Dynamic Potential-Based Reward Shaping
... longer holds. The proofs require an agent with potentialbased reward shaping and an agent with the above Q-table initialisation to have an identical probability distribution over their next action provided the same history of states, actions and rewards. If the Q-table is initialised with the potent ...
... longer holds. The proofs require an agent with potentialbased reward shaping and an agent with the above Q-table initialisation to have an identical probability distribution over their next action provided the same history of states, actions and rewards. If the Q-table is initialised with the potent ...
Artificial Intelligence: Overview
... ♦ Agents interact with environments through actuators and sensors ♦ The agent function describes what the agent does in all circumstances ♦ The performance measure evaluates the environment sequence ♦ A perfectly rational agent maximizes expected performance ♦ Agent programs implement (some) agent f ...
... ♦ Agents interact with environments through actuators and sensors ♦ The agent function describes what the agent does in all circumstances ♦ The performance measure evaluates the environment sequence ♦ A perfectly rational agent maximizes expected performance ♦ Agent programs implement (some) agent f ...
Lecture transparencies
... ● However, the test does not provide much traction on the question of how to actually build an intelligent system. ...
... ● However, the test does not provide much traction on the question of how to actually build an intelligent system. ...
On Maxsum Fair Cake Divisions
... assign the same value to their own pieces.1 The existence of allocations satisfying EF and EQ is guaranteed under very mild assumptions and, in fact, both can be satisfied simultaneously (Alon 1987). Fixing one of the two fairness criteria, cake cutting algorithms identify fair allocations. However, ...
... assign the same value to their own pieces.1 The existence of allocations satisfying EF and EQ is guaranteed under very mild assumptions and, in fact, both can be satisfied simultaneously (Alon 1987). Fixing one of the two fairness criteria, cake cutting algorithms identify fair allocations. However, ...
Situated Comprehension of Imperative Sentences in Embodied
... of the environment. It is context independent; it contains knowledge that is not related to when and where it was acquired. The agent can deliberately store parts of its working memory into semantic memory as concepts. A concept can be retrieved from the semantic memory by placing a cue into a speci ...
... of the environment. It is context independent; it contains knowledge that is not related to when and where it was acquired. The agent can deliberately store parts of its working memory into semantic memory as concepts. A concept can be retrieved from the semantic memory by placing a cue into a speci ...
Ability in a multi-agent context: a model in the situation
... Secondly, several people agree on the fact that two kinds of ability must be distinguished [17, 18, 5, 1]. One can first distinguish what is called “generic ability” by some people (or “ability”by others) and which refers to the agent’s competences to perform an action in normal conditions. “I can o ...
... Secondly, several people agree on the fact that two kinds of ability must be distinguished [17, 18, 5, 1]. One can first distinguish what is called “generic ability” by some people (or “ability”by others) and which refers to the agent’s competences to perform an action in normal conditions. “I can o ...
Pogamut 3 – Virtual Humans Made Simple
... 1. We explicitly focus on the support of newcomers, a feature only Alice and Netlogo and perhaps some Machinima tools share with Pogamut 3. However, these projects tend to support development of agents only by scripting; that is, the agents’ behaviour need to be programmed step-by-step. Instead, in ...
... 1. We explicitly focus on the support of newcomers, a feature only Alice and Netlogo and perhaps some Machinima tools share with Pogamut 3. However, these projects tend to support development of agents only by scripting; that is, the agents’ behaviour need to be programmed step-by-step. Instead, in ...
Intelligent Systems 1 - IIIT
... 2) What is the purpose of thinking? What thoughts should I have out of all the thoughts (logical or otherwise) that I could have? ...
... 2) What is the purpose of thinking? What thoughts should I have out of all the thoughts (logical or otherwise) that I could have? ...
Cognitive Decathlon
... resemblance, requiring that typical inadequacies exhibited by humans also be made, such as appropriate time profiles and error rates. Here, the reproduction of robust qualitative trends may be sufficient to pass the test. A test with a higher fidelity than resemblance might be called verisimilitude. ...
... resemblance, requiring that typical inadequacies exhibited by humans also be made, such as appropriate time profiles and error rates. Here, the reproduction of robust qualitative trends may be sufficient to pass the test. A test with a higher fidelity than resemblance might be called verisimilitude. ...
Multi-Agent Case-Based Diagnosis in the Aircraft Domain
... approach are [16]. Of course, what makes our approach different here is that we are concerned with the development of concrete framework with existing applications. Corchado et al.[5] present in their work an architecture for integrating multi-agent systems, distributed services, and application for ...
... approach are [16]. Of course, what makes our approach different here is that we are concerned with the development of concrete framework with existing applications. Corchado et al.[5] present in their work an architecture for integrating multi-agent systems, distributed services, and application for ...
Approaches to Artificial Intelligence
... One's approach to research in AI seems to depend to a large extent on what propert.ies of int.elligent behaviour one is most. impressed by. For some, it might be the evolut.ionary ant.ecedents of this behaviour in other animals; for others, its biological underpinnings in the central nervous systemj ...
... One's approach to research in AI seems to depend to a large extent on what propert.ies of int.elligent behaviour one is most. impressed by. For some, it might be the evolut.ionary ant.ecedents of this behaviour in other animals; for others, its biological underpinnings in the central nervous systemj ...
Lecture 2 - Artificial Intelligence: Foundations of Computational Agents
... Fully-observable : the agent can observe the state of the world. Partially-observable : there can be a number states that are possible given the agent’s observations. ...
... Fully-observable : the agent can observe the state of the world. Partially-observable : there can be a number states that are possible given the agent’s observations. ...
Pdf - Text of NPTEL IIT Video Lectures
... playing program. The agent has complete knowledge of the board. So everything about the environment is accessible to the agent. So the chess environment is a fully observable environment. Consider again the environment where the agent is playing pokers where the agent cannot see the hand of the oppo ...
... playing program. The agent has complete knowledge of the board. So everything about the environment is accessible to the agent. So the chess environment is a fully observable environment. Consider again the environment where the agent is playing pokers where the agent cannot see the hand of the oppo ...
Class notes 1 (Introduction)
... If we’re going to say that a program thinks like a human, we must have a way of determining how humans think (we need to get inside the actual working of the human mind) If the program’s input/output and timing behaviors match corresponding human behavior, that is evidence that some of the program’s ...
... If we’re going to say that a program thinks like a human, we must have a way of determining how humans think (we need to get inside the actual working of the human mind) If the program’s input/output and timing behaviors match corresponding human behavior, that is evidence that some of the program’s ...
Global Optimization for Multiple Agents - Infoscience
... pickup and delivery locations. Furthermore, the range of the couriers will also be limited. These two restrictions together make that not all possible packet assignments are feasible. The main difference with standard VRP problems [6] is that not all couriers are able to service all packets. Further ...
... pickup and delivery locations. Furthermore, the range of the couriers will also be limited. These two restrictions together make that not all possible packet assignments are feasible. The main difference with standard VRP problems [6] is that not all couriers are able to service all packets. Further ...
Intelligent agents - cse.sc.edu
... else if location == A then return Right else if location == B then return Left What is the right function? Can it be implemented in a small agent program? UNIVERSITY OF SOUTH CAROLINA ...
... else if location == A then return Right else if location == B then return Left What is the right function? Can it be implemented in a small agent program? UNIVERSITY OF SOUTH CAROLINA ...
UT Austin Villa RoboCup 3D Simulation Base Code Release
... A considerable amount of the UT Austin Villa team’s efforts in preparing for RoboCup competitions has been in the area of skill optimization and optimizing parameters for walks and kicks. An example agent for optimizing a kick is provided with the code release. Optimization agents perform some task ...
... A considerable amount of the UT Austin Villa team’s efforts in preparing for RoboCup competitions has been in the area of skill optimization and optimizing parameters for walks and kicks. An example agent for optimizing a kick is provided with the code release. Optimization agents perform some task ...
AAAI Proceedings Template - R3-COP
... no multi-agent planning track at any IPC ever since or before. Understanding all the reasons is beyond our scope, but some observations can still be made regarding MAPL. MAPL builds upon PDDL2.1 and thus it includes PDDL2.1’s main features (typing, numeric fluents, and durative actions), but at the ...
... no multi-agent planning track at any IPC ever since or before. Understanding all the reasons is beyond our scope, but some observations can still be made regarding MAPL. MAPL builds upon PDDL2.1 and thus it includes PDDL2.1’s main features (typing, numeric fluents, and durative actions), but at the ...
Foundations of Artificial Intelligence Outline
... – How to validate? Requires 1) Predicting and testing behavior of human subjects (top-down) or 2) Direct identification from neurological data (bottom-up) Both approaches (roughly, Cognitive Science and Cognitive Neuroscience) are now distinct from AI Both share with AI the following characteristic ...
... – How to validate? Requires 1) Predicting and testing behavior of human subjects (top-down) or 2) Direct identification from neurological data (bottom-up) Both approaches (roughly, Cognitive Science and Cognitive Neuroscience) are now distinct from AI Both share with AI the following characteristic ...
Intelligent Agents: Theory and Practice
... agent-based computing community in just the same way that the question what is intelligence? is embarrassing for the mainstream AI community. The problem is that although the term is widely used, by many people working in closely related areas, it defies attempts to produce a single universally acce ...
... agent-based computing community in just the same way that the question what is intelligence? is embarrassing for the mainstream AI community. The problem is that although the term is widely used, by many people working in closely related areas, it defies attempts to produce a single universally acce ...
Liability for Distributed Artificial Intelligences
... processing environment. The inability of the traditional tort system to evaluate the actions of these ensembles results from the fact that they are indeed ensembles with disparate etiologies, not lone programs authored by a single person or company and residing at a single physical location. ...
... processing environment. The inability of the traditional tort system to evaluate the actions of these ensembles results from the fact that they are indeed ensembles with disparate etiologies, not lone programs authored by a single person or company and residing at a single physical location. ...
Artificial Intelligence: a Promised Land for Web Services
... focus on the situation where providers and requestors are already matched but will at times either make changes to their services or requests. A service is seen to have numerous offerings. The functionality will be the same but the constraints will differ such as authorisation rights and QoS. They s ...
... focus on the situation where providers and requestors are already matched but will at times either make changes to their services or requests. A service is seen to have numerous offerings. The functionality will be the same but the constraints will differ such as authorisation rights and QoS. They s ...
15.2 ARTIFICIAL INTELLIGENCE (p. 464)
... 2. It’s usually the case that the less structure the problem has, the more you’re likely to agonize over the decision, especially if the decision is very important. 3. Also, point out the different approaches to decision making. Management theory says it’s a four step process: intelligence, design, ...
... 2. It’s usually the case that the less structure the problem has, the more you’re likely to agonize over the decision, especially if the decision is very important. 3. Also, point out the different approaches to decision making. Management theory says it’s a four step process: intelligence, design, ...