Artificial Intelligence Modelling social action for AI agents
... other agents, and “strong social action”, based on goals about others’ minds and their actions, are distinguished. Special attention is paid to Goal Delegation and Goal Adoption that are considered as the basic ingredients of social commitment and contract, and then of exchange, cooperation, group a ...
... other agents, and “strong social action”, based on goals about others’ minds and their actions, are distinguished. Special attention is paid to Goal Delegation and Goal Adoption that are considered as the basic ingredients of social commitment and contract, and then of exchange, cooperation, group a ...
AI Ch.1 - 서울대 Biointelligence lab
... – Intermediate between the top-down and bottom-up approaches ...
... – Intermediate between the top-down and bottom-up approaches ...
Title Social robotics - Research Repository UCD
... autonomous robots, in particular to addressing the problems of co-ordination and interference. Initial work on agent based robotics emerged from cellular robotics where the robots had limited functionality and relied on swarm like intelligence to achieve their desired task, typically exhibiting emer ...
... autonomous robots, in particular to addressing the problems of co-ordination and interference. Initial work on agent based robotics emerged from cellular robotics where the robots had limited functionality and relied on swarm like intelligence to achieve their desired task, typically exhibiting emer ...
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 ...
Learning in multi-agent systems
... example. A new agent has not yet learned which search engine to try first, or which auction site offers the best bargains. But the situation described also matches the learning problem facing a new-born animal, especially an animal that belongs to a social species like our own. In biology, learning ...
... example. A new agent has not yet learned which search engine to try first, or which auction site offers the best bargains. But the situation described also matches the learning problem facing a new-born animal, especially an animal that belongs to a social species like our own. In biology, learning ...
1. Introduction - 서울대 : Biointelligence lab
... – Intermediate between the top-down and bottom-up approaches ...
... – Intermediate between the top-down and bottom-up approaches ...
IX - AIAI - The University of Edinburgh
... making up a hierarchical description of the process or product. The nodes are related by a set of detailed “Constraints” of various kinds. Finally there can be “Annotations” related to the processes or products, which provide rationale, information and other useful descriptions. The forerunner of
... making up a hierarchical description of the process or product. The nodes are related by a set of detailed “Constraints” of various kinds. Finally there can be “Annotations” related to the processes or products, which provide rationale, information and other useful descriptions. The forerunner of
Part 2 - Simon Fraser University
... Brooks – behavior languages • To illustrate his ideas, Brooks built some systems based on his subsumption architecture • A subsumption architecture is a hierarchy of taskaccomplishing behaviors • Each behavior is a rather simple rule-like structure • Each behavior ‘competes’ with others to exercise ...
... Brooks – behavior languages • To illustrate his ideas, Brooks built some systems based on his subsumption architecture • A subsumption architecture is a hierarchy of taskaccomplishing behaviors • Each behavior is a rather simple rule-like structure • Each behavior ‘competes’ with others to exercise ...
pdf file
... Abstract. Shared understanding and collective power are social phenomena that serve as a form of glue between individual persons. They easily emerge and often involve both cognitive and affective aspects. As the behaviour of each person is based on complex internal mental processes involving, for ex ...
... Abstract. Shared understanding and collective power are social phenomena that serve as a form of glue between individual persons. They easily emerge and often involve both cognitive and affective aspects. As the behaviour of each person is based on complex internal mental processes involving, for ex ...
Agents - computational logic
... in robots) have a role to play in high-risk situations, unsuitable or impossible for humans • In applications where the data, control or resources are distributed: The system can be conceptualised as a collection of co-operating components Fariba Sadri - ICCL 08 Introduction ...
... in robots) have a role to play in high-risk situations, unsuitable or impossible for humans • In applications where the data, control or resources are distributed: The system can be conceptualised as a collection of co-operating components Fariba Sadri - ICCL 08 Introduction ...
project summary - Internet Mapping Services for San Diego Wildfire
... maps and remotely sensed imagery. One major problem for the development of Internet mapping facilities is information overload. It is a challenge for the cartographic community to make the power of Internet mapping accessible to users, but at the same time to help users adapt cartographic concepts a ...
... maps and remotely sensed imagery. One major problem for the development of Internet mapping facilities is information overload. It is a challenge for the cartographic community to make the power of Internet mapping accessible to users, but at the same time to help users adapt cartographic concepts a ...
LOGIC PROGRAMMING - University College Dublin
... A given situation is characterised and matched against a collection of rules specifying appropriate behaviour associated with each of these situations ie situation -action or situated action. Typically the actions associated with a given situation are often very simple and consequently the agents th ...
... A given situation is characterised and matched against a collection of rules specifying appropriate behaviour associated with each of these situations ie situation -action or situated action. Typically the actions associated with a given situation are often very simple and consequently the agents th ...
Cognitive architectures
... and finding significant properties in a large dataset and then generalize to accommodate new data. Therefore such models have difficulties handling complex, noisy and dynamic environments. It is also very difficult to gather higher order capabilities such as creativity or learning. So these models a ...
... and finding significant properties in a large dataset and then generalize to accommodate new data. Therefore such models have difficulties handling complex, noisy and dynamic environments. It is also very difficult to gather higher order capabilities such as creativity or learning. So these models a ...
An Agent Model for Future Autonomic Communications
... one could think at elaborated services to alleviate roads congestion problems. This would imply devices in cars (for computing, sensing and visualization) to interact with devices in streets and crossings (for sensing the current traffic situation and communicate it to cars). Cars could also interac ...
... one could think at elaborated services to alleviate roads congestion problems. This would imply devices in cars (for computing, sensing and visualization) to interact with devices in streets and crossings (for sensing the current traffic situation and communicate it to cars). Cars could also interac ...
Slide - NYU Computer Science
... – Explicit interfaces (e.g. ISA, programming model) are preserved, yet implicit assumptions of the applications are broken – Knowledge of implementation details enables unexpected attacks ...
... – Explicit interfaces (e.g. ISA, programming model) are preserved, yet implicit assumptions of the applications are broken – Knowledge of implementation details enables unexpected attacks ...
Tim Menzies, Paul Compton Artificial Intelligence Laboratory, School
... Note that there is no theoretical barrier to the accurate measurement of any value in any of the poorly-measured domains listed above. However, model construction is a resource-bounded activity. Organisations have limited staff, time, and money. The problems with data collection catalogued above may ...
... Note that there is no theoretical barrier to the accurate measurement of any value in any of the poorly-measured domains listed above. However, model construction is a resource-bounded activity. Organisations have limited staff, time, and money. The problems with data collection catalogued above may ...
Diagnosis of Coordination Faults: A Matrix
... detect discrepancies indicating failures. The model can then be used to pinpoint possible failing components within the system. Previous work presents model-based diagnosis for coordination faults [Kalech and Kaminka, 2005; 2006], however, it models the coordination between every pair of agents as a ...
... detect discrepancies indicating failures. The model can then be used to pinpoint possible failing components within the system. Previous work presents model-based diagnosis for coordination faults [Kalech and Kaminka, 2005; 2006], however, it models the coordination between every pair of agents as a ...
A reinforcement learning model of joy, distress, hope and fear.
... learning is useful from an emotion-theoretic point of view. If emotion and feedbackbased adaptation of behavior is intimately connected in natural agents, and, RL is a computational model of feedback-based adaptation of behavior in animals, then computationally studying the relation between emotion ...
... learning is useful from an emotion-theoretic point of view. If emotion and feedbackbased adaptation of behavior is intimately connected in natural agents, and, RL is a computational model of feedback-based adaptation of behavior in animals, then computationally studying the relation between emotion ...
A Behavior Analytic Paradigm for Adaptive Autonomous Agents
... also important to note that Skinner's analysis appeared implausible at the time it was published because it seemed absurd to claim that learning in a network of input-output relationships (operant learning) could account for behavior of any complexity. However, the subsequent invention of modern neu ...
... also important to note that Skinner's analysis appeared implausible at the time it was published because it seemed absurd to claim that learning in a network of input-output relationships (operant learning) could account for behavior of any complexity. However, the subsequent invention of modern neu ...
agent based frameworks for distributed association rule mining
... Enterprise Java Beans (EJB) , Remote Method Invocation (RMI) and Java Database Connectivity (JDBC) [10]. The most prominent DDM systems developed using client-server architectural are Kensington Enterprise Data Mining Decision Centre [12], IntelliMiner [13] and InterAct [14]. A number of DDM solutio ...
... Enterprise Java Beans (EJB) , Remote Method Invocation (RMI) and Java Database Connectivity (JDBC) [10]. The most prominent DDM systems developed using client-server architectural are Kensington Enterprise Data Mining Decision Centre [12], IntelliMiner [13] and InterAct [14]. A number of DDM solutio ...