INTELLIGENT AGENT PLANNING WITH QUASI
... However, although reactive architectures are well-suited for certain problems, they are less suited to others [7]. Therefore, there is a need to investigate hybrid architectures that combine the best of the two extremes. 3. Planning with Quasi-Determined States The classical planning methods use a p ...
... However, although reactive architectures are well-suited for certain problems, they are less suited to others [7]. Therefore, there is a need to investigate hybrid architectures that combine the best of the two extremes. 3. Planning with Quasi-Determined States The classical planning methods use a p ...
The Liability Problem for Autonomous Artificial Agents
... systems liable, provided you can show intent to commit a crime, or foreseeable risk of a harm rising to the level of criminal negligence. To the extent that artificial agents become increasingly complex, those who build or deploy advanced AIs and robotics will not necessarily have intent or foresigh ...
... systems liable, provided you can show intent to commit a crime, or foreseeable risk of a harm rising to the level of criminal negligence. To the extent that artificial agents become increasingly complex, those who build or deploy advanced AIs and robotics will not necessarily have intent or foresigh ...
Designing an Automated Negotiator: Learning What to Bid and
... Multiagent Systems (www.ifaamas.org). All rights reserved. ...
... Multiagent Systems (www.ifaamas.org). All rights reserved. ...
An Architecture for Resource Bounded Agents
... to the goal. The plans are conditional (i.e. actions to be taken depend on observations made during execution), which makes them more generic and means that their quality can be estimated more meaningfully. We also intend for the agent to judge by itself whether it is more beneficial to begin execut ...
... to the goal. The plans are conditional (i.e. actions to be taken depend on observations made during execution), which makes them more generic and means that their quality can be estimated more meaningfully. We also intend for the agent to judge by itself whether it is more beneficial to begin execut ...
What is Artificial Intelligence?
... A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. J. McCarthy, M. L. Minsky, N. Rochester, and C.E. Shannon. August 31, 1955. "We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, N ...
... A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. J. McCarthy, M. L. Minsky, N. Rochester, and C.E. Shannon. August 31, 1955. "We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, N ...
Economic reasoning and artificial intelligence The Harvard
... well rationality theories capture essential human behavior, we note the irony in the prospect that social science theories may turn out to apply with greater fidelity to non-human agent behavior. ...
... well rationality theories capture essential human behavior, we note the irony in the prospect that social science theories may turn out to apply with greater fidelity to non-human agent behavior. ...
AI on the WWW supply and demand agents
... Many potential users, however, have not kept pace with this explosion of passive online information resources. Users are only slowly becoming aware of these databasesindeed, many are barely aware of the very existence of data on the WWW. Then, once they do become aware of these resources, most users ...
... Many potential users, however, have not kept pace with this explosion of passive online information resources. Users are only slowly becoming aware of these databasesindeed, many are barely aware of the very existence of data on the WWW. Then, once they do become aware of these resources, most users ...
Dimensions of Interaction
... process can themselves be communicated, common ground can be extended for process ...
... process can themselves be communicated, common ground can be extended for process ...
Agent - KDD - Kansas State University
... 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 ...
s-cheran-g-gargano
... Reactive: Intelligence behaviour arises as a result of agent’s interaction with environment. Belief - Desire - Intention: What we want? How can we achieve that? ...
... Reactive: Intelligence behaviour arises as a result of agent’s interaction with environment. Belief - Desire - Intention: What we want? How can we achieve that? ...
Do software agents know what they talk about?
... very good on trusted rating services. It then began trying to find a match between available appointment times (supplied by the agents of individual providers through their Web sites) and Pete's and Lucy's busy schedules. (The emphasized keywords indicate terms whose semantics, or meaning, were defi ...
... very good on trusted rating services. It then began trying to find a match between available appointment times (supplied by the agents of individual providers through their Web sites) and Pete's and Lucy's busy schedules. (The emphasized keywords indicate terms whose semantics, or meaning, were defi ...
A “Consciousness” Based Architecture for a Functioning Mind
... and metacognition modules. The various modules (partially) implement several different theories of these various aspects of cognition. The mechanisms used in implementing the several modules have been inspired by a number of different “new AI” techniques. One software agent embodying much of the arc ...
... and metacognition modules. The various modules (partially) implement several different theories of these various aspects of cognition. The mechanisms used in implementing the several modules have been inspired by a number of different “new AI” techniques. One software agent embodying much of the arc ...
Title Embedding intelligent decision making within complex dynamic
... terms of advanced distributed resource control have been pursued with ACES: Adaptive Control for Extreme-scale Stream processing systems which employed a two-tiered approach for adaptive, distributed resource control in environments with variable streaming data rates (?). ACES uses global optimizati ...
... terms of advanced distributed resource control have been pursued with ACES: Adaptive Control for Extreme-scale Stream processing systems which employed a two-tiered approach for adaptive, distributed resource control in environments with variable streaming data rates (?). ACES uses global optimizati ...
original - Kansas State University
... Instantiation of generic skeleton agent: Figs. 2.9 & 2.10, p. 47 R&N 2e function SimpleReflexAgent (percept) returns action static: rules, set of condition-action rules state Interpret-Input (percept) rule Rule-Match (state, rules) action Rule-Action {rule} ...
... Instantiation of generic skeleton agent: Figs. 2.9 & 2.10, p. 47 R&N 2e function SimpleReflexAgent (percept) returns action static: rules, set of condition-action rules state Interpret-Input (percept) rule Rule-Match (state, rules) action Rule-Action {rule} ...
PPT Version - OMICS International
... OMICS Journals are welcoming Submissions •OMICS international welcomes submissions that are original and technically so as to serve both the developing world and developed countries in the best possible way. •OMICS Journals are poised in excellence by publishing high quality research. OMICS interna ...
... OMICS Journals are welcoming Submissions •OMICS international welcomes submissions that are original and technically so as to serve both the developing world and developed countries in the best possible way. •OMICS Journals are poised in excellence by publishing high quality research. OMICS interna ...
Verifying time, memory and communication bounds in systems of
... goal can be achieved if a particular agent, perhaps possessing key information or inferential capabilities, is unable (or unwilling) to contribute more than a given portion of its available computational resources or bandwidth to the problem. There has been considerable work in the agent literature ...
... goal can be achieved if a particular agent, perhaps possessing key information or inferential capabilities, is unable (or unwilling) to contribute more than a given portion of its available computational resources or bandwidth to the problem. There has been considerable work in the agent literature ...
AAAI Proceedings Template
... that makes the RPM test a valuable tool for assessing intelligence in humans. If creativity is in part the ability to develop novel, useful, and effective methods to a problem, then the RPM test's admission of multiple methods adds to its value as a tool for studying creative problem solving. Second ...
... that makes the RPM test a valuable tool for assessing intelligence in humans. If creativity is in part the ability to develop novel, useful, and effective methods to a problem, then the RPM test's admission of multiple methods adds to its value as a tool for studying creative problem solving. Second ...
View - Association for Computational Creativity
... that makes the RPM test a valuable tool for assessing intelligence in humans. If creativity is in part the ability to develop novel, useful, and effective methods to a problem, then the RPM test's admission of multiple methods adds to its value as a tool for studying creative problem solving. Second ...
... that makes the RPM test a valuable tool for assessing intelligence in humans. If creativity is in part the ability to develop novel, useful, and effective methods to a problem, then the RPM test's admission of multiple methods adds to its value as a tool for studying creative problem solving. Second ...
AI Chapter 3: Intelligent Agents - Foundations of Artificial Intelligence
... The action a is optimal if it maximizes the expected value of M , given the evidence provided by P and K. The agent is rational if it always chooses an optimal a. → If the vacuum cleaner bumps into the Hamster, then this can be rational in case → Note: If observation actions are required, they are e ...
... The action a is optimal if it maximizes the expected value of M , given the evidence provided by P and K. The agent is rational if it always chooses an optimal a. → If the vacuum cleaner bumps into the Hamster, then this can be rational in case → Note: If observation actions are required, they are e ...
On-line Error Analysis Using AI techniques A first sight
... as mortgage tax advice, interpreting mass spectra, or planning computer systems. Expert systems, like human experts, are experts only in their field and as such are highly domain specific. In general, expert systems are not intended as cognitive models. It helps (in some cases), if a system reasons ...
... as mortgage tax advice, interpreting mass spectra, or planning computer systems. Expert systems, like human experts, are experts only in their field and as such are highly domain specific. In general, expert systems are not intended as cognitive models. It helps (in some cases), if a system reasons ...
INTELLIGENT AGENT full document
... that carries out tasks on behalf of users). In computer science, the term intelligent agent may be used to refer to a software agent that has some intelligence, regardless if it is not a rational agent by Russell and Norvig's definition. For example, autonomous programs used for operator assistance ...
... that carries out tasks on behalf of users). In computer science, the term intelligent agent may be used to refer to a software agent that has some intelligence, regardless if it is not a rational agent by Russell and Norvig's definition. For example, autonomous programs used for operator assistance ...
Distributed Constraint Satisfaction Algorithm for Complex Local
... agent truth maintenance tasks [7]) can be formalized as distributed CSPs. Therefore, we can consider distributed algorithms for solving distributed CSPs as an important infrastructure in MAS. It must be noted that although algorithms for solving distributed CSPs seem to be similar to parallel/distri ...
... agent truth maintenance tasks [7]) can be formalized as distributed CSPs. Therefore, we can consider distributed algorithms for solving distributed CSPs as an important infrastructure in MAS. It must be noted that although algorithms for solving distributed CSPs seem to be similar to parallel/distri ...
Exploiting Anonymity and Homogeneity in Factored
... While homogeneity and anonymity have broad applicability in multi-agent systems, we specifically focus on multiagent planning problems represented using the rich framework of Decentralized Markov Decision Process (Dec-MDP) [2]. Dec-MDP provides a framework to represent decentralized decision-making ...
... While homogeneity and anonymity have broad applicability in multi-agent systems, we specifically focus on multiagent planning problems represented using the rich framework of Decentralized Markov Decision Process (Dec-MDP) [2]. Dec-MDP provides a framework to represent decentralized decision-making ...