Intelligent Agents. - Home ANU
... There are several basic agent architectures: reflex, reflex with state, goal-based, utility-based Learning can be added to any basic architecture and is indeed essential for satisfactory performance in many applications. Rationality requires a learning component – it is necessary to know as much abo ...
... There are several basic agent architectures: reflex, reflex with state, goal-based, utility-based Learning can be added to any basic architecture and is indeed essential for satisfactory performance in many applications. Rationality requires a learning component – it is necessary to know as much abo ...
Space-Time Embedded Intelligence
... design and build programs or machines that are or can become at least as intelligent as humans. We believe that this goal cannot be achieved without a formal, sound and practical theory of artificial intelligence. In the end we seek an equation of practical intelligence, the solution to which could ...
... design and build programs or machines that are or can become at least as intelligent as humans. We believe that this goal cannot be achieved without a formal, sound and practical theory of artificial intelligence. In the end we seek an equation of practical intelligence, the solution to which could ...
cognitive synergy: a universal principle for feasible
... a set of goals, which are then refined by inference, aided by other processes. Terms like “inference” are used very broadly here; for instance there is no commitment to explicit use of a logic engine and, from the point of view of a high-level description like this diagram, inference could just as w ...
... a set of goals, which are then refined by inference, aided by other processes. Terms like “inference” are used very broadly here; for instance there is no commitment to explicit use of a logic engine and, from the point of view of a high-level description like this diagram, inference could just as w ...
session02_deron
... Utilities-based agents • Goals alone are not really enough to generate highquality behavior. • There are action sequences that will get the taxi to its destination, thereby achieving the goal, but so are quicker, safer, more reliable, or cheaper than others. • Goals just provide a crude distinction ...
... Utilities-based agents • Goals alone are not really enough to generate highquality behavior. • There are action sequences that will get the taxi to its destination, thereby achieving the goal, but so are quicker, safer, more reliable, or cheaper than others. • Goals just provide a crude distinction ...
Kognitive Modellierung - Cognitive Modeling
... Why do people show intelligent behavior? • Processing units = simple nodes of the neural network • Nodes can be active or inactive • Nodes are connected with each other by • Excitatory connections • Inhibitory connections • Humans have methods to distribute activation across the units • Humans have ...
... Why do people show intelligent behavior? • Processing units = simple nodes of the neural network • Nodes can be active or inactive • Nodes are connected with each other by • Excitatory connections • Inhibitory connections • Humans have methods to distribute activation across the units • Humans have ...
Interest-Matching Comparisons Using CP-nets Andrew W. Wicker
... The formation of internet-based social networks has revived research on traditional social network models as well as interest-matching, or match-making, systems. In order to automate or augment the process of interestmatching, we describe a method for the comparison of preference orderings represent ...
... The formation of internet-based social networks has revived research on traditional social network models as well as interest-matching, or match-making, systems. In order to automate or augment the process of interestmatching, we describe a method for the comparison of preference orderings represent ...
Extending Universal Intelligence Models with Formal Notion
... has the string α divided into the substrings α1α2…αn, and the descriptions µiδi are independently constructed for each substring, it is natural to try to compress the string µ=µ1µ2…µn (deltas can be ignored on the next level of description since they are interpreted as noise within the RMDL principl ...
... has the string α divided into the substrings α1α2…αn, and the descriptions µiδi are independently constructed for each substring, it is natural to try to compress the string µ=µ1µ2…µn (deltas can be ignored on the next level of description since they are interpreted as noise within the RMDL principl ...
A Client-Server Interactive Tool for Integrated
... creating these agents. In particular, students are taught methods of internally representing information about the external world. They also learn methods for problem solving by searching through large spaces containing possible environment states, and for generating plans to achieve desired goals. ...
... creating these agents. In particular, students are taught methods of internally representing information about the external world. They also learn methods for problem solving by searching through large spaces containing possible environment states, and for generating plans to achieve desired goals. ...
View PDF - CiteSeerX
... data managing. From a computational point of view, the advantages of such an approach is the control of complexity, graceful degradation, support for evolution and replicability [CHAN81]. Interests in this eld may be divided into two major areas: Distributed Problem Solving (DPS) and Multi-Agent Sy ...
... data managing. From a computational point of view, the advantages of such an approach is the control of complexity, graceful degradation, support for evolution and replicability [CHAN81]. Interests in this eld may be divided into two major areas: Distributed Problem Solving (DPS) and Multi-Agent Sy ...
Research Statement
... loss of privacy or unauthorized use. One important aspect is threat analysis — how does an attacker infiltrate a system and what do they want once they are inside. In this thread, we consider the problem of Active Malware Analysis [5], where we learn about the human or software intruder by actively ...
... loss of privacy or unauthorized use. One important aspect is threat analysis — how does an attacker infiltrate a system and what do they want once they are inside. In this thread, we consider the problem of Active Malware Analysis [5], where we learn about the human or software intruder by actively ...
A bayesian computer vision system for modeling human interactions
... framework for building and training models of the behaviors of interest using synthetic agents [16], [17]. Simulation with the agents yields synthetic data that is used to train prior models. These prior models are then used recursively in a Bayesian framework to fit real behavioral data. This appro ...
... framework for building and training models of the behaviors of interest using synthetic agents [16], [17]. Simulation with the agents yields synthetic data that is used to train prior models. These prior models are then used recursively in a Bayesian framework to fit real behavioral data. This appro ...
A CYBERNETIC VIEW OF ARTIFICIAL INTELLIGENCE José Mira
... Finally, a fourth cause of disparity could be the oblivion of the solid work made by cybernetics in the “bottom-up” approach to intelligence, in terms of neural mechanisms, instead of using the dominant representational approach. In this work we reflect on these causes of disparity from a cybernetics ...
... Finally, a fourth cause of disparity could be the oblivion of the solid work made by cybernetics in the “bottom-up” approach to intelligence, in terms of neural mechanisms, instead of using the dominant representational approach. In this work we reflect on these causes of disparity from a cybernetics ...
distance learning system «Web
... • Text Book is the significant module of system. • Theoretical material is presented in the Text Book according to learning plans of Ministry of Education and Science of Ukraine ...
... • Text Book is the significant module of system. • Theoretical material is presented in the Text Book according to learning plans of Ministry of Education and Science of Ukraine ...
Introduction to Cognitive Science
... Models are autonomous agents, i.e. they are only partially dependent on theories and phenomena Models serve as instruments for investigation in science. ...
... Models are autonomous agents, i.e. they are only partially dependent on theories and phenomena Models serve as instruments for investigation in science. ...
PPT
... It is perhaps never logically required even for humans, but expressing reasonably briefly what is actually known about the state of the machine in a particular situation may require mental qualities or qualities isomorphic to them. Theories of belief, knowledge and wanting can be constructed for mac ...
... It is perhaps never logically required even for humans, but expressing reasonably briefly what is actually known about the state of the machine in a particular situation may require mental qualities or qualities isomorphic to them. Theories of belief, knowledge and wanting can be constructed for mac ...
CS140-FSMinGames
... • Encapsulate all agent data structures. • And so agents can’t trash each other or the game. • Share global data structures on maps, etc. Agent 1 Agent 2 Player Game ...
... • Encapsulate all agent data structures. • And so agents can’t trash each other or the game. • Share global data structures on maps, etc. Agent 1 Agent 2 Player Game ...
Proceedings of the Workshop “Formalizing Mechanisms for Artificial
... At the knowledge layer, SNeRE connects the agent’s reasoning and acting capabilities through the management of policies and plans. An example policy (stated in English from the agent’s perspective) is, “Whenever there is an obstacle close in front of me, I should move back, then turn, then resume op ...
... At the knowledge layer, SNeRE connects the agent’s reasoning and acting capabilities through the management of policies and plans. An example policy (stated in English from the agent’s perspective) is, “Whenever there is an obstacle close in front of me, I should move back, then turn, then resume op ...
PDF
... Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of environment states. To choose effectively where to spend a costly planning step, classic prioritized sweeping uses a simple ...
... Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of environment states. To choose effectively where to spend a costly planning step, classic prioritized sweeping uses a simple ...
View PDF - Advances in Cognitive Systems
... multifaceted phenomenon, even partial accounts should incorporate multiple capabilities and aim to explain how these different processes can work together to support high-level mental activities of the sort observed regularly in humans. This systems perspective was a recurring theme that held for ma ...
... multifaceted phenomenon, even partial accounts should incorporate multiple capabilities and aim to explain how these different processes can work together to support high-level mental activities of the sort observed regularly in humans. This systems perspective was a recurring theme that held for ma ...
Reexamining Behavior-Based Artificial Intelligence
... representation” as a mantra, most attributed the impressive success of Brooks approach to the fact that he had created abstracted primitives — the action/perception modules. Because these primitive units could sort out many of the details of a problem themselves, they made the composition of intelli ...
... representation” as a mantra, most attributed the impressive success of Brooks approach to the fact that he had created abstracted primitives — the action/perception modules. Because these primitive units could sort out many of the details of a problem themselves, they made the composition of intelli ...
Learning Study Guide
... Hand Luke”. Identify scenes from the movie that represents each drawback. Cognitive Learning What is Cognitive Learning? Who was Wolfgang Kohler? What is Insight Learning? Explain his experiment. What is Latent Learning? Who was Edward Tolman? Explain Explain his experiment. How do we use Cognitive ...
... Hand Luke”. Identify scenes from the movie that represents each drawback. Cognitive Learning What is Cognitive Learning? Who was Wolfgang Kohler? What is Insight Learning? Explain his experiment. What is Latent Learning? Who was Edward Tolman? Explain Explain his experiment. How do we use Cognitive ...
Responsible Agent Behavior
... ociety is fundamentally and unequivocally set up to hold individuals accountable for their actions. When agents act on a user’s behalf, however, the legal and social ramifications can be obscure. While researchers in artificial intelligence (AI) focus primarily on the intelligence of agents, we are ...
... ociety is fundamentally and unequivocally set up to hold individuals accountable for their actions. When agents act on a user’s behalf, however, the legal and social ramifications can be obscure. While researchers in artificial intelligence (AI) focus primarily on the intelligence of agents, we are ...
artificial intelligence techniques for advanced smart home
... agent spaces and the space interconnect, in which status of all devices can be transparently accessed despite of the location of the agent. Due to the location transparency, an agent or a newly attached home device can easily get the information of another agent by taking or reading the information ...
... agent spaces and the space interconnect, in which status of all devices can be transparently accessed despite of the location of the agent. Due to the location transparency, an agent or a newly attached home device can easily get the information of another agent by taking or reading the information ...
Questions Arising from a Proto-Neural Cognitive Architecture
... biology of neurons at least at the level of the spiking behaviour of individual neurons. There is still much detail that the spiking model obscures. For example, the effects of different neurotransmitters, or of the length and thickness of axonal fibres, is subsumed in the spiking model, and the res ...
... biology of neurons at least at the level of the spiking behaviour of individual neurons. There is still much detail that the spiking model obscures. For example, the effects of different neurotransmitters, or of the length and thickness of axonal fibres, is subsumed in the spiking model, and the res ...