The Nature of the Social Agent - Digital Collections
... form to this diversity, while still encompassing it all. Our attempt is outlined in Tables 1 and 2. It is an analysis that consists of two sequences. In the first sequence, we start with a maximally capable agent and successively restrict its architecture4, i.e., its information processing capabilit ...
... form to this diversity, while still encompassing it all. Our attempt is outlined in Tables 1 and 2. It is an analysis that consists of two sequences. In the first sequence, we start with a maximally capable agent and successively restrict its architecture4, i.e., its information processing capabilit ...
Automating Operational Business Decisions Using Artificial
... and the complex relations between them. This makes the task time consuming and complex for humans to carry out accurately. Algorithms could support or even take over this task by learning to make certain decisions automatically as part of an Artificial Intelligence (AI) system. The research area of ...
... and the complex relations between them. This makes the task time consuming and complex for humans to carry out accurately. Algorithms could support or even take over this task by learning to make certain decisions automatically as part of an Artificial Intelligence (AI) system. The research area of ...
CS 561a: Introduction to Artificial Intelligence
... AUVSI autonomous submarine competition • Students build fully autonomous submarines • Submarines must pass through a gate, locate bins, drop markers into the bins, locate and read barcodes under water, knock off blinking lights, etc ...
... AUVSI autonomous submarine competition • Students build fully autonomous submarines • Submarines must pass through a gate, locate bins, drop markers into the bins, locate and read barcodes under water, knock off blinking lights, etc ...
Logics for Intelligent Agents and Multi
... (wished) options), and goal options are selected believed options. If one views it this way, it looks rather close to Cohen & Levesque’s “Intention is choice (chosen / selected wishes) with commitment", or loosely, wishes that are committed to. Here the commitment acts as a filter. The third one say ...
... (wished) options), and goal options are selected believed options. If one views it this way, it looks rather close to Cohen & Levesque’s “Intention is choice (chosen / selected wishes) with commitment", or loosely, wishes that are committed to. Here the commitment acts as a filter. The third one say ...
CS 561a: Introduction to Artificial Intelligence
... • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • ...
... • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • ...
Introduction to AI - Dr Shahriar Bijani
... If there were machines which bore a resemblance to our bodies and imitated our actions as closely as possible for all practical purposes, we should still have two very certain means of recognizing that they were not real men. The first is that they could never use words, or put together signs, as we ...
... If there were machines which bore a resemblance to our bodies and imitated our actions as closely as possible for all practical purposes, we should still have two very certain means of recognizing that they were not real men. The first is that they could never use words, or put together signs, as we ...
CS 460: Artificial Intelligence
... How to achieve AI? • How is AI research done? • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans ...
... How to achieve AI? • How is AI research done? • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans ...
CS 561a: Introduction to Artificial Intelligence
... • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • ...
... • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • ...
session01
... • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • ...
... • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • ...
session01
... • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • ...
... • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • ...
Osmand Christian - XY Home
... As much as agents help tackling interoperability problems, they also enable negotiation for services and resources. Agents are typically in heterogeneous systems with inherently distributed data, their own control and resources. Interactions become a core part of these agents, especially at run-time ...
... As much as agents help tackling interoperability problems, they also enable negotiation for services and resources. Agents are typically in heterogeneous systems with inherently distributed data, their own control and resources. Interactions become a core part of these agents, especially at run-time ...
Automated Negotiations Among Autonomous Agents
... 3-agent CFG. (a) shows the imputation set, and (b) shows the nucleolus solution in the set. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117 ...
... 3-agent CFG. (a) shows the imputation set, and (b) shows the nucleolus solution in the set. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117 ...
pdf file
... representation expressions, and thus concludes whether or not the human is in such a state. The proposed approach allows to identify human’s cognitive states of at any time point. Furthermore, in case an internal state has been identified that may affect the performance of the human in a negative wa ...
... representation expressions, and thus concludes whether or not the human is in such a state. The proposed approach allows to identify human’s cognitive states of at any time point. Furthermore, in case an internal state has been identified that may affect the performance of the human in a negative wa ...
Accepting Optimally in Automated Negotiation with Incomplete
... Suppose player B is involved in a bilateral negotiation with private preference information, and at some point in time, he has decided that he is satisfied with a utility around u, called his target utility. However, there are many possible bids with approximately this utility for player B. As usual ...
... Suppose player B is involved in a bilateral negotiation with private preference information, and at some point in time, he has decided that he is satisfied with a utility around u, called his target utility. However, there are many possible bids with approximately this utility for player B. As usual ...
PDF file
... In his pioneering paper published in 1950 titled “Computing Machinery and Intelligence” [1], Alan Turing envisioned a machine that can learn, which he called “child machine.” He wrote: “Our hope is that there is so little mechanism in the child brain that something like it can be easily programmed. ...
... In his pioneering paper published in 1950 titled “Computing Machinery and Intelligence” [1], Alan Turing envisioned a machine that can learn, which he called “child machine.” He wrote: “Our hope is that there is so little mechanism in the child brain that something like it can be easily programmed. ...
Architectures and Idioms: Making Progress in Agent Design
... constrains A2 in some way. On the other hand, if f1 cannot be expressed in A2 without altering the latter architecture, then A1 extends A2 . These conditions are not mutually exclusive — two architectures generally both constrain and extend each other, often in multiple ways. Identifying these point ...
... constrains A2 in some way. On the other hand, if f1 cannot be expressed in A2 without altering the latter architecture, then A1 extends A2 . These conditions are not mutually exclusive — two architectures generally both constrain and extend each other, often in multiple ways. Identifying these point ...
COMBINED ARTIFICIAL INTELLIGENCE BEHAVIOUR SYSTEMS IN
... store millions of individual memory items and how this can be achieved this in an artificial system, retaining speed and capacity. In searching for a way to overcome these limitations in existing AI methodologies, it can be shown that instead of adjusting or re-designing these existing methodologies ...
... store millions of individual memory items and how this can be achieved this in an artificial system, retaining speed and capacity. In searching for a way to overcome these limitations in existing AI methodologies, it can be shown that instead of adjusting or re-designing these existing methodologies ...
The Specification of Agent Behavior by Ordinary People: A Case Study
... ensure that any (perhaps unexpected) instantiation of that template by a naive user will function properly (e.g., do no harm [32], generate no errors)? • Understandability: When executing a template, how can an agent explain its actions to the humans (or other agents) that are involved? This paper i ...
... ensure that any (perhaps unexpected) instantiation of that template by a naive user will function properly (e.g., do no harm [32], generate no errors)? • Understandability: When executing a template, how can an agent explain its actions to the humans (or other agents) that are involved? This paper i ...
Solving Complex Logistics Problems with Multi
... dependent, the role of logistics is becoming more and more important (Olavarrieta & Ellinger, 1997). In logistics, the objective of service providers is to fulfill all customers’ demands while adapting to dynamic changes of logistics networks so as to achieve a high degree of customer satisfaction a ...
... dependent, the role of logistics is becoming more and more important (Olavarrieta & Ellinger, 1997). In logistics, the objective of service providers is to fulfill all customers’ demands while adapting to dynamic changes of logistics networks so as to achieve a high degree of customer satisfaction a ...
Multirobot Coordination for Space Exploration
... agents set to explore an area of an extraterrestrial body. Their goal is to observe a series of points of interest, and gain as much knowledge about these points as possible on a teamwide level. This means that ideally each agent within the multiagent system will cooperate toward the common good, bu ...
... agents set to explore an area of an extraterrestrial body. Their goal is to observe a series of points of interest, and gain as much knowledge about these points as possible on a teamwide level. This means that ideally each agent within the multiagent system will cooperate toward the common good, bu ...
A Quotient Construction on Markov Chains with
... which are fully determined by a transition matrix and an initial distribution. For example, in an earlier paper [14], we analyzed the dynamics of Young’s adaptive learning model in repeated games [16], which models the behavior of players over time as a Markov chain. In fact, we considered the more ...
... which are fully determined by a transition matrix and an initial distribution. For example, in an earlier paper [14], we analyzed the dynamics of Young’s adaptive learning model in repeated games [16], which models the behavior of players over time as a Markov chain. In fact, we considered the more ...
Negotiating Socially Optimal Allocations of Resources: An Overview
... number of different interpretations of the concept of social welfare. In particular, we show how certain classes of deals regarding the exchange of resources allow us to guarantee that a socially optimal allocation of resources will be reached eventually. These results may be interpreted as the emer ...
... number of different interpretations of the concept of social welfare. In particular, we show how certain classes of deals regarding the exchange of resources allow us to guarantee that a socially optimal allocation of resources will be reached eventually. These results may be interpreted as the emer ...
I Agents, Bodies, Constraints, Dynamics, and Evolution Alan K. Mackworth
... the opportunity to give the presidential address at AAAI-07 in Vancouver, my hometown. This article is based on that talk. That opportunity allowed me to step back and think of the big picture, the long perspective. The way to read the title, “Agents, Bodies, Constraints, Dynamics, and Evolution,” a ...
... the opportunity to give the presidential address at AAAI-07 in Vancouver, my hometown. This article is based on that talk. That opportunity allowed me to step back and think of the big picture, the long perspective. The way to read the title, “Agents, Bodies, Constraints, Dynamics, and Evolution,” a ...
Universal Artificial Intelligence
... • 61, since this is the next prime • 60, since this is the order of the next simple group Conclusion: We prefer answer 61, since primes are a more familiar concept than simple groups. On-Line Encyclopedia of Integer Sequences: http://www.research.att.com/∼njas/sequences/ ...
... • 61, since this is the next prime • 60, since this is the order of the next simple group Conclusion: We prefer answer 61, since primes are a more familiar concept than simple groups. On-Line Encyclopedia of Integer Sequences: http://www.research.att.com/∼njas/sequences/ ...