that nevertheless requires purposeful authoring (Louchart et al. 2008), in addition to affective and situated competencies, to be successful. Even in a strongly story-based interactive system, autonomously competent agents are valuable if they can be configured to act ...
CIS 690 (Implementation of High
... • Especially important in knowledge-based expert systems • Of practical important in planning, machine learning – Related questions • How can an agent make rational decisions given beliefs about outcomes of actions? • Specifically, what does it mean (algorithmically) to “choose the best”? ...
... • Especially important in knowledge-based expert systems • Of practical important in planning, machine learning – Related questions • How can an agent make rational decisions given beliefs about outcomes of actions? • Specifically, what does it mean (algorithmically) to “choose the best”? ...
Artificial Intelligence and Economic Theory
... caught up with the best human players, and will, perhaps, be able to overtake even Kasparov, actually the best 'supervisor' available, but this falls well short of learning the game of chess as stated above. 9 This example shows that the problem with supervised ANNs is not that they use information ...
... caught up with the best human players, and will, perhaps, be able to overtake even Kasparov, actually the best 'supervisor' available, but this falls well short of learning the game of chess as stated above. 9 This example shows that the problem with supervised ANNs is not that they use information ...
The Evolutionary Emergence of Socially Intelligent Agents
... Note that the evolutionary concept of species is being used, emphasizing the cladistic (branching) nature of speciation and allowing for interbreeding species. A cross between individuals of different species will probably produce either a very unfit child (which may not develop into a viable adult) ...
... Note that the evolutionary concept of species is being used, emphasizing the cladistic (branching) nature of speciation and allowing for interbreeding species. A cross between individuals of different species will probably produce either a very unfit child (which may not develop into a viable adult) ...
Title Social robotics - Research Repository UCD
... facilitate team building and collaborative behaviour is non-trivial. We describe the Social Robot Architecture, which goes some way toward achieving this through the judicious synthesis of the reactive model with that of the deliberative model. The layered architecture (figure 2) has four fundamenta ...
... facilitate team building and collaborative behaviour is non-trivial. We describe the Social Robot Architecture, which goes some way toward achieving this through the judicious synthesis of the reactive model with that of the deliberative model. The layered architecture (figure 2) has four fundamenta ...
Agents
... 1. Learning Element – responsible for making improvements (on what ever aspect is being learned…) 2. Performance Element – responsible for selecting external actions. In previous parts, this was the entire agent! 3. Critic – gives feedback on how agent is going and determines how performance element ...
... 1. Learning Element – responsible for making improvements (on what ever aspect is being learned…) 2. Performance Element – responsible for selecting external actions. In previous parts, this was the entire agent! 3. Critic – gives feedback on how agent is going and determines how performance element ...
Reinforcement Learning and the Reward Engineering Principle
... Call this type of effort reward engineering; the reinforcement learning agent’s goal is not being changed, but the environment is being partially designed so that reward maximization leads to desirable behaviour. For most concrete cases faced today—by Mars rovers, or by financial agents, for example ...
... Call this type of effort reward engineering; the reinforcement learning agent’s goal is not being changed, but the environment is being partially designed so that reward maximization leads to desirable behaviour. For most concrete cases faced today—by Mars rovers, or by financial agents, for example ...
Reinforcement Learning and the Reward
... agent’s goal is not being changed, but the environment is being partially designed so that reward maximization leads to desirable behaviour. For most concrete cases faced today—by Mars rovers, or by financial agents, for example—the reader should be able to devise ad hoc reward engineering methods t ...
... agent’s goal is not being changed, but the environment is being partially designed so that reward maximization leads to desirable behaviour. For most concrete cases faced today—by Mars rovers, or by financial agents, for example—the reader should be able to devise ad hoc reward engineering methods t ...