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... the nice property that bidding agents should simply bid their true private values (i.e., exactly what they think it is worth to them), removing any need for additional reasoning about its worth to others. Market simulations and economics can also be used to distribute large quantities of resources a ...
... the nice property that bidding agents should simply bid their true private values (i.e., exactly what they think it is worth to them), removing any need for additional reasoning about its worth to others. Market simulations and economics can also be used to distribute large quantities of resources a ...
Maximising overlap score in DNA sequence assembly problem by
... Adenine (A), Thymine (T), Cytosine (C) and Guanine (G) are meaningless on their own, they are joined into useful instructions in genes. It is interesting to note that more than 99 percent of human’s structure is genetically identical [22]. Imagine having several copies of the same book written in a ...
... Adenine (A), Thymine (T), Cytosine (C) and Guanine (G) are meaningless on their own, they are joined into useful instructions in genes. It is interesting to note that more than 99 percent of human’s structure is genetically identical [22]. Imagine having several copies of the same book written in a ...
Learning Action Models for Multi-Agent Planning
... be fed to multi-agent planning systems, such as the planning first system [11]. In the past, there have been several works on learning action models for single agents, such as ARMS [16] and SLAF [1]. However, these learning algorithms did not take into account multiagent situations. One possibility ...
... be fed to multi-agent planning systems, such as the planning first system [11]. In the past, there have been several works on learning action models for single agents, such as ARMS [16] and SLAF [1]. However, these learning algorithms did not take into account multiagent situations. One possibility ...
What kind of cognitive process is argumentation?
... Attempt at specification of functional modules – Knowledge acquisition system (not necessarily perceptual, but necessarily verbal) • Language of argumentation can be simplified or purely formal in minimal agents but shouldn't be too simple – Knowledge representation system – Argumentation module, im ...
... Attempt at specification of functional modules – Knowledge acquisition system (not necessarily perceptual, but necessarily verbal) • Language of argumentation can be simplified or purely formal in minimal agents but shouldn't be too simple – Knowledge representation system – Argumentation module, im ...
Reorganisation and Self-organisation in Multi
... Changing the organisation may imply changes within the system at different levels and at different extents. These changes strongly depend on the chosen view (ACPV or OCVP) and on the organisational capabilities of agents (being or not aware of the organisation). Considering the emergence-based MAS, ...
... Changing the organisation may imply changes within the system at different levels and at different extents. These changes strongly depend on the chosen view (ACPV or OCVP) and on the organisational capabilities of agents (being or not aware of the organisation). Considering the emergence-based MAS, ...
Introduction - Tamara L Berg
... – Programming knowledge and data structures (COMP 401 and 410) are required – Reasonable knowledge of probability, algorithms, calculus also highly desired – There will be a lot of math and programming ...
... – Programming knowledge and data structures (COMP 401 and 410) are required – Reasonable knowledge of probability, algorithms, calculus also highly desired – There will be a lot of math and programming ...
Intelligent Agent
... We use the term performance measure for the how—the criteria that determine how successful an agent is. Obviously, there is not one fixed measure suitable for all agents. We could ask the agent for a subjective opinion of how happy it is with its own performance, but some agents would be unable to a ...
... We use the term performance measure for the how—the criteria that determine how successful an agent is. Obviously, there is not one fixed measure suitable for all agents. We could ask the agent for a subjective opinion of how happy it is with its own performance, but some agents would be unable to a ...
Dialogue Games for Inconsistent and Biased Information
... to work out a semantics of speech acts that can cope with different epistemic modalities. What is still lacking in all these approaches is an analysis of dialogue games in multi-agent systems that can cope with epistemic modalities. We consider locutions to be inconsistent when the information conte ...
... to work out a semantics of speech acts that can cope with different epistemic modalities. What is still lacking in all these approaches is an analysis of dialogue games in multi-agent systems that can cope with epistemic modalities. We consider locutions to be inconsistent when the information conte ...
Searching Social Networks
... who have the desired information or expertise. Finding them involves naturally depends on our social network: our friends, our friends’ friends, and so on. Clearly, building and maintaining a central repository of social relationships is not feasible: people usually cannot and, because of considerat ...
... who have the desired information or expertise. Finding them involves naturally depends on our social network: our friends, our friends’ friends, and so on. Clearly, building and maintaining a central repository of social relationships is not feasible: people usually cannot and, because of considerat ...
On Agent Design Rationale
... the agent organizations, and for studying how architectures are related to specific tasks [Sloman 94]. The evolution from a body to a mind, i.e. from function types to mental states, can be understood as a normal way to clarify higher-level processes above the socalled knowledge level [Newell 81]. T ...
... the agent organizations, and for studying how architectures are related to specific tasks [Sloman 94]. The evolution from a body to a mind, i.e. from function types to mental states, can be understood as a normal way to clarify higher-level processes above the socalled knowledge level [Newell 81]. T ...
Intelligent Agents - Department of Computer Science, Oxford
... We are not used to thinking of thermostats or UNIX daemons as agents, and certainly not as intelligent agents. So, when do we consider an agent to be intelligent? The question, like the question what is intelligence? itself, is not an easy one to answer. But for me, an intelligent agent is one that ...
... We are not used to thinking of thermostats or UNIX daemons as agents, and certainly not as intelligent agents. So, when do we consider an agent to be intelligent? The question, like the question what is intelligence? itself, is not an easy one to answer. But for me, an intelligent agent is one that ...
Multi-Agent Path Finding with Kinematic Constraints
... see Figure 1c. However, this MAPF plan is nearly impossible to execute safely on actual robots due to their imperfect plan-execution capabilities. It is communication-intensive for the robots to remain perfectly synchronized as they follow their paths and their individual progress will thus deviate ...
... see Figure 1c. However, this MAPF plan is nearly impossible to execute safely on actual robots due to their imperfect plan-execution capabilities. It is communication-intensive for the robots to remain perfectly synchronized as they follow their paths and their individual progress will thus deviate ...
Cognitive Medical Multiagent Systems
... Recently, there have been developed agent-based medical diagnosis systems that eliminate some disadvantages of the medical expert systems [3]. Motivations of the use of agents for different medical problems solving consist in the proprieties of the agents, like: increased autonomy in operation, capa ...
... Recently, there have been developed agent-based medical diagnosis systems that eliminate some disadvantages of the medical expert systems [3]. Motivations of the use of agents for different medical problems solving consist in the proprieties of the agents, like: increased autonomy in operation, capa ...
Reasoning about Action and Cooperation
... to study the logic of each of these ‘modules’ in isolation before putting them together. This approach is also interesting, because it allows us to ‘reuse’ existing logics and exploit them as ‘modules’ in a richer system. In Section 2 we will present the two building blocks of our framework. In sect ...
... to study the logic of each of these ‘modules’ in isolation before putting them together. This approach is also interesting, because it allows us to ‘reuse’ existing logics and exploit them as ‘modules’ in a richer system. In Section 2 we will present the two building blocks of our framework. In sect ...
Solving Distributed Constraint Optimization Problems Using Logic
... combinations of value assignments in a decentralized manner; (ii) inference-based algorithms [37, 7], where the agents use dynamic programming to propagate aggregated information to other agents; and (iii) sampling-based algorithms [36, 34], where the agents sample the search space in a decentralize ...
... combinations of value assignments in a decentralized manner; (ii) inference-based algorithms [37, 7], where the agents use dynamic programming to propagate aggregated information to other agents; and (iii) sampling-based algorithms [36, 34], where the agents sample the search space in a decentralize ...
Minimizing Road Network Breakdown Probability
... agents, because each agent is trying to maximize its own objective. However, it is almost impossible for agent-based approaches to guarantee achieving a global optimum. On the other hand, network-based approaches will take the system’s overall performance as the evaluation metric. Therefore, the glo ...
... agents, because each agent is trying to maximize its own objective. However, it is almost impossible for agent-based approaches to guarantee achieving a global optimum. On the other hand, network-based approaches will take the system’s overall performance as the evaluation metric. Therefore, the glo ...
Artificial Intelligence, Second Edition
... lambda calculus of Church (1903–1995), which is a mathematical formalism for rewriting formulas. It can be shown that these very different formalisms are equivalent in that any function computable by one is computable by the others. This leads to the Church–Turing thesis: Any effectively computable ...
... lambda calculus of Church (1903–1995), which is a mathematical formalism for rewriting formulas. It can be shown that these very different formalisms are equivalent in that any function computable by one is computable by the others. This leads to the Church–Turing thesis: Any effectively computable ...
stairs 2012 - Shiwali Mohan
... Options [3], HAMs [4]. A summary of work in HRL is given by [5]. The motivation and scope for research in computer games is documented in [6]. Marthi et al. [7] applied hierarchical RL to scale to complex environments where the agent has to control several effectors simultaneously. They describe a c ...
... Options [3], HAMs [4]. A summary of work in HRL is given by [5]. The motivation and scope for research in computer games is documented in [6]. Marthi et al. [7] applied hierarchical RL to scale to complex environments where the agent has to control several effectors simultaneously. They describe a c ...
Decision-Theoretic Planning for Multi
... • Sequential decisions: problems are formulated as a sequence of discrete “independent” decisions. • Markovian environment: the state at time t depends only on the events at time t − 1. • Stochastic models: the uncertainty about the outcome of actions and sensing can be accurately captured. • Object ...
... • Sequential decisions: problems are formulated as a sequence of discrete “independent” decisions. • Markovian environment: the state at time t depends only on the events at time t − 1. • Stochastic models: the uncertainty about the outcome of actions and sensing can be accurately captured. • Object ...
Generalized Discrete Preference Games
... These results come in contrast to the price of anarchy that can be unbounded; the same result has also been observed independently by Ferraioli et al. [2012]. Recently, Auletta et al. [2015] also proved that a best response dynamics can lead from the truthful profile (in which agents’ opinion coinci ...
... These results come in contrast to the price of anarchy that can be unbounded; the same result has also been observed independently by Ferraioli et al. [2012]. Recently, Auletta et al. [2015] also proved that a best response dynamics can lead from the truthful profile (in which agents’ opinion coinci ...
Multiagent Reinforcement Learning With Unshared Value Functions
... and so on. Due to the dynamics and complexity of environments, some machine learning techniques have been developed for MASs in order to improve the performance of each agent and the whole system. One common learning technique in a MAS is multiagent reinforcement learning (MARL), which is an extensi ...
... and so on. Due to the dynamics and complexity of environments, some machine learning techniques have been developed for MASs in order to improve the performance of each agent and the whole system. One common learning technique in a MAS is multiagent reinforcement learning (MARL), which is an extensi ...
Artificial Intelligence, Lecture 1.2, Page 1
... Decision-theoretic Planning flat or hierarchical explicit states or features or objects and relations static or finite stage or indefinite stage or infinite stage fully observable or partially observable deterministic or stochastic actions goals or complex preferences single agent or multiple agent ...
... Decision-theoretic Planning flat or hierarchical explicit states or features or objects and relations static or finite stage or indefinite stage or infinite stage fully observable or partially observable deterministic or stochastic actions goals or complex preferences single agent or multiple agent ...
The Role of Social and Cognitive Abilities in the Emergence of
... can receive signals from any individual of the previous population. This factor is aimed at investigating the role of different social groups of speakers in facilitating shared communication. The second independent variable manipulated during experiments consists in the time in which communication ...
... can receive signals from any individual of the previous population. This factor is aimed at investigating the role of different social groups of speakers in facilitating shared communication. The second independent variable manipulated during experiments consists in the time in which communication ...
Rollout Sampling Policy Iteration for Decentralized POMDPs
... local observation history only. It is not clear how to maintain a sufficient statistic, such as a belief state in POMDPs, based only on the local partial information of each agent. Thus, most of the works on multi-agent partially observable domains are policy-based and learning in DEC-POMDP settings ...
... local observation history only. It is not clear how to maintain a sufficient statistic, such as a belief state in POMDPs, based only on the local partial information of each agent. Thus, most of the works on multi-agent partially observable domains are policy-based and learning in DEC-POMDP settings ...
Artificial Intelligence: Modern Approach
... The unifying theme of the book is the concept of an intelligent agent. In this view, the problem of AI is to describe and build agents that receive percepts from the environment and perform actions. Each such agent is implemented by a function that maps percepts to actions, and we cover different wa ...
... The unifying theme of the book is the concept of an intelligent agent. In this view, the problem of AI is to describe and build agents that receive percepts from the environment and perform actions. Each such agent is implemented by a function that maps percepts to actions, and we cover different wa ...