The Experiment - Artificial Life Research – Czech Technical University
... systems. Resulting systems are able to act in a very complex and dynamic environment and can incorporate various levels of intelligence. They are able to act in very different domains with small changes. They evoke the seeming of life, but they are a form of artificial life only. The implementation ...
... systems. Resulting systems are able to act in a very complex and dynamic environment and can incorporate various levels of intelligence. They are able to act in very different domains with small changes. They evoke the seeming of life, but they are a form of artificial life only. The implementation ...
FA08 cs188 lecture 1..
... Rational behavior: doing the “right thing” The right thing: that which is expected to maximize goal achievement, given the available information Doesn't necessarily involve thinking, e.g., blinking Thinking can be in the service of rational action ...
... Rational behavior: doing the “right thing” The right thing: that which is expected to maximize goal achievement, given the available information Doesn't necessarily involve thinking, e.g., blinking Thinking can be in the service of rational action ...
Men Behaving Appropriately: Brian MacNamee ; Simon Dobbyn
... contains rules for the agent’s interaction with other agents. For example, the role might specify when it is appropriate for the agent to stop and interact with another character. Finally, a role contains a set of bindings to objects important to the current role. Arising from the integration with t ...
... contains rules for the agent’s interaction with other agents. For example, the role might specify when it is appropriate for the agent to stop and interact with another character. Finally, a role contains a set of bindings to objects important to the current role. Arising from the integration with t ...
ID2209 Distributed Artificial Intelligence and Intelligent Agents
... Wooldridge, Jennings (weak notion): Agent is a hardware or (more usually) software-based computer system that enjoys the following properties: • autonomy: agents operate without the direct intervention of humans or others, and have some kind of control over their actions and internal state; • pro- ...
... Wooldridge, Jennings (weak notion): Agent is a hardware or (more usually) software-based computer system that enjoys the following properties: • autonomy: agents operate without the direct intervention of humans or others, and have some kind of control over their actions and internal state; • pro- ...
Co-Designing Agents: A Vision
... For several years, some colleagues, students, and I have been developing autonomous agents that serve as actors in a virtual reality drama (Anstey et al., 2003; Shapiro et al., 2005a; Shapiro et al., 2005b; Shapiro et al., 2005c). The agents proved difficult to debug, principally for the following r ...
... For several years, some colleagues, students, and I have been developing autonomous agents that serve as actors in a virtual reality drama (Anstey et al., 2003; Shapiro et al., 2005a; Shapiro et al., 2005b; Shapiro et al., 2005c). The agents proved difficult to debug, principally for the following r ...
Note 1: introduction
... • Percept – refers to the agents perceptual inputs at any given instant • Percept sequence – complete history of everything the agent has perceived • An agent’s choice of action at any given instant can depend on the entire percept sequence observed to date • Agent function - maps any given percept ...
... • Percept – refers to the agents perceptual inputs at any given instant • Percept sequence – complete history of everything the agent has perceived • An agent’s choice of action at any given instant can depend on the entire percept sequence observed to date • Agent function - maps any given percept ...
Cognitive Requirements for Agent
... constructivist (high learner control) to instructivist (high program/agent control) continuum. A critical issue from a constructivist approach to agent-based learning environments is in moderating between the agent taking over thinking for the student with the agent training the student to think mor ...
... constructivist (high learner control) to instructivist (high program/agent control) continuum. A critical issue from a constructivist approach to agent-based learning environments is in moderating between the agent taking over thinking for the student with the agent training the student to think mor ...
Learning from Observations
... – They’re navigati onal robots - i.e. they move around in t heir environment. (As contrasted w ith e.g. w ith manipulatory robots.) – They are tu rtles: they have a chassis w ith tw o separately controllable w heels at the front, and a pivot w heel at the back. – They have a light sensor underneath, ...
... – They’re navigati onal robots - i.e. they move around in t heir environment. (As contrasted w ith e.g. w ith manipulatory robots.) – They are tu rtles: they have a chassis w ith tw o separately controllable w heels at the front, and a pivot w heel at the back. – They have a light sensor underneath, ...
Simulating Virtual Humans Across Diverse Situations
... nearby objects, events and other characters. Based on these percepts, and the contents of the knowledge base, these three units control an agent’s behaviour. In order to enable PPAs to give the impression of having a life beyond their association with simulation users, it should be possible to obser ...
... nearby objects, events and other characters. Based on these percepts, and the contents of the knowledge base, these three units control an agent’s behaviour. In order to enable PPAs to give the impression of having a life beyond their association with simulation users, it should be possible to obser ...
- RehanCodes
... An agent is just something that perceives and acts. (This may be an unusual use of the word, but you will get used to it.) In this approach, AI is viewed as the study and construction of rational agents. ...
... An agent is just something that perceives and acts. (This may be an unusual use of the word, but you will get used to it.) In this approach, AI is viewed as the study and construction of rational agents. ...
컴퓨터과학 입문 An Introduction to Computer Science.
... – understand the notion of an agent, how agents are distinct from other software paradigms (e.g., objects), and understand the characteristics of applications that lend themselves to an agentoriented solution; – understand the key issues associated with constructing agents capable of intelligent aut ...
... – understand the notion of an agent, how agents are distinct from other software paradigms (e.g., objects), and understand the characteristics of applications that lend themselves to an agentoriented solution; – understand the key issues associated with constructing agents capable of intelligent aut ...
MULTIPLE-AGENT PLANNING SYSTEMS Kurt Konolige Nils J. Nilsson
... From the point of view of each of these agents, the others are dynamic entities that possess information about the world, have goals, make plans to achieve these goals, and execute these plans. Thus, each agent must represent not only the usual information about objects in the world and the precondi ...
... From the point of view of each of these agents, the others are dynamic entities that possess information about the world, have goals, make plans to achieve these goals, and execute these plans. Thus, each agent must represent not only the usual information about objects in the world and the precondi ...
PANGEA: A New Platform for Developing Virtual Organizations of
... Each suborganization or work unit is automatically provided with an OrganizationAgent by the platform during the creation of the suborganization. This OrganizationAgent is similar to the OrganizationManager, but is only responsible for controlling the suborganizationn, and can communicate with the O ...
... Each suborganization or work unit is automatically provided with an OrganizationAgent by the platform during the creation of the suborganization. This OrganizationAgent is similar to the OrganizationManager, but is only responsible for controlling the suborganizationn, and can communicate with the O ...
Chapter 4 Decision Support and Artificial Intelligence: Brainpower
... Types of Decisions You Face decision – processing a certain information in a specified way so that you will always get the right answer Nonstructured decision – one for which there may be several “right” answers, without a sure way to get the right answer Recurring decision – happens repeatedly ...
... Types of Decisions You Face decision – processing a certain information in a specified way so that you will always get the right answer Nonstructured decision – one for which there may be several “right” answers, without a sure way to get the right answer Recurring decision – happens repeatedly ...
A Believable Agent for First-Person Shooter Games
... a number of distinct cognitive processes. As Figure 1 shows, on each cycle, I CARUS first perceives the environment and makes inferences about its situation. If the system finds a path through the skill hierarchy that matches against these beliefs and would make progress toward the current goal, it ...
... a number of distinct cognitive processes. As Figure 1 shows, on each cycle, I CARUS first perceives the environment and makes inferences about its situation. If the system finds a path through the skill hierarchy that matches against these beliefs and would make progress toward the current goal, it ...
A Believable Agent for First-Person Shooter Games
... Figure 1: Cycles of I CARUS architecture We believe that the architectural features above allow more human-like behaviors in embodied agents, while also making it easier to provide background knowledge equivalent to what humans have when they first start playing a game. In general, cognitive archite ...
... Figure 1: Cycles of I CARUS architecture We believe that the architectural features above allow more human-like behaviors in embodied agents, while also making it easier to provide background knowledge equivalent to what humans have when they first start playing a game. In general, cognitive archite ...
Intelligence - Barbara Hecker
... o Biomimicry – learning from ecosystems and adapting their characteristics to human and organizational situations o Used to 1. Learn how people-based systems behave 2. Predict how they will behave under certain circumstances 3. Improve human systems to make them more efficient and effective ...
... o Biomimicry – learning from ecosystems and adapting their characteristics to human and organizational situations o Used to 1. Learn how people-based systems behave 2. Predict how they will behave under certain circumstances 3. Improve human systems to make them more efficient and effective ...
A New Platform for Developing Virtual Organizations of Agents
... Each suborganization or work unit is automatically provided with an OrganizationAgent by the platform during the creation of the suborganization. This OrganizationAgent is similar to the OrganizationManager, but is only responsible for controlling the suborganizationn, and can communicate with the O ...
... Each suborganization or work unit is automatically provided with an OrganizationAgent by the platform during the creation of the suborganization. This OrganizationAgent is similar to the OrganizationManager, but is only responsible for controlling the suborganizationn, and can communicate with the O ...
Report
... Perhaps the hardest part of this strategy was building a “decision tree” (i.e. if-then/switch statement) to help the General use the state information to set each agent’s goal. After the preliminary round, though, we realized that our implementation had too much overhead. We simply weren’t able to ...
... Perhaps the hardest part of this strategy was building a “decision tree” (i.e. if-then/switch statement) to help the General use the state information to set each agent’s goal. After the preliminary round, though, we realized that our implementation had too much overhead. We simply weren’t able to ...
Agent definitions - Computer Science
... computer system that enjoys the following properties: • autonomy - agents operate without the direct intervention of humans or others, and have some kind of control over their actions and internal state; • social ability - agents interact with other agents (and possibly humans) via some kind of agen ...
... computer system that enjoys the following properties: • autonomy - agents operate without the direct intervention of humans or others, and have some kind of control over their actions and internal state; • social ability - agents interact with other agents (and possibly humans) via some kind of agen ...
Basic Marketing, 16e
... Types of Decisions You Face decision – processing a certain information in a specified way so that you will always get the right answer Nonstructured decision – one for which there may be several “right” answers, without a sure way to get the right answer Recurring decision – happens repeatedly ...
... Types of Decisions You Face decision – processing a certain information in a specified way so that you will always get the right answer Nonstructured decision – one for which there may be several “right” answers, without a sure way to get the right answer Recurring decision – happens repeatedly ...
CHAP4
... Types of Decisions You Face decision – processing a certain information in a specified way so that you will always get the right answer Nonstructured decision – one for which there may be several “right” answers, without a sure way to get the right answer Recurring decision – happens repeatedly ...
... Types of Decisions You Face decision – processing a certain information in a specified way so that you will always get the right answer Nonstructured decision – one for which there may be several “right” answers, without a sure way to get the right answer Recurring decision – happens repeatedly ...
Quagents: A Game Platform for Intelligent Agents Chris Brown
... of the three between two quagents. Only items are handled in the actual Quake program: money and information, being new to the Quake ontology, are handled in the quagent controllers. Our communication protocol (Barnum, Ferguson, & Brown 2004) is similar to the contract net (e.g., (Davis & Smith 1983 ...
... of the three between two quagents. Only items are handled in the actual Quake program: money and information, being new to the Quake ontology, are handled in the quagent controllers. Our communication protocol (Barnum, Ferguson, & Brown 2004) is similar to the contract net (e.g., (Davis & Smith 1983 ...
Intelligent Agent Architecture for Digital Library
... otherwise would be, and which is qualitative better than system that does not use artificial intelligence techniques. The size, complexity and as yet undetermined nature of digital libraries mean that a centralized development strategy is not likely to work. Agent-based systems are naturally decentr ...
... otherwise would be, and which is qualitative better than system that does not use artificial intelligence techniques. The size, complexity and as yet undetermined nature of digital libraries mean that a centralized development strategy is not likely to work. Agent-based systems are naturally decentr ...
