Policy Communication for Coordination with Unknown Teammates
... observing the behavior of an unknown team in a comparatively small section of the domain’s state space. This is particularly true in cases where the team attempts repeated trials with static initial conditions. It is, therefore, beneficial for agents to reason over what information about teammates t ...
... observing the behavior of an unknown team in a comparatively small section of the domain’s state space. This is particularly true in cases where the team attempts repeated trials with static initial conditions. It is, therefore, beneficial for agents to reason over what information about teammates t ...
Two Paradigms Are Better Than One, And Multiple
... interest, each evolving purely to increase its pay-in. We want to ensure that this evolution nonetheless promotes the overall functioning of the whole system. Starting evolution from random computer programs would take a long time, but using economic rewards as a management tool seems promising. In ...
... interest, each evolving purely to increase its pay-in. We want to ensure that this evolution nonetheless promotes the overall functioning of the whole system. Starting evolution from random computer programs would take a long time, but using economic rewards as a management tool seems promising. In ...
Artificial Intelligence for Human-Robot Interaction: Papers from the
... ESM and CP-nets Participants also reported that they enjoyed responding to ESM surveys, as it helped them become more aware of their emotions and behavior. However, one shortcoming was that the surveys were sometimes overly invasive or occurred when participants could not respond (such as during cla ...
... ESM and CP-nets Participants also reported that they enjoyed responding to ESM surveys, as it helped them become more aware of their emotions and behavior. However, one shortcoming was that the surveys were sometimes overly invasive or occurred when participants could not respond (such as during cla ...
What is AI?
... Mathematica (a famous book by Alfred North Whitehead and Bertrand Russell on logic and mathematics). See http://www.dartmouth.edu/~ai50/homepage.html for a conference celebrating the 50th anniversary of the Dartmouth ...
... Mathematica (a famous book by Alfred North Whitehead and Bertrand Russell on logic and mathematics). See http://www.dartmouth.edu/~ai50/homepage.html for a conference celebrating the 50th anniversary of the Dartmouth ...
Lecture 1 Course Introduction Artificial Intelligence
... Every art and every inquiry, and similarly every action and pursuit, is thought to aim at some good However, humans do not always act rationally 1) Approach more amenable to scientific development than approaches based on human behaviour or human thought. 2) Leads to study correct inference and gene ...
... Every art and every inquiry, and similarly every action and pursuit, is thought to aim at some good However, humans do not always act rationally 1) Approach more amenable to scientific development than approaches based on human behaviour or human thought. 2) Leads to study correct inference and gene ...
Learning Agent Models in SeSAm (Demonstration)
... The learning architecture explores the combinations of perceptions and actions, which are evaluated based on a utility value, estimated using the objective function. The final model should be abstracted into a decision tree format, which not only is an intuitive notation for decision-making processe ...
... The learning architecture explores the combinations of perceptions and actions, which are evaluated based on a utility value, estimated using the objective function. The final model should be abstracted into a decision tree format, which not only is an intuitive notation for decision-making processe ...
CFP-Agent
... – Support to accurate identification of specific information – It should couple a vision for contents (classes, attributes, etc) to a functional vision (pages can be lists, messages, ...
... – Support to accurate identification of specific information – It should couple a vision for contents (classes, attributes, etc) to a functional vision (pages can be lists, messages, ...
Matching Conflicts: Functional Validation of Agents
... This validation is done at the beginning of the run or whenevera previously validated agent has failed and a new agent must be located to continue operation. This functional validation is entirely different from issues of authentication and certification. The performance and correctness of the remot ...
... This validation is done at the beginning of the run or whenevera previously validated agent has failed and a new agent must be located to continue operation. This functional validation is entirely different from issues of authentication and certification. The performance and correctness of the remot ...
Deontic Cognitive Event Calculus - Rensselaer Polytechnic Institute
... Govindarajulu 2013). Rules R11a and R11b enable an agent which believes in {φ2 , . . . , φn } to also believe ψ if {φ1 , . . . , φn } ` ψ. Some readers may be uncomfortable with the duo of R11a and R11b , but we have included them as this is not only realistic but also necessary when agents represen ...
... Govindarajulu 2013). Rules R11a and R11b enable an agent which believes in {φ2 , . . . , φn } to also believe ψ if {φ1 , . . . , φn } ` ψ. Some readers may be uncomfortable with the duo of R11a and R11b , but we have included them as this is not only realistic but also necessary when agents represen ...
Problem Solving.pps
... – Possibly agent may need to consider every alternative action sequences leading to the goal search for a sequence leading to goal ...
... – Possibly agent may need to consider every alternative action sequences leading to the goal search for a sequence leading to goal ...
Application of multi-agent systems and ambient intelligence
... material flows at each point of a river basin, is not realistic (Wasson et al., 2003). It seems that this approach failed (Beven, 1989) due to two reasons: z Difficulties of a conceptual nature related either to grid discretisation, or to the physical laws used (e.g. Darcy’s law was developed for ho ...
... material flows at each point of a river basin, is not realistic (Wasson et al., 2003). It seems that this approach failed (Beven, 1989) due to two reasons: z Difficulties of a conceptual nature related either to grid discretisation, or to the physical laws used (e.g. Darcy’s law was developed for ho ...
2 Multi-agent paradigm
... (dispatcher of the water management company). As there work several dispatchers in the company, the knowledge acquisition has to be organized using methods of knowledge engineering and knowledge management (see e.g. (Awad and Ghaziri, 2003)). Except consultation with domain experts, data-mining meth ...
... (dispatcher of the water management company). As there work several dispatchers in the company, the knowledge acquisition has to be organized using methods of knowledge engineering and knowledge management (see e.g. (Awad and Ghaziri, 2003)). Except consultation with domain experts, data-mining meth ...
Artificial Intelligence
... E.g., performance measure of a vacuum-cleaner agent could be amount of dirt cleaned up, amount of time taken, amount of electricity consumed, amount of noise generated, etc. ...
... E.g., performance measure of a vacuum-cleaner agent could be amount of dirt cleaned up, amount of time taken, amount of electricity consumed, amount of noise generated, etc. ...
Ensuring Reasoning Consistency in Hierarchical Architectures
... Soar agents in these domains. Wesummarize our experimental results as follows: 1) HCagents require less knowledgethan the original agents, because no explicit across-level consistency knowledgeis necessary; 2) knowledgeaccess time in hierarchical consistency increases slightly, due to additional arc ...
... Soar agents in these domains. Wesummarize our experimental results as follows: 1) HCagents require less knowledgethan the original agents, because no explicit across-level consistency knowledgeis necessary; 2) knowledgeaccess time in hierarchical consistency increases slightly, due to additional arc ...
Artificial Understanding: Do you mean it?
... processes and for its interactions (see John Searl 1980; and Tom Ziemke 2003, 2001, 1999. But see also Steve Harnad 1990 for a less pessimistic version). However, the above criticisms may have to be interpreted at a different light if we recognize the fact that brains assign meanings to things and e ...
... processes and for its interactions (see John Searl 1980; and Tom Ziemke 2003, 2001, 1999. But see also Steve Harnad 1990 for a less pessimistic version). However, the above criticisms may have to be interpreted at a different light if we recognize the fact that brains assign meanings to things and e ...
Distribution of Strategies in a Spatial Multi-Agent Game
... In order to illustrate the spatio-temporal evolution we have restricted the computer simulation here to only three strategies. The more complex (and less concise) case of eight strategies is discussed in detail in [11, 9, 10]. The three strategies were chosen as sD, sATFT and gTFT (s = 0, 1, 6) for ...
... In order to illustrate the spatio-temporal evolution we have restricted the computer simulation here to only three strategies. The more complex (and less concise) case of eight strategies is discussed in detail in [11, 9, 10]. The three strategies were chosen as sD, sATFT and gTFT (s = 0, 1, 6) for ...
What is Artificial Intelligence?
... 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, New Hampshire. The study is to proceed on the basis of th ...
... 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, New Hampshire. The study is to proceed on the basis of th ...
A Tractable Heuristic that Maximizes Global Utility through Local
... (nor even, ahead of time, of the tasks that will be assigned to the agents). The global activity is determined by the set of individual plans, which are generated in parallel, according to the agents’ local views. In other words, in our model the agents receive tasks, and generate plans for those ta ...
... (nor even, ahead of time, of the tasks that will be assigned to the agents). The global activity is determined by the set of individual plans, which are generated in parallel, according to the agents’ local views. In other words, in our model the agents receive tasks, and generate plans for those ta ...
Decision support system
... • Geographic information system (GIS) – DSS designed specifically to analyze spatial information • Spatial information is any information in map form • Businesses use GIS software to analyze information, generate business intelligence, and make decisions ...
... • Geographic information system (GIS) – DSS designed specifically to analyze spatial information • Spatial information is any information in map form • Businesses use GIS software to analyze information, generate business intelligence, and make decisions ...
Knowledge-based agents
... Agents decide which action to perform based on their internal state. The internal state of agents can be specified in terms of high-level abstract concepts such as belief, desire, goal, intention, plan, and action. ...
... Agents decide which action to perform based on their internal state. The internal state of agents can be specified in terms of high-level abstract concepts such as belief, desire, goal, intention, plan, and action. ...
CS 430 Lecture 4
... always enough to decide what to do next. Correct decision often depends on what state the agent it trying to get to. Add one or more goals that describe situations that are desirable. May require searching and planning to determine correct action. ...
... always enough to decide what to do next. Correct decision often depends on what state the agent it trying to get to. Add one or more goals that describe situations that are desirable. May require searching and planning to determine correct action. ...
Distributed Intelligent Microgrid Control Using Multi
... DERs and loads in the simulation via analog and digital I/O port of the Opal-RT system. The communication between agentsuses Zigbee wireless communication protocol,whichis a low-cost, low-power, and wireless mesh network standard. Therefore, agents can communicate with other agents by using either p ...
... DERs and loads in the simulation via analog and digital I/O port of the Opal-RT system. The communication between agentsuses Zigbee wireless communication protocol,whichis a low-cost, low-power, and wireless mesh network standard. Therefore, agents can communicate with other agents by using either p ...
Simulation de comportements appliquée aux jeux vidéos
... requirement that differentiates it from the domain of artificial intelligence from which it naturally emerged: the goal of A.I. is to produce intelligent behavior, while the goal of behavior simulation is to produce credible behavior. This means seeking less objective effectiveness in favor of a con ...
... requirement that differentiates it from the domain of artificial intelligence from which it naturally emerged: the goal of A.I. is to produce intelligent behavior, while the goal of behavior simulation is to produce credible behavior. This means seeking less objective effectiveness in favor of a con ...
Ten Years of Autonomous Agents and Multiagent Systems
... Unsurprisingly, many of the intellectual roots of multiagent systems research can be found in the field of distributed problem solving, and that subfield continues to be very active. The article Distributed Problem Solving by William Yeoh and Makoto Yokoo focuses on distributed constraint reasoning ...
... Unsurprisingly, many of the intellectual roots of multiagent systems research can be found in the field of distributed problem solving, and that subfield continues to be very active. The article Distributed Problem Solving by William Yeoh and Makoto Yokoo focuses on distributed constraint reasoning ...