Assessing Elaborated Hypotheses: An Interpretive Case
... relevant pieces of evidence, and focuses on elaboration of this hypothesis. Thus, AHEAD’s cases do not need to be structured for efficient matching to large bodies of evidence. However, they do need to include information not only on what kinds of evidence are consistent with a given hypothesized th ...
... relevant pieces of evidence, and focuses on elaboration of this hypothesis. Thus, AHEAD’s cases do not need to be structured for efficient matching to large bodies of evidence. However, they do need to include information not only on what kinds of evidence are consistent with a given hypothesized th ...
On Constrained Optimization Approach to Object
... extract their boundary accurately. The extracted contour is then used in subsequent operations to provide vital information for obtaining quantitative measurements such as area or volume, and for determining qualitative features for latter stage of multi-modality image registration, classification a ...
... extract their boundary accurately. The extracted contour is then used in subsequent operations to provide vital information for obtaining quantitative measurements such as area or volume, and for determining qualitative features for latter stage of multi-modality image registration, classification a ...
Artificial Intelligence: a Promised Land for Web Services
... WS behave like agents and; using agents to orchestrate WS. 6.1 Adding Behaviour to WS via Agents Wrappers WS are componential, independent, software applications similar to agents. However, agents are also reactive, social and capable of reasoning [47]. If we wish web services to work together, we n ...
... WS behave like agents and; using agents to orchestrate WS. 6.1 Adding Behaviour to WS via Agents Wrappers WS are componential, independent, software applications similar to agents. However, agents are also reactive, social and capable of reasoning [47]. If we wish web services to work together, we n ...
Artificial Intelligence, Second Edition
... Here effectively computable means following well-defined operations; “computers” in Turing’s day were people who followed well-defined steps and computers as we know them today did not exist. This thesis says that all computation can be carried out on a Turing machine or one of the other equivalent ...
... Here effectively computable means following well-defined operations; “computers” in Turing’s day were people who followed well-defined steps and computers as we know them today did not exist. This thesis says that all computation can be carried out on a Turing machine or one of the other equivalent ...
egpai 2016 - ECAI 2016
... Perhaps a good start to understand the history of machine intelligence would be to take a look back at the imitation game [43] proposed by Turing in the 1950s where the idea is to have one or more human judges interrogating a program through an interface, and the program is considered intelligent if ...
... Perhaps a good start to understand the history of machine intelligence would be to take a look back at the imitation game [43] proposed by Turing in the 1950s where the idea is to have one or more human judges interrogating a program through an interface, and the program is considered intelligent if ...
Multiagent Reinforcement Learning With Unshared Value Functions
... is private information of an agent and the agent may not be willing to share such sensitive information with others. Second, mixed strategy equilibria are computationally expensive. Motivated by this, the goal of this paper is to develop novel and efficient MARL algorithms without sharing value func ...
... is private information of an agent and the agent may not be willing to share such sensitive information with others. Second, mixed strategy equilibria are computationally expensive. Motivated by this, the goal of this paper is to develop novel and efficient MARL algorithms without sharing value func ...
Towards Perceiving Robots as Humans: Three Handshake Models
... different strategies for optimizing success in the Prisoner's Dilemma game [47]. The proposed strategies were competed against each other in a tournament that revealed that the best strategy is when the players imitate each other’s actions from the previous iteration. The following algorithm employs ...
... different strategies for optimizing success in the Prisoner's Dilemma game [47]. The proposed strategies were competed against each other in a tournament that revealed that the best strategy is when the players imitate each other’s actions from the previous iteration. The following algorithm employs ...
Framework and Complexity Results for Coordinating Non
... recognize the interaction effects between individual planning methods of agents and the task-assignment methods employed, since the outcome of one agent is not only determined by the set of tasks it receives but also by the plans developed by other agents. We will show that such interaction effects ...
... recognize the interaction effects between individual planning methods of agents and the task-assignment methods employed, since the outcome of one agent is not only determined by the set of tasks it receives but also by the plans developed by other agents. We will show that such interaction effects ...
Accepting Optimally in Automated Negotiation with Incomplete
... On the other hand, carrying on with the negotiation involves a risk as well, as this gives up the possibility of accepting one of the previous offers. How then, should A decide whether to end or to continue the negotiation? Of course, A’s decision making process will depend on the current offer, as ...
... On the other hand, carrying on with the negotiation involves a risk as well, as this gives up the possibility of accepting one of the previous offers. How then, should A decide whether to end or to continue the negotiation? Of course, A’s decision making process will depend on the current offer, as ...
Narrative Intelligence - Carnegie Mellon School of Computer Science
... Intentional State Entailment: When people are acting in a narrative, the important part is not what the people do, but how they think and feel about what they do. Hermeneutic Composability: Just as a narrative comes to life from the actions of which it is composed, those actions are understood w ...
... Intentional State Entailment: When people are acting in a narrative, the important part is not what the people do, but how they think and feel about what they do. Hermeneutic Composability: Just as a narrative comes to life from the actions of which it is composed, those actions are understood w ...
Intelligent Agents: Theory and Practice
... Carl Hewitt recently remarked1 that the question what is an agent? is embarrassing for the 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 peopl ...
... Carl Hewitt recently remarked1 that the question what is an agent? is embarrassing for the 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 peopl ...
Intelligent Agent Technology and Application
... An object can be thought of as exhibiting autonomy over its state: it has control over it. But an object does not exhibit control over it’s behavior. ...
... An object can be thought of as exhibiting autonomy over its state: it has control over it. But an object does not exhibit control over it’s behavior. ...
The AI Rebellion: Changing the Narrative
... pre-rebellion or rebellion execution in which motivating and supporting factors of rebellion (see next section) are assessed to decide whether to trigger rebellion (e.g., Cara asking herself questions such as “Are my teammates under too much strain to handle an additional task?” in Scenario 6) or st ...
... pre-rebellion or rebellion execution in which motivating and supporting factors of rebellion (see next section) are assessed to decide whether to trigger rebellion (e.g., Cara asking herself questions such as “Are my teammates under too much strain to handle an additional task?” in Scenario 6) or st ...
Intelligent Agent Technology and Application
... An object can be thought of as exhibiting autonomy over its state: it has control over it. But an object does not exhibit control over it’s behavior. ...
... An object can be thought of as exhibiting autonomy over its state: it has control over it. But an object does not exhibit control over it’s behavior. ...
Improving Adjustable Autonomy Strategies for Time
... duration distribution. For example, if the resolving of an inconsistency is taking too long, the agent may wish to interrupt the resolve action and return to the inconsistent human decision Hdi so that the F inish state can be reached before the deadline. Rewards - The reward R for a state is only r ...
... duration distribution. For example, if the resolving of an inconsistency is taking too long, the agent may wish to interrupt the resolve action and return to the inconsistent human decision Hdi so that the F inish state can be reached before the deadline. Rewards - The reward R for a state is only r ...
Pogamut 3 – Virtual Humans Made Simple
... opposed to low-level behaviour being more akin to motor behaviour with a shorter time span. For example, high-level behaviour is finding an object in a house, which includes recalling where the object is and going for it while possibly avoiding obstacles. Low-level behaviour is picking the object up ...
... opposed to low-level behaviour being more akin to motor behaviour with a shorter time span. For example, high-level behaviour is finding an object in a house, which includes recalling where the object is and going for it while possibly avoiding obstacles. Low-level behaviour is picking the object up ...
Arguing with emotion (PDF Available)
... specific to one emotion type, for example, likelihood is associated with the emotion types hope and fear. Each variable has a value and weight that determines whether the emotion is triggered (the emotional threshold has been attained) and at what intensity. Emotions and their intensities also have ...
... specific to one emotion type, for example, likelihood is associated with the emotion types hope and fear. Each variable has a value and weight that determines whether the emotion is triggered (the emotional threshold has been attained) and at what intensity. Emotions and their intensities also have ...
Software Agents - UMBC Agent Web
... is practical for people to predict behavior according to physical characteristics and laws. If we understand enough about a designed system (e.g., an automobile), we can conveniently predict its behavior based on its functions, i.e., what it is designed to do. However as John McCarthy observed in hi ...
... is practical for people to predict behavior according to physical characteristics and laws. If we understand enough about a designed system (e.g., an automobile), we can conveniently predict its behavior based on its functions, i.e., what it is designed to do. However as John McCarthy observed in hi ...
Case-based Reasoning and Multiple-agent Systems for Accounting
... occurrences. Average behavior is not appropri ate for all situations, particularly where there is averaging of inconsistent views. Further, if a single rule-base is used then that indicates that alternative views on the knowledge in the system have been consoli dated into a single one. Often this ...
... occurrences. Average behavior is not appropri ate for all situations, particularly where there is averaging of inconsistent views. Further, if a single rule-base is used then that indicates that alternative views on the knowledge in the system have been consoli dated into a single one. Often this ...
Intelligent Agent Technology and Application
... An object can be thought of as exhibiting autonomy over its state: it has control over it. But an object does not exhibit control over it’s behavior. ...
... An object can be thought of as exhibiting autonomy over its state: it has control over it. But an object does not exhibit control over it’s behavior. ...
A neurocomputational model of the mammalian fear
... their functions [37]. It is a particularly interesting case study because of how well linked it is to learning and memory; fearful experiences have a strong effect on an animal’s future behaviour [37]. This link provides a potential avenue of investigation into how low-level reward and punishment sys ...
... their functions [37]. It is a particularly interesting case study because of how well linked it is to learning and memory; fearful experiences have a strong effect on an animal’s future behaviour [37]. This link provides a potential avenue of investigation into how low-level reward and punishment sys ...
Space-Time Embedded Intelligence
... Legg’s definition ignores the agent’s computational resource requirements and considers intelligence to be independent of such constraints. It is mathematically aesthetic and also useful, but because it does not include time and space constraints, an actual agent designed according to this measure ( ...
... Legg’s definition ignores the agent’s computational resource requirements and considers intelligence to be independent of such constraints. It is mathematically aesthetic and also useful, but because it does not include time and space constraints, an actual agent designed according to this measure ( ...